Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +118 -0
- neural-chat-7b-v3-2-Q2_K.gguf +3 -0
- neural-chat-7b-v3-2-Q3_K_L.gguf +3 -0
- neural-chat-7b-v3-2-Q3_K_M.gguf +3 -0
- neural-chat-7b-v3-2-Q3_K_S.gguf +3 -0
- neural-chat-7b-v3-2-Q4_0.gguf +3 -0
- neural-chat-7b-v3-2-Q4_K_M.gguf +3 -0
- neural-chat-7b-v3-2-Q4_K_S.gguf +3 -0
- neural-chat-7b-v3-2-Q5_0.gguf +3 -0
- neural-chat-7b-v3-2-Q5_K_M.gguf +3 -0
- neural-chat-7b-v3-2-Q5_K_S.gguf +3 -0
- neural-chat-7b-v3-2-Q6_K.gguf +3 -0
- neural-chat-7b-v3-2-Q8_0.gguf +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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neural-chat-7b-v3-2-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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neural-chat-7b-v3-2-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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neural-chat-7b-v3-2-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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neural-chat-7b-v3-2-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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1 |
+
---
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+
license: apache-2.0
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tags:
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+
- LLMs
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+
- mistral
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+
- math
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+
- Intel
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+
- TensorBlock
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+
- GGUF
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+
datasets:
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+
- meta-math/MetaMathQA
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+
language:
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- en
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+
base_model: Intel/neural-chat-7b-v3-2
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+
model-index:
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+
- name: neural-chat-7b-v3-2
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+
results:
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+
- task:
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type: Large Language Model
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+
name: Large Language Model
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+
dataset:
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name: meta-math/MetaMathQA
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+
type: meta-math/MetaMathQA
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+
metrics:
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25 |
+
- type: ARC (25-shot)
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+
value: 67.49
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27 |
+
name: ARC (25-shot)
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+
verified: true
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29 |
+
- type: HellaSwag (10-shot)
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+
value: 83.92
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+
name: HellaSwag (10-shot)
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+
verified: true
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+
- type: MMLU (5-shot)
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+
value: 63.55
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+
name: MMLU (5-shot)
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+
verified: true
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+
- type: TruthfulQA (0-shot)
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+
value: 59.68
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+
name: TruthfulQA (0-shot)
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+
verified: true
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+
- type: Winogrande (5-shot)
|
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+
value: 79.95
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43 |
+
name: Winogrande (5-shot)
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+
verified: true
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+
- type: GSM8K (5-shot)
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+
value: 55.12
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+
name: GSM8K (5-shot)
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+
verified: true
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+
---
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50 |
+
|
51 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
52 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
53 |
+
</div>
|
54 |
+
<div style="display: flex; justify-content: space-between; width: 100%;">
|
55 |
+
<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
56 |
+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
57 |
+
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>
|
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+
</p>
|
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+
</div>
|
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+
</div>
|
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+
|
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+
## Intel/neural-chat-7b-v3-2 - GGUF
|
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+
|
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+
This repo contains GGUF format model files for [Intel/neural-chat-7b-v3-2](https://huggingface.co/Intel/neural-chat-7b-v3-2).
|
65 |
+
|
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+
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
|
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+
|
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+
<div style="text-align: left; margin: 20px 0;">
|
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+
<a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
|
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+
Run them on the TensorBlock client using your local machine ↗
|
71 |
+
</a>
|
72 |
+
</div>
|
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+
|
74 |
+
## Prompt template
|
75 |
+
|
76 |
+
```
|
77 |
+
|
78 |
+
```
|
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+
|
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## Model file specification
|
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+
|
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+
| Filename | Quant type | File Size | Description |
|
83 |
+
| -------- | ---------- | --------- | ----------- |
|
84 |
+
| [neural-chat-7b-v3-2-Q2_K.gguf](https://huggingface.co/tensorblock/neural-chat-7b-v3-2-GGUF/blob/main/neural-chat-7b-v3-2-Q2_K.gguf) | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
|
85 |
+
| [neural-chat-7b-v3-2-Q3_K_S.gguf](https://huggingface.co/tensorblock/neural-chat-7b-v3-2-GGUF/blob/main/neural-chat-7b-v3-2-Q3_K_S.gguf) | Q3_K_S | 3.165 GB | very small, high quality loss |
|
86 |
+
| [neural-chat-7b-v3-2-Q3_K_M.gguf](https://huggingface.co/tensorblock/neural-chat-7b-v3-2-GGUF/blob/main/neural-chat-7b-v3-2-Q3_K_M.gguf) | Q3_K_M | 3.519 GB | very small, high quality loss |
|
87 |
+
| [neural-chat-7b-v3-2-Q3_K_L.gguf](https://huggingface.co/tensorblock/neural-chat-7b-v3-2-GGUF/blob/main/neural-chat-7b-v3-2-Q3_K_L.gguf) | Q3_K_L | 3.822 GB | small, substantial quality loss |
|
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+
| [neural-chat-7b-v3-2-Q4_0.gguf](https://huggingface.co/tensorblock/neural-chat-7b-v3-2-GGUF/blob/main/neural-chat-7b-v3-2-Q4_0.gguf) | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
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+
| [neural-chat-7b-v3-2-Q4_K_S.gguf](https://huggingface.co/tensorblock/neural-chat-7b-v3-2-GGUF/blob/main/neural-chat-7b-v3-2-Q4_K_S.gguf) | Q4_K_S | 4.140 GB | small, greater quality loss |
|
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+
| [neural-chat-7b-v3-2-Q4_K_M.gguf](https://huggingface.co/tensorblock/neural-chat-7b-v3-2-GGUF/blob/main/neural-chat-7b-v3-2-Q4_K_M.gguf) | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
|
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+
| [neural-chat-7b-v3-2-Q5_0.gguf](https://huggingface.co/tensorblock/neural-chat-7b-v3-2-GGUF/blob/main/neural-chat-7b-v3-2-Q5_0.gguf) | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
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+
| [neural-chat-7b-v3-2-Q5_K_S.gguf](https://huggingface.co/tensorblock/neural-chat-7b-v3-2-GGUF/blob/main/neural-chat-7b-v3-2-Q5_K_S.gguf) | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
|
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+
| [neural-chat-7b-v3-2-Q5_K_M.gguf](https://huggingface.co/tensorblock/neural-chat-7b-v3-2-GGUF/blob/main/neural-chat-7b-v3-2-Q5_K_M.gguf) | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
|
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+
| [neural-chat-7b-v3-2-Q6_K.gguf](https://huggingface.co/tensorblock/neural-chat-7b-v3-2-GGUF/blob/main/neural-chat-7b-v3-2-Q6_K.gguf) | Q6_K | 5.942 GB | very large, extremely low quality loss |
|
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+
| [neural-chat-7b-v3-2-Q8_0.gguf](https://huggingface.co/tensorblock/neural-chat-7b-v3-2-GGUF/blob/main/neural-chat-7b-v3-2-Q8_0.gguf) | Q8_0 | 7.696 GB | very large, extremely low quality loss - not recommended |
|
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+
|
97 |
+
|
98 |
+
## Downloading instruction
|
99 |
+
|
100 |
+
### Command line
|
101 |
+
|
102 |
+
Firstly, install Huggingface Client
|
103 |
+
|
104 |
+
```shell
|
105 |
+
pip install -U "huggingface_hub[cli]"
|
106 |
+
```
|
107 |
+
|
108 |
+
Then, downoad the individual model file the a local directory
|
109 |
+
|
110 |
+
```shell
|
111 |
+
huggingface-cli download tensorblock/neural-chat-7b-v3-2-GGUF --include "neural-chat-7b-v3-2-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
112 |
+
```
|
113 |
+
|
114 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
115 |
+
|
116 |
+
```shell
|
117 |
+
huggingface-cli download tensorblock/neural-chat-7b-v3-2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
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+
```
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neural-chat-7b-v3-2-Q2_K.gguf
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