Steelskull
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Browse files- README.md +83 -1
- config.json +29 -0
- mergekit_config.yml +25 -0
- model-00001-of-00012.safetensors +3 -0
- model-00002-of-00012.safetensors +3 -0
- model-00003-of-00012.safetensors +3 -0
- model-00004-of-00012.safetensors +3 -0
- model-00005-of-00012.safetensors +3 -0
- model-00006-of-00012.safetensors +3 -0
- model-00007-of-00012.safetensors +3 -0
- model-00008-of-00012.safetensors +3 -0
- model-00009-of-00012.safetensors +3 -0
- model-00010-of-00012.safetensors +3 -0
- model-00011-of-00012.safetensors +3 -0
- model-00012-of-00012.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +59 -0
README.md
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---
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---
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---
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tags:
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- merge
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- mergekit
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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base_model:
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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---
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# VA-Etheria-55b
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VA-Etheria-55b is a merge of the following models using
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* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
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## 🧩 Configuration
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```yaml
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dtype: bfloat16
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slices:
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [0, 14]
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [7, 21]
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [15, 29]
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [22, 36]
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [30, 44]
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [37, 51]
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [45, 59]
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merge_method: passthrough
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "steelskull/VA-Etheria-55b"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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config.json
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{
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"_name_or_path": "brucethemoose/Yi-34B-200K-DARE-megamerge-v8",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 7168,
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"initializer_range": 0.02,
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"intermediate_size": 20480,
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"max_position_embeddings": 200000,
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"model_type": "llama",
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"num_attention_heads": 56,
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"num_hidden_layers": 98,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 5000000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.1",
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"use_cache": true,
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"vocab_size": 64002
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}
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mergekit_config.yml
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dtype: bfloat16
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slices:
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [0, 14]
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [7, 21]
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [15, 29]
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [22, 36]
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [30, 44]
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [37, 51]
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- sources:
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- model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
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layer_range: [45, 59]
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merge_method: passthrough
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model-00001-of-00012.safetensors
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"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<unk>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
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tokenizer_config.json
ADDED
@@ -0,0 +1,59 @@
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|
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": "<|startoftext|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "<|endoftext|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"64000": {
|
30 |
+
"content": "<s>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": false
|
36 |
+
},
|
37 |
+
"64001": {
|
38 |
+
"content": "</s>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": false
|
44 |
+
}
|
45 |
+
},
|
46 |
+
"bos_token": "<|startoftext|>",
|
47 |
+
"clean_up_tokenization_spaces": false,
|
48 |
+
"eos_token": "<|endoftext|>",
|
49 |
+
"legacy": false,
|
50 |
+
"model_max_length": 200000,
|
51 |
+
"pad_token": "<unk>",
|
52 |
+
"padding_side": "right",
|
53 |
+
"sp_model_kwargs": {},
|
54 |
+
"spaces_between_special_tokens": false,
|
55 |
+
"tokenizer_class": "LlamaTokenizer",
|
56 |
+
"truncation_side": "right",
|
57 |
+
"unk_token": "<unk>",
|
58 |
+
"use_default_system_prompt": false
|
59 |
+
}
|