Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +86 -0
- Swallow-MS-7b-instruct-v0.1-Q2_K.gguf +3 -0
- Swallow-MS-7b-instruct-v0.1-Q3_K_L.gguf +3 -0
- Swallow-MS-7b-instruct-v0.1-Q3_K_M.gguf +3 -0
- Swallow-MS-7b-instruct-v0.1-Q3_K_S.gguf +3 -0
- Swallow-MS-7b-instruct-v0.1-Q4_0.gguf +3 -0
- Swallow-MS-7b-instruct-v0.1-Q4_K_M.gguf +3 -0
- Swallow-MS-7b-instruct-v0.1-Q4_K_S.gguf +3 -0
- Swallow-MS-7b-instruct-v0.1-Q5_0.gguf +3 -0
- Swallow-MS-7b-instruct-v0.1-Q5_K_M.gguf +3 -0
- Swallow-MS-7b-instruct-v0.1-Q5_K_S.gguf +3 -0
- Swallow-MS-7b-instruct-v0.1-Q6_K.gguf +3 -0
- Swallow-MS-7b-instruct-v0.1-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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Swallow-MS-7b-instruct-v0.1-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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Swallow-MS-7b-instruct-v0.1-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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Swallow-MS-7b-instruct-v0.1-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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Swallow-MS-7b-instruct-v0.1-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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Swallow-MS-7b-instruct-v0.1-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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Swallow-MS-7b-instruct-v0.1-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
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| 2 |
+
language:
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| 3 |
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- en
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| 4 |
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- ja
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| 5 |
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library_name: transformers
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| 6 |
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pipeline_tag: text-generation
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| 7 |
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model_type: mistral
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license: apache-2.0
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base_model: tokyotech-llm/Swallow-MS-7b-instruct-v0.1
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tags:
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- TensorBlock
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- GGUF
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| 13 |
+
---
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| 14 |
+
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| 15 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
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| 16 |
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<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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| 17 |
+
</div>
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| 18 |
+
<div style="display: flex; justify-content: space-between; width: 100%;">
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| 19 |
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<div style="display: flex; flex-direction: column; align-items: flex-start;">
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<p style="margin-top: 0.5em; margin-bottom: 0em;">
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| 21 |
+
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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| 22 |
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</p>
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| 23 |
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</div>
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</div>
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## tokyotech-llm/Swallow-MS-7b-instruct-v0.1 - GGUF
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This repo contains GGUF format model files for [tokyotech-llm/Swallow-MS-7b-instruct-v0.1](https://huggingface.co/tokyotech-llm/Swallow-MS-7b-instruct-v0.1).
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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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| 31 |
+
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| 32 |
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<div style="text-align: left; margin: 20px 0;">
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| 33 |
+
<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 ↗
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</a>
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| 36 |
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</div>
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| 37 |
+
|
| 38 |
+
## Prompt template
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| 39 |
+
|
| 40 |
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```
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+
<s>[INST] <<SYS>>
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{system_prompt}
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<</SYS>>
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{prompt} [/INST]
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```
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| 47 |
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## Model file specification
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| 49 |
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| 50 |
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| Filename | Quant type | File Size | Description |
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| 51 |
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| -------- | ---------- | --------- | ----------- |
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| 52 |
+
| [Swallow-MS-7b-instruct-v0.1-Q2_K.gguf](https://huggingface.co/tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF/blob/main/Swallow-MS-7b-instruct-v0.1-Q2_K.gguf) | Q2_K | 2.770 GB | smallest, significant quality loss - not recommended for most purposes |
|
| 53 |
+
| [Swallow-MS-7b-instruct-v0.1-Q3_K_S.gguf](https://huggingface.co/tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF/blob/main/Swallow-MS-7b-instruct-v0.1-Q3_K_S.gguf) | Q3_K_S | 3.220 GB | very small, high quality loss |
|
| 54 |
+
| [Swallow-MS-7b-instruct-v0.1-Q3_K_M.gguf](https://huggingface.co/tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF/blob/main/Swallow-MS-7b-instruct-v0.1-Q3_K_M.gguf) | Q3_K_M | 3.575 GB | very small, high quality loss |
|
| 55 |
+
| [Swallow-MS-7b-instruct-v0.1-Q3_K_L.gguf](https://huggingface.co/tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF/blob/main/Swallow-MS-7b-instruct-v0.1-Q3_K_L.gguf) | Q3_K_L | 3.878 GB | small, substantial quality loss |
|
| 56 |
+
| [Swallow-MS-7b-instruct-v0.1-Q4_0.gguf](https://huggingface.co/tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF/blob/main/Swallow-MS-7b-instruct-v0.1-Q4_0.gguf) | Q4_0 | 4.170 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
| 57 |
+
| [Swallow-MS-7b-instruct-v0.1-Q4_K_S.gguf](https://huggingface.co/tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF/blob/main/Swallow-MS-7b-instruct-v0.1-Q4_K_S.gguf) | Q4_K_S | 4.202 GB | small, greater quality loss |
|
| 58 |
+
| [Swallow-MS-7b-instruct-v0.1-Q4_K_M.gguf](https://huggingface.co/tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF/blob/main/Swallow-MS-7b-instruct-v0.1-Q4_K_M.gguf) | Q4_K_M | 4.430 GB | medium, balanced quality - recommended |
|
| 59 |
+
| [Swallow-MS-7b-instruct-v0.1-Q5_0.gguf](https://huggingface.co/tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF/blob/main/Swallow-MS-7b-instruct-v0.1-Q5_0.gguf) | Q5_0 | 5.065 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
| 60 |
+
| [Swallow-MS-7b-instruct-v0.1-Q5_K_S.gguf](https://huggingface.co/tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF/blob/main/Swallow-MS-7b-instruct-v0.1-Q5_K_S.gguf) | Q5_K_S | 5.065 GB | large, low quality loss - recommended |
|
| 61 |
+
| [Swallow-MS-7b-instruct-v0.1-Q5_K_M.gguf](https://huggingface.co/tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF/blob/main/Swallow-MS-7b-instruct-v0.1-Q5_K_M.gguf) | Q5_K_M | 5.198 GB | large, very low quality loss - recommended |
|
| 62 |
+
| [Swallow-MS-7b-instruct-v0.1-Q6_K.gguf](https://huggingface.co/tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF/blob/main/Swallow-MS-7b-instruct-v0.1-Q6_K.gguf) | Q6_K | 6.015 GB | very large, extremely low quality loss |
|
| 63 |
+
| [Swallow-MS-7b-instruct-v0.1-Q8_0.gguf](https://huggingface.co/tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF/blob/main/Swallow-MS-7b-instruct-v0.1-Q8_0.gguf) | Q8_0 | 7.790 GB | very large, extremely low quality loss - not recommended |
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
## Downloading instruction
|
| 67 |
+
|
| 68 |
+
### Command line
|
| 69 |
+
|
| 70 |
+
Firstly, install Huggingface Client
|
| 71 |
+
|
| 72 |
+
```shell
|
| 73 |
+
pip install -U "huggingface_hub[cli]"
|
| 74 |
+
```
|
| 75 |
+
|
| 76 |
+
Then, downoad the individual model file the a local directory
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| 77 |
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|
| 78 |
+
```shell
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| 79 |
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huggingface-cli download tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF --include "Swallow-MS-7b-instruct-v0.1-Q2_K.gguf" --local-dir MY_LOCAL_DIR
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| 80 |
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```
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| 81 |
+
|
| 82 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
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| 83 |
+
|
| 84 |
+
```shell
|
| 85 |
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huggingface-cli download tensorblock/Swallow-MS-7b-instruct-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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| 86 |
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```
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