LoneStriker
commited on
Commit
•
3534a34
1
Parent(s):
398ce16
Upload folder using huggingface_hub
Browse files- README.md +201 -0
- config.json +34 -0
- mergekit_moe_config.yml +79 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00003.safetensors +3 -0
- output-00002-of-00003.safetensors +3 -0
- output-00003-of-00003.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
ADDED
@@ -0,0 +1,201 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
tags:
|
4 |
+
- moe
|
5 |
+
- merge
|
6 |
+
- mergekit
|
7 |
+
- kodonho/SolarM-SakuraSolar-SLERP
|
8 |
+
- Sao10K/Sensualize-Solar-10.7B
|
9 |
+
- NousResearch/Nous-Hermes-2-SOLAR-10.7B
|
10 |
+
- fblgit/UNA-SOLAR-10.7B-Instruct-v1.0
|
11 |
+
---
|
12 |
+
|
13 |
+
![image/png](https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/TN6IeT8hHjMCVljzVn2Fs.png)
|
14 |
+
|
15 |
+
# Umbra-MoE-4x10.7
|
16 |
+
|
17 |
+
Umbra is an off shoot of the [Lumosia Series] with a Focus in General Knowledge and RP/ERP
|
18 |
+
|
19 |
+
This model was built around the idea someone wanted a General Assiatant that could also tell Stories/RP/ERP when wanted.
|
20 |
+
|
21 |
+
This is a very experimental model. It's a combination MoE of Solar models, the models selected are personal favorites.
|
22 |
+
|
23 |
+
base context is 4k but it stays coherent up to 16k
|
24 |
+
|
25 |
+
Please let me know how the model works for you.
|
26 |
+
|
27 |
+
Template: ChatML
|
28 |
+
```
|
29 |
+
### System:
|
30 |
+
|
31 |
+
### USER:{prompt}
|
32 |
+
|
33 |
+
### Assistant:
|
34 |
+
```
|
35 |
+
|
36 |
+
|
37 |
+
Settings:
|
38 |
+
```
|
39 |
+
Temp: 1.0
|
40 |
+
min-p: 0.02-0.1
|
41 |
+
```
|
42 |
+
|
43 |
+
## Evals:
|
44 |
+
|
45 |
+
* Avg: 73.4
|
46 |
+
* ARC: 70.31
|
47 |
+
* HellaSwag: 87.81
|
48 |
+
* MMLU: 66.42
|
49 |
+
* T-QA: 67.82
|
50 |
+
* Winogrande: 83.27
|
51 |
+
* GSM8K: 64.75
|
52 |
+
|
53 |
+
## Examples:
|
54 |
+
```
|
55 |
+
|
56 |
+
User:
|
57 |
+
Tell me an interesting fact.
|
58 |
+
|
59 |
+
Umbra:
|
60 |
+
The Amazon Rainforest is home to an astounding variety of life forms.
|
61 |
+
|
62 |
+
It encompasses over five million square kilometers across nine South American countries and holds approximately one-third of all known species on Earth.
|
63 |
+
|
64 |
+
This biodiversity hotspot supports more than 390 billion individual trees representing 16,000 species.
|
65 |
+
|
66 |
+
Over two million insect species live here alongside thousands of bird, mammal, amphibian, and reptile species. In this dense forest, indigenous communities have developed intricate knowledge systems that allow them to thrive sustainably within their surroundings.
|
67 |
+
|
68 |
+
```
|
69 |
+
```
|
70 |
+
|
71 |
+
User:
|
72 |
+
Tell me a story about a red haired fox
|
73 |
+
|
74 |
+
Umbra:
|
75 |
+
In the enchanted forest of Ardenwood, a vibrant world teeming with life and magic, lived a curious creature known as Vixie, whose russet fur glowed against the verdure that surrounded her. Her emerald eyes twinkled with mischief and wonder as she roamed the lush landscape, befriending all who crossed her path.
|
76 |
+
|
77 |
+
One sunlit afternoon, Vixie found herself weaving amongst a sea of tall grasses swaying gently in the breeze. Ahead lay a shimmering riverbank, where a gathering of animals was assembled around a mystifying sight - a radiant stone pulsing with an ethereal glow.
|
78 |
+
|
79 |
+
A majestic stag approached Vixie, his voice resonating with authority. He introduced himself as Elthon, leader of this assembly. They had gathered to seek guidance from the celestial gem, said to hold the secrets of the universe within its sparkling depths.
|
80 |
+
|
81 |
+
Vixie, filled with curiosity, asked if she could partake in their quest for knowledge. Elthon agreed, and they each took turns gazing into the jewel. As Vixie's turn came, she felt a tingling sensation course through her body, her senses heightened as the stone revealed a vision before her.
|
82 |
+
|
83 |
+
In the dreamlike tableau, Vixie saw herself standing atop a hill overlooking Ardenwood. She watched as the seasons changed, the land thrived, and creatures played out their destinies. It appeared the fates of these beings were intertwined, a tapestry woven together by love, friendship, sacrifice, and growth.
|
84 |
+
|
85 |
+
When the trance subsided, Vixie returned to the present moment, feeling humbled and grateful. This revelation emboldened her desire to cherish those bonds she shared with others, knowing how vital they were to the beauty and harmony of the enchanted realm. From then on, Vixie continued her adventures with renewed purpose, nurturing friendships and embracing the mysteries of Ardenwood.
|
86 |
+
|
87 |
+
```
|
88 |
+
|
89 |
+
Umbra-MoE-4x10.7 is a Mixure of Experts (MoE) made with the following models using:
|
90 |
+
* [kodonho/SolarM-SakuraSolar-SLERP](https://huggingface.co/kodonho/SolarM-SakuraSolar-SLERP)
|
91 |
+
* [Sao10K/Sensualize-Solar-10.7B](https://huggingface.co/Sao10K/Sensualize-Solar-10.7B)
|
92 |
+
* [NousResearch/Nous-Hermes-2-SOLAR-10.7B](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B)
|
93 |
+
* [fblgit/UNA-SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/fblgit/UNA-SOLAR-10.7B-Instruct-v1.0)
|
94 |
+
|
95 |
+
## 🧩 Configuration
|
96 |
+
|
97 |
+
```
|
98 |
+
base_model: kodonho/SolarM-SakuraSolar-SLERP
|
99 |
+
gate_mode: hidden
|
100 |
+
dtype: bfloat16
|
101 |
+
experts:
|
102 |
+
- source_model: kodonho/SolarM-SakuraSolar-SLERP
|
103 |
+
positive_prompts:
|
104 |
+
- "versatile"
|
105 |
+
- "helpful"
|
106 |
+
- "factual"
|
107 |
+
- "integrated"
|
108 |
+
- "adaptive"
|
109 |
+
- "comprehensive"
|
110 |
+
- "balanced"
|
111 |
+
negative_prompts:
|
112 |
+
- "specialized"
|
113 |
+
- "narrow"
|
114 |
+
- "focused"
|
115 |
+
- "limited"
|
116 |
+
- "specific"
|
117 |
+
|
118 |
+
- source_model: Sao10K/Sensualize-Solar-10.7B
|
119 |
+
positive_prompts:
|
120 |
+
- "creative"
|
121 |
+
- "chat"
|
122 |
+
- "discuss"
|
123 |
+
- "culture"
|
124 |
+
- "world"
|
125 |
+
- "expressive"
|
126 |
+
- "detailed"
|
127 |
+
- "imaginative"
|
128 |
+
- "engaging"
|
129 |
+
negative_prompts:
|
130 |
+
- "sorry"
|
131 |
+
- "cannot"
|
132 |
+
- "factual"
|
133 |
+
- "concise"
|
134 |
+
- "straightforward"
|
135 |
+
- "objective"
|
136 |
+
- "dry"
|
137 |
+
|
138 |
+
- source_model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
|
139 |
+
positive_prompts:
|
140 |
+
- "analytical"
|
141 |
+
- "accurate"
|
142 |
+
- "logical"
|
143 |
+
- "knowledgeable"
|
144 |
+
- "precise"
|
145 |
+
- "calculate"
|
146 |
+
- "compute"
|
147 |
+
- "solve"
|
148 |
+
- "work"
|
149 |
+
- "python"
|
150 |
+
- "javascript"
|
151 |
+
- "programming"
|
152 |
+
- "algorithm"
|
153 |
+
- "tell me"
|
154 |
+
- "assistant"
|
155 |
+
negative_prompts:
|
156 |
+
- "creative"
|
157 |
+
- "abstract"
|
158 |
+
- "imaginative"
|
159 |
+
- "artistic"
|
160 |
+
- "emotional"
|
161 |
+
- "mistake"
|
162 |
+
- "inaccurate"
|
163 |
+
|
164 |
+
- source_model: fblgit/UNA-SOLAR-10.7B-Instruct-v1.0
|
165 |
+
positive_prompts:
|
166 |
+
- "instructive"
|
167 |
+
- "clear"
|
168 |
+
- "directive"
|
169 |
+
- "helpful"
|
170 |
+
- "informative"
|
171 |
+
negative_prompts:
|
172 |
+
- "exploratory"
|
173 |
+
- "open-ended"
|
174 |
+
- "narrative"
|
175 |
+
- "speculative"
|
176 |
+
- "artistic"
|
177 |
+
```
|
178 |
+
|
179 |
+
## 💻 Usage
|
180 |
+
|
181 |
+
```python
|
182 |
+
!pip install -qU transformers bitsandbytes accelerate
|
183 |
+
|
184 |
+
from transformers import AutoTokenizer
|
185 |
+
import transformers
|
186 |
+
import torch
|
187 |
+
|
188 |
+
model = "Steelskull/Umbra-MoE-4x10.7"
|
189 |
+
|
190 |
+
tokenizer = AutoTokenizer.from_pretrained(model)
|
191 |
+
pipeline = transformers.pipeline(
|
192 |
+
"text-generation",
|
193 |
+
model=model,
|
194 |
+
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
|
195 |
+
)
|
196 |
+
|
197 |
+
messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
|
198 |
+
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
199 |
+
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
200 |
+
print(outputs[0]["generated_text"])
|
201 |
+
```
|
config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "kodonho/SolarM-SakuraSolar-SLERP",
|
3 |
+
"architectures": [
|
4 |
+
"MixtralForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 4096,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 14336,
|
14 |
+
"max_position_embeddings": 4096,
|
15 |
+
"model_type": "mixtral",
|
16 |
+
"num_attention_heads": 32,
|
17 |
+
"num_experts_per_tok": 2,
|
18 |
+
"num_hidden_layers": 48,
|
19 |
+
"num_key_value_heads": 8,
|
20 |
+
"num_local_experts": 4,
|
21 |
+
"output_router_logits": false,
|
22 |
+
"pad_token_id": 2,
|
23 |
+
"pretraining_tp": 1,
|
24 |
+
"rms_norm_eps": 1e-05,
|
25 |
+
"rope_scaling": null,
|
26 |
+
"rope_theta": 10000.0,
|
27 |
+
"router_aux_loss_coef": 0.001,
|
28 |
+
"sliding_window": null,
|
29 |
+
"tie_word_embeddings": false,
|
30 |
+
"torch_dtype": "float32",
|
31 |
+
"transformers_version": "4.36.2",
|
32 |
+
"use_cache": true,
|
33 |
+
"vocab_size": 32000
|
34 |
+
}
|
mergekit_moe_config.yml
ADDED
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model: kodonho/SolarM-SakuraSolar-SLERP
|
2 |
+
gate_mode: hidden
|
3 |
+
dtype: bfloat16
|
4 |
+
experts:
|
5 |
+
- source_model: kodonho/SolarM-SakuraSolar-SLERP
|
6 |
+
positive_prompts:
|
7 |
+
- "versatile"
|
8 |
+
- "helpful"
|
9 |
+
- "factual"
|
10 |
+
- "integrated"
|
11 |
+
- "adaptive"
|
12 |
+
- "comprehensive"
|
13 |
+
- "balanced"
|
14 |
+
negative_prompts:
|
15 |
+
- "specialized"
|
16 |
+
- "narrow"
|
17 |
+
- "focused"
|
18 |
+
- "limited"
|
19 |
+
- "specific"
|
20 |
+
|
21 |
+
- source_model: Sao10K/Sensualize-Solar-10.7B
|
22 |
+
positive_prompts:
|
23 |
+
- "creative"
|
24 |
+
- "chat"
|
25 |
+
- "discuss"
|
26 |
+
- "culture"
|
27 |
+
- "world"
|
28 |
+
- "expressive"
|
29 |
+
- "detailed"
|
30 |
+
- "imaginative"
|
31 |
+
- "engaging"
|
32 |
+
negative_prompts:
|
33 |
+
- "sorry"
|
34 |
+
- "cannot"
|
35 |
+
- "factual"
|
36 |
+
- "concise"
|
37 |
+
- "straightforward"
|
38 |
+
- "objective"
|
39 |
+
- "dry"
|
40 |
+
|
41 |
+
- source_model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
|
42 |
+
positive_prompts:
|
43 |
+
- "analytical"
|
44 |
+
- "accurate"
|
45 |
+
- "logical"
|
46 |
+
- "knowledgeable"
|
47 |
+
- "precise"
|
48 |
+
- "calculate"
|
49 |
+
- "compute"
|
50 |
+
- "solve"
|
51 |
+
- "work"
|
52 |
+
- "python"
|
53 |
+
- "javascript"
|
54 |
+
- "programming"
|
55 |
+
- "algorithm"
|
56 |
+
- "tell me"
|
57 |
+
- "assistant"
|
58 |
+
negative_prompts:
|
59 |
+
- "creative"
|
60 |
+
- "abstract"
|
61 |
+
- "imaginative"
|
62 |
+
- "artistic"
|
63 |
+
- "emotional"
|
64 |
+
- "mistake"
|
65 |
+
- "inaccurate"
|
66 |
+
|
67 |
+
- source_model: fblgit/UNA-SOLAR-10.7B-Instruct-v1.0
|
68 |
+
positive_prompts:
|
69 |
+
- "instructive"
|
70 |
+
- "clear"
|
71 |
+
- "directive"
|
72 |
+
- "helpful"
|
73 |
+
- "informative"
|
74 |
+
negative_prompts:
|
75 |
+
- "exploratory"
|
76 |
+
- "open-ended"
|
77 |
+
- "narrative"
|
78 |
+
- "speculative"
|
79 |
+
- "artistic"
|
model.safetensors.index.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"metadata": {"mergekit_version": "0.0.3.2"}, "weight_map": {"model.embed_tokens.weight": "model-00001-of-00008.safetensors", "model.norm.weight": "model-00001-of-00008.safetensors", "lm_head.weight": "model-00001-of-00008.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.2.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.6.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.7.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.8.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.9.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.10.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.11.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.12.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.13.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.14.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.15.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.16.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.17.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.18.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.19.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.20.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.21.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.22.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.23.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.24.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.25.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.26.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.27.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.28.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.29.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.30.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.31.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.32.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.33.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.34.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.35.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.36.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.37.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.38.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.39.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.40.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.41.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.42.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.43.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.44.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.45.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.46.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.47.input_layernorm.weight": "model-00001-of-00008.safetensors", "model.layers.0.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.0.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.0.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.0.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.1.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.1.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.1.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.1.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.2.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.2.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.2.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.2.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.3.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.3.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.3.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.3.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.4.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.4.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.4.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.4.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.5.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.5.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.5.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.5.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.6.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.6.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.6.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.6.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.7.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.7.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.7.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.7.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.8.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.8.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.8.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.8.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.9.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.9.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.9.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.9.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.10.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.10.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.10.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.10.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.11.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.11.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.11.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.11.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.12.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.12.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.12.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.12.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.13.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.13.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.13.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.13.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.14.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.14.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.14.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.14.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.15.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.15.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.15.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.15.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.16.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.16.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.16.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.16.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.17.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.17.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.17.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.17.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.18.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.18.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.18.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.18.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.19.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00008.safetensors", "model.layers.19.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00008.safetensors", "model.layers.19.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00008.safetensors", "model.layers.19.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00008.safetensors", "model.layers.20.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.20.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.20.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.20.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.21.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.21.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.21.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.21.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.22.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.22.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.22.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.22.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.23.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.23.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.23.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.23.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.24.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.24.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.24.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.24.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.25.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.25.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.25.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.25.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.26.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.26.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.26.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.26.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.27.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.27.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.27.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.27.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.28.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.28.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.28.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.28.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.29.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.29.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.29.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.29.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.30.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.30.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.30.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.30.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.31.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.31.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.31.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.31.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.32.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.32.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.32.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.32.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.33.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.33.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.33.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.33.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.34.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.34.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.34.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.34.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.35.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.35.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.35.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.35.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.36.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.36.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.36.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.36.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.37.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.37.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.37.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.37.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.38.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.38.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.38.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.38.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.39.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.39.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.39.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.39.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.40.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.40.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00008.safetensors", "model.layers.40.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00008.safetensors", "model.layers.40.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00008.safetensors", "model.layers.41.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00008.safetensors", "model.layers.41.block_sparse_moe.experts.1.w3.weight": "model-00003-of-00008.safetensors", "model.layers.41.block_sparse_moe.experts.2.w3.weight": "model-00003-of-00008.safetensors", "model.layers.41.block_sparse_moe.experts.3.w3.weight": "model-00003-of-00008.safetensors", "model.layers.42.block_sparse_moe.experts.0.w3.weight": "model-00003-of-00008.safetensors", "model.layers.42.block_sparse_moe.experts.1.w3.weight": "model-00003-of-00008.safetensors", "model.layers.42.block_sparse_moe.experts.2.w3.weight": "model-00003-of-00008.safetensors", "model.layers.42.block_sparse_moe.experts.3.w3.weight": "model-00003-of-00008.safetensors", "model.layers.43.block_sparse_moe.experts.0.w3.weight": "model-00003-of-00008.safetensors", "model.layers.43.block_sparse_moe.experts.1.w3.weight": "model-00003-of-00008.safetensors", "model.layers.43.block_sparse_moe.experts.2.w3.weight": "model-00003-of-00008.safetensors", "model.layers.43.block_sparse_moe.experts.3.w3.weight": "model-00003-of-00008.safetensors", "model.layers.44.block_sparse_moe.experts.0.w3.weight": "model-00003-of-00008.safetensors", "model.layers.44.block_sparse_moe.experts.1.w3.weight": "model-00003-of-00008.safetensors", "model.layers.44.block_sparse_moe.experts.2.w3.weight": "model-00003-of-00008.safetensors", "model.layers.44.block_sparse_moe.experts.3.w3.weight": "model-00003-of-00008.safetensors", "model.layers.45.block_sparse_moe.experts.0.w3.weight": "model-00003-of-00008.safetensors", "model.layers.45.block_sparse_moe.experts.1.w3.weight": "model-00003-of-00008.safetensors", "model.layers.45.block_sparse_moe.experts.2.w3.weight": "model-00003-of-00008.safetensors", "model.layers.45.block_sparse_moe.experts.3.w3.weight": "model-00003-of-00008.safetensors", "model.layers.46.block_sparse_moe.experts.0.w3.weight": "model-00003-of-00008.safetensors", "model.layers.46.block_sparse_moe.experts.1.w3.weight": "model-00003-of-00008.safetensors", "model.layers.46.block_sparse_moe.experts.2.w3.weight": "model-00003-of-00008.safetensors", "model.layers.46.block_sparse_moe.experts.3.w3.weight": "model-00003-of-00008.safetensors", "model.layers.47.block_sparse_moe.experts.0.w3.weight": "model-00003-of-00008.safetensors", "model.layers.47.block_sparse_moe.experts.1.w3.weight": "model-00003-of-00008.safetensors", "model.layers.47.block_sparse_moe.experts.2.w3.weight": "model-00003-of-00008.safetensors", "model.layers.47.block_sparse_moe.experts.3.w3.weight": "model-00003-of-00008.safetensors", "model.layers.0.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.0.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.0.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.0.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.1.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.1.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.1.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.1.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.2.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.2.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.2.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.2.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.3.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.3.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.3.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.3.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.4.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.4.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.4.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.4.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.5.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.5.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.5.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.5.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.6.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.6.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.6.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.6.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.7.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.7.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.7.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.7.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.8.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.8.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.8.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.8.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.9.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.9.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.9.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.9.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.10.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.10.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.10.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.10.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.11.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.11.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.11.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.11.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.12.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.12.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.12.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.12.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.13.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.13.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.13.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00008.safetensors", "model.layers.13.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00008.safetensors", "model.layers.14.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00008.safetensors", "model.layers.14.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00008.safetensors", "model.layers.14.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.14.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.15.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.15.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.15.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.15.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.16.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.16.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.16.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.16.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.17.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.17.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.17.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.17.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.18.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.18.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.18.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.18.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.19.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.19.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.19.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.19.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.20.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.20.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.20.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.20.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.21.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.21.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.21.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.21.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.22.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.22.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.22.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.22.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.23.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.23.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.23.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.23.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.24.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.24.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.24.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.24.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.25.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.25.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.25.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.25.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.26.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.26.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.26.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.26.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.27.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.27.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.27.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.27.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.28.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.28.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.28.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.28.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.29.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.29.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.29.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.29.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.30.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.30.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.30.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.30.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.31.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.31.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.31.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.31.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.32.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.32.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.32.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.32.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.33.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.33.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.33.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.33.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.34.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.34.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.34.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.34.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00008.safetensors", "model.layers.35.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00008.safetensors", "model.layers.35.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00008.safetensors", "model.layers.35.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00008.safetensors", "model.layers.35.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.36.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00008.safetensors", "model.layers.36.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00008.safetensors", "model.layers.36.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00008.safetensors", "model.layers.36.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.37.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00008.safetensors", "model.layers.37.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00008.safetensors", "model.layers.37.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00008.safetensors", "model.layers.37.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.38.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00008.safetensors", "model.layers.38.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00008.safetensors", "model.layers.38.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00008.safetensors", "model.layers.38.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.39.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00008.safetensors", "model.layers.39.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00008.safetensors", "model.layers.39.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00008.safetensors", "model.layers.39.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.40.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00008.safetensors", "model.layers.40.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00008.safetensors", "model.layers.40.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00008.safetensors", "model.layers.40.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.41.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00008.safetensors", "model.layers.41.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00008.safetensors", "model.layers.41.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00008.safetensors", "model.layers.41.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.42.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00008.safetensors", "model.layers.42.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00008.safetensors", "model.layers.42.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00008.safetensors", "model.layers.42.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.43.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00008.safetensors", "model.layers.43.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00008.safetensors", "model.layers.43.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00008.safetensors", "model.layers.43.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.44.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00008.safetensors", "model.layers.44.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00008.safetensors", "model.layers.44.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00008.safetensors", "model.layers.44.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.45.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00008.safetensors", "model.layers.45.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00008.safetensors", "model.layers.45.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00008.safetensors", "model.layers.45.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.46.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00008.safetensors", "model.layers.46.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00008.safetensors", "model.layers.46.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00008.safetensors", "model.layers.46.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.47.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00008.safetensors", "model.layers.47.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00008.safetensors", "model.layers.47.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00008.safetensors", "model.layers.47.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00008.safetensors", "model.layers.0.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00008.safetensors", "model.layers.0.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00008.safetensors", "model.layers.0.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00008.safetensors", "model.layers.0.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00008.safetensors", "model.layers.1.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00008.safetensors", "model.layers.1.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00008.safetensors", "model.layers.1.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00008.safetensors", "model.layers.1.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00008.safetensors", "model.layers.2.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00008.safetensors", "model.layers.2.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00008.safetensors", "model.layers.2.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00008.safetensors", "model.layers.2.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00008.safetensors", "model.layers.3.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00008.safetensors", "model.layers.3.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00008.safetensors", "model.layers.3.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00008.safetensors", "model.layers.3.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00008.safetensors", "model.layers.4.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00008.safetensors", "model.layers.4.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00008.safetensors", "model.layers.4.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00008.safetensors", "model.layers.4.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00008.safetensors", "model.layers.5.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00008.safetensors", "model.layers.5.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00008.safetensors", "model.layers.5.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00008.safetensors", "model.layers.5.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00008.safetensors", "model.layers.6.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00008.safetensors", "model.layers.6.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00008.safetensors", "model.layers.6.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00008.safetensors", "model.layers.6.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00008.safetensors", "model.layers.7.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00008.safetensors", "model.layers.7.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00008.safetensors", "model.layers.7.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00008.safetensors", "model.layers.7.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00008.safetensors", "model.layers.8.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00008.safetensors", "model.layers.8.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00008.safetensors", "model.layers.8.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00008.safetensors", "model.layers.8.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00008.safetensors", "model.layers.9.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.9.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.9.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.9.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.10.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.10.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.10.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.10.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.11.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.11.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.11.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.11.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.12.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.12.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.12.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.12.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.13.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.13.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.13.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.13.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.14.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.14.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.14.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.14.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.15.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.15.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.15.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.15.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.16.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.16.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.16.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.16.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.17.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.17.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.17.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.17.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.18.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.18.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.18.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.18.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.19.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.19.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.19.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.19.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.20.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.20.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.20.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.20.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.21.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.21.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.21.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.21.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.22.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.22.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.22.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.22.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.23.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.23.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.23.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.23.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.24.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.24.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.24.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.24.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.25.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.25.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.25.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.25.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.26.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.26.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.26.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.26.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.27.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.27.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.27.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.27.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.28.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.28.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.28.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.28.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.29.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.29.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00008.safetensors", "model.layers.29.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00008.safetensors", "model.layers.29.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00008.safetensors", "model.layers.30.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00008.safetensors", "model.layers.30.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.30.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.30.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.31.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.31.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.31.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.31.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.32.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.32.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.32.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.32.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.33.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.33.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.33.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.33.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.34.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.34.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.34.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.34.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.35.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.35.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.35.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.35.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.36.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.36.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.36.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.36.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.37.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.37.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.37.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.37.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.38.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.38.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.38.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.38.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.39.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.39.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.39.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.39.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.40.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.40.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.40.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.40.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.41.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.41.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.41.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.41.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.42.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.42.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.42.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.42.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.43.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.43.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.43.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.43.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.44.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.44.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.44.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.44.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.45.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.45.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.45.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.45.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.46.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.46.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.46.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.46.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.47.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00008.safetensors", "model.layers.47.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00008.safetensors", "model.layers.47.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00008.safetensors", "model.layers.47.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00008.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.2.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.3.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.4.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.5.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.6.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.7.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.8.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.9.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.10.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.11.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.12.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.13.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.14.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.15.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.16.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.17.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.18.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.19.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.20.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.21.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.22.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.23.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.24.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.25.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.26.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.27.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.28.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.29.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.30.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.31.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.32.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.33.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.34.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.35.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.36.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.37.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.38.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.39.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.40.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.41.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.42.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.43.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.44.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.45.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.46.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.47.post_attention_layernorm.weight": "model-00007-of-00008.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.2.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.3.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.4.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.5.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.6.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.7.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.8.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.9.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.10.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.11.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.12.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.13.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.14.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.15.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.16.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.17.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.18.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.19.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.20.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.21.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.22.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.23.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.24.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.25.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.26.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.27.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.28.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.29.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.30.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.31.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.32.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.33.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.34.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.35.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.36.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.37.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.38.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.39.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.40.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.41.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.42.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.43.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.44.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.45.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.46.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.47.self_attn.q_proj.weight": "model-00007-of-00008.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00007-of-00008.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00007-of-00008.safetensors", "model.layers.2.self_attn.k_proj.weight": "model-00007-of-00008.safetensors", "model.layers.3.self_attn.k_proj.weight": "model-00007-of-00008.safetensors", "model.layers.4.self_attn.k_proj.weight": "model-00007-of-00008.safetensors", "model.layers.5.self_attn.k_proj.weight": "model-00007-of-00008.safetensors", "model.layers.6.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.7.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.8.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.9.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.10.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.11.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.12.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.13.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.14.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.15.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.16.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.17.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.18.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.19.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.20.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.21.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.22.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.23.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.24.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.25.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.26.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.27.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.28.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.29.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.30.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.31.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.32.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.33.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.34.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.35.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.36.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.37.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.38.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.39.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.40.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.41.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.42.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.43.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.44.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.45.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.46.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.47.self_attn.k_proj.weight": "model-00008-of-00008.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.2.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.3.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.4.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.5.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.6.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.7.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.8.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.9.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.10.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.11.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.12.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.13.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.14.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.15.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.16.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.17.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.18.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.19.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.20.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.21.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.22.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.23.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.24.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.25.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.26.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.27.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.28.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.29.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.30.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.31.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.32.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.33.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.34.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.35.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.36.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.37.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.38.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.39.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.40.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.41.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.42.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.43.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.44.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.45.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.46.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.47.self_attn.v_proj.weight": "model-00008-of-00008.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.2.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.3.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.4.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.5.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.6.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.7.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.8.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.9.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.10.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.11.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.12.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.13.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.14.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.15.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.16.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.17.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.18.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.19.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.20.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.21.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.22.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.23.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.24.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.25.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.26.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.27.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.28.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.29.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.30.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.31.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.32.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.33.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.34.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.35.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.36.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.37.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.38.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.39.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.40.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.41.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.42.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.43.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.44.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.45.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.46.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.47.self_attn.o_proj.weight": "model-00008-of-00008.safetensors", "model.layers.0.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.1.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.2.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.3.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.4.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.5.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.6.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.7.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.8.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.9.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.10.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.11.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.12.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.13.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.14.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.15.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.16.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.17.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.18.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.19.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.20.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.21.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.22.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.23.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.24.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.25.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.26.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.27.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.28.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.29.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.30.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.31.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.32.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.33.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.34.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.35.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.36.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.37.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.38.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.39.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.40.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.41.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.42.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.43.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.44.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.45.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.46.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors", "model.layers.47.block_sparse_moe.gate.weight": "model-00008-of-00008.safetensors"}}
|
output-00001-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1de8f624fbec37c24e35ebab4b5eaa23d700ad9cf92bb150266498c013185ee5
|
3 |
+
size 8589024472
|
output-00002-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:70b22c8a328083b5a36c12c09294b2f65f4958f347f424133e2d8675d1dcf357
|
3 |
+
size 8584061464
|
output-00003-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9f5d42249d69a0b090c509bdc3c14764880bab311eda10706c1e3f80e3eca894
|
3 |
+
size 1132304160
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{% if message['content']%}{{'### System:\n' + message['content']+'\n\n'}}{% endif %}{% elif message['role'] == 'user' %}{{'### User:\n' + message['content']+'\n\n'}}{% elif message['role'] == 'assistant' %}{{'### Assistant:\n' + message['content']}}{% endif %}{% if loop.last and add_generation_prompt %}{{ '### Assistant:\n' }}{% endif %}{% endfor %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": "<s>",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": true
|
43 |
+
}
|