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- Llama-3.1-8B-MultiReflection-Instruct-Q2_K.gguf +3 -0
- Llama-3.1-8B-MultiReflection-Instruct-Q3_K_L.gguf +3 -0
- Llama-3.1-8B-MultiReflection-Instruct-Q3_K_M.gguf +3 -0
- Llama-3.1-8B-MultiReflection-Instruct-Q3_K_S.gguf +3 -0
- Llama-3.1-8B-MultiReflection-Instruct-Q4_0.gguf +3 -0
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- Llama-3.1-8B-MultiReflection-Instruct-Q6_K.gguf +3 -0
- Llama-3.1-8B-MultiReflection-Instruct-Q8_0.gguf +3 -0
- README.md +191 -0
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README.md
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1 |
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---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
- de
|
5 |
+
- fr
|
6 |
+
- it
|
7 |
+
- pt
|
8 |
+
- hi
|
9 |
+
- es
|
10 |
+
- th
|
11 |
+
license: llama3.1
|
12 |
+
library_name: transformers
|
13 |
+
tags:
|
14 |
+
- reflection
|
15 |
+
- unsloth
|
16 |
+
- peft
|
17 |
+
- llama
|
18 |
+
- TensorBlock
|
19 |
+
- GGUF
|
20 |
+
base_model: leafspark/Llama-3.1-8B-MultiReflection-Instruct
|
21 |
+
datasets:
|
22 |
+
- leafspark/DetailedReflection-Claude-v3_5-Sonnet
|
23 |
+
metrics:
|
24 |
+
- accuracy
|
25 |
+
pipeline_tag: text-generation
|
26 |
+
model-index:
|
27 |
+
- name: Llama-3.1-8B-MultiReflection-Instruct
|
28 |
+
results:
|
29 |
+
- task:
|
30 |
+
type: text-generation
|
31 |
+
name: Text Generation
|
32 |
+
dataset:
|
33 |
+
name: IFEval (0-Shot)
|
34 |
+
type: HuggingFaceH4/ifeval
|
35 |
+
args:
|
36 |
+
num_few_shot: 0
|
37 |
+
metrics:
|
38 |
+
- type: inst_level_strict_acc and prompt_level_strict_acc
|
39 |
+
value: 71.25
|
40 |
+
name: strict accuracy
|
41 |
+
source:
|
42 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=leafspark/Llama-3.1-8B-MultiReflection-Instruct
|
43 |
+
name: Open LLM Leaderboard
|
44 |
+
- task:
|
45 |
+
type: text-generation
|
46 |
+
name: Text Generation
|
47 |
+
dataset:
|
48 |
+
name: BBH (3-Shot)
|
49 |
+
type: BBH
|
50 |
+
args:
|
51 |
+
num_few_shot: 3
|
52 |
+
metrics:
|
53 |
+
- type: acc_norm
|
54 |
+
value: 28.45
|
55 |
+
name: normalized accuracy
|
56 |
+
source:
|
57 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=leafspark/Llama-3.1-8B-MultiReflection-Instruct
|
58 |
+
name: Open LLM Leaderboard
|
59 |
+
- task:
|
60 |
+
type: text-generation
|
61 |
+
name: Text Generation
|
62 |
+
dataset:
|
63 |
+
name: MATH Lvl 5 (4-Shot)
|
64 |
+
type: hendrycks/competition_math
|
65 |
+
args:
|
66 |
+
num_few_shot: 4
|
67 |
+
metrics:
|
68 |
+
- type: exact_match
|
69 |
+
value: 12.54
|
70 |
+
name: exact match
|
71 |
+
source:
|
72 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=leafspark/Llama-3.1-8B-MultiReflection-Instruct
|
73 |
+
name: Open LLM Leaderboard
|
74 |
+
- task:
|
75 |
+
type: text-generation
|
76 |
+
name: Text Generation
|
77 |
+
dataset:
|
78 |
+
name: GPQA (0-shot)
|
79 |
+
type: Idavidrein/gpqa
|
80 |
+
args:
|
81 |
+
num_few_shot: 0
|
82 |
+
metrics:
|
83 |
+
- type: acc_norm
|
84 |
+
value: 5.7
|
85 |
+
name: acc_norm
|
86 |
+
source:
|
87 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=leafspark/Llama-3.1-8B-MultiReflection-Instruct
|
88 |
+
name: Open LLM Leaderboard
|
89 |
+
- task:
|
90 |
+
type: text-generation
|
91 |
+
name: Text Generation
|
92 |
+
dataset:
|
93 |
+
name: MuSR (0-shot)
|
94 |
+
type: TAUR-Lab/MuSR
|
95 |
+
args:
|
96 |
+
num_few_shot: 0
|
97 |
+
metrics:
|
98 |
+
- type: acc_norm
|
99 |
+
value: 8.52
|
100 |
+
name: acc_norm
|
101 |
+
source:
|
102 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=leafspark/Llama-3.1-8B-MultiReflection-Instruct
|
103 |
+
name: Open LLM Leaderboard
|
104 |
+
- task:
|
105 |
+
type: text-generation
|
106 |
+
name: Text Generation
|
107 |
+
dataset:
|
108 |
+
name: MMLU-PRO (5-shot)
|
109 |
+
type: TIGER-Lab/MMLU-Pro
|
110 |
+
config: main
|
111 |
+
split: test
|
112 |
+
args:
|
113 |
+
num_few_shot: 5
|
114 |
+
metrics:
|
115 |
+
- type: acc
|
116 |
+
value: 30.27
|
117 |
+
name: accuracy
|
118 |
+
source:
|
119 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=leafspark/Llama-3.1-8B-MultiReflection-Instruct
|
120 |
+
name: Open LLM Leaderboard
|
121 |
+
---
|
122 |
+
|
123 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
124 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
125 |
+
</div>
|
126 |
+
<div style="display: flex; justify-content: space-between; width: 100%;">
|
127 |
+
<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
128 |
+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
129 |
+
Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
|
130 |
+
</p>
|
131 |
+
</div>
|
132 |
+
</div>
|
133 |
+
|
134 |
+
## leafspark/Llama-3.1-8B-MultiReflection-Instruct - GGUF
|
135 |
+
|
136 |
+
This repo contains GGUF format model files for [leafspark/Llama-3.1-8B-MultiReflection-Instruct](https://huggingface.co/leafspark/Llama-3.1-8B-MultiReflection-Instruct).
|
137 |
+
|
138 |
+
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
|
139 |
+
|
140 |
+
## Prompt template
|
141 |
+
|
142 |
+
```
|
143 |
+
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
|
144 |
+
|
145 |
+
Cutting Knowledge Date: December 2023
|
146 |
+
Today Date: 26 Jul 2024
|
147 |
+
|
148 |
+
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
|
149 |
+
|
150 |
+
{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
151 |
+
```
|
152 |
+
|
153 |
+
## Model file specification
|
154 |
+
|
155 |
+
| Filename | Quant type | File Size | Description |
|
156 |
+
| -------- | ---------- | --------- | ----------- |
|
157 |
+
| [Llama-3.1-8B-MultiReflection-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF/tree/main/Llama-3.1-8B-MultiReflection-Instruct-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
|
158 |
+
| [Llama-3.1-8B-MultiReflection-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF/tree/main/Llama-3.1-8B-MultiReflection-Instruct-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
|
159 |
+
| [Llama-3.1-8B-MultiReflection-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF/tree/main/Llama-3.1-8B-MultiReflection-Instruct-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
|
160 |
+
| [Llama-3.1-8B-MultiReflection-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF/tree/main/Llama-3.1-8B-MultiReflection-Instruct-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
|
161 |
+
| [Llama-3.1-8B-MultiReflection-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF/tree/main/Llama-3.1-8B-MultiReflection-Instruct-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
162 |
+
| [Llama-3.1-8B-MultiReflection-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF/tree/main/Llama-3.1-8B-MultiReflection-Instruct-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
|
163 |
+
| [Llama-3.1-8B-MultiReflection-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF/tree/main/Llama-3.1-8B-MultiReflection-Instruct-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
|
164 |
+
| [Llama-3.1-8B-MultiReflection-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF/tree/main/Llama-3.1-8B-MultiReflection-Instruct-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
165 |
+
| [Llama-3.1-8B-MultiReflection-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF/tree/main/Llama-3.1-8B-MultiReflection-Instruct-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
|
166 |
+
| [Llama-3.1-8B-MultiReflection-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF/tree/main/Llama-3.1-8B-MultiReflection-Instruct-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
|
167 |
+
| [Llama-3.1-8B-MultiReflection-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF/tree/main/Llama-3.1-8B-MultiReflection-Instruct-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
|
168 |
+
| [Llama-3.1-8B-MultiReflection-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF/tree/main/Llama-3.1-8B-MultiReflection-Instruct-Q8_0.gguf) | Q8_0 | 7.954 GB | very large, extremely low quality loss - not recommended |
|
169 |
+
|
170 |
+
|
171 |
+
## Downloading instruction
|
172 |
+
|
173 |
+
### Command line
|
174 |
+
|
175 |
+
Firstly, install Huggingface Client
|
176 |
+
|
177 |
+
```shell
|
178 |
+
pip install -U "huggingface_hub[cli]"
|
179 |
+
```
|
180 |
+
|
181 |
+
Then, downoad the individual model file the a local directory
|
182 |
+
|
183 |
+
```shell
|
184 |
+
huggingface-cli download tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF --include "Llama-3.1-8B-MultiReflection-Instruct-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
185 |
+
```
|
186 |
+
|
187 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
188 |
+
|
189 |
+
```shell
|
190 |
+
huggingface-cli download tensorblock/Llama-3.1-8B-MultiReflection-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
191 |
+
```
|