Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +94 -0
- llama-3-youko-8b-instruct-Q2_K.gguf +3 -0
- llama-3-youko-8b-instruct-Q3_K_L.gguf +3 -0
- llama-3-youko-8b-instruct-Q3_K_M.gguf +3 -0
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- llama-3-youko-8b-instruct-Q4_0.gguf +3 -0
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- llama-3-youko-8b-instruct-Q4_K_S.gguf +3 -0
- llama-3-youko-8b-instruct-Q5_0.gguf +3 -0
- llama-3-youko-8b-instruct-Q5_K_M.gguf +3 -0
- llama-3-youko-8b-instruct-Q5_K_S.gguf +3 -0
- llama-3-youko-8b-instruct-Q6_K.gguf +3 -0
- llama-3-youko-8b-instruct-Q8_0.gguf +3 -0
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llama-3-youko-8b-instruct-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
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| 2 |
+
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
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| 3 |
+
license: llama3
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| 4 |
+
datasets:
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| 5 |
+
- CohereForAI/aya_dataset
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| 6 |
+
- kunishou/databricks-dolly-15k-ja
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| 7 |
+
- kunishou/HelpSteer-35k-ja
|
| 8 |
+
- kunishou/HelpSteer2-20k-ja
|
| 9 |
+
- kunishou/hh-rlhf-49k-ja
|
| 10 |
+
- kunishou/oasst1-chat-44k-ja
|
| 11 |
+
- kunishou/oasst2-chat-68k-ja
|
| 12 |
+
- meta-math/MetaMathQA
|
| 13 |
+
- OpenAssistant/oasst1
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| 14 |
+
- OpenAssistant/oasst2
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| 15 |
+
- sahil2801/CodeAlpaca-20k
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| 16 |
+
language:
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| 17 |
+
- ja
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| 18 |
+
- en
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| 19 |
+
tags:
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| 20 |
+
- llama
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+
- llama-3
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| 22 |
+
- TensorBlock
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| 23 |
+
- GGUF
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| 24 |
+
inference: false
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| 25 |
+
base_model: rinna/llama-3-youko-8b-instruct
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| 26 |
+
base_model_relation: merge
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| 27 |
+
---
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| 28 |
+
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| 29 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
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| 30 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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| 31 |
+
</div>
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| 32 |
+
<div style="display: flex; justify-content: space-between; width: 100%;">
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| 33 |
+
<div style="display: flex; flex-direction: column; align-items: flex-start;">
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| 34 |
+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
| 35 |
+
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>
|
| 36 |
+
</p>
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| 37 |
+
</div>
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| 38 |
+
</div>
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| 39 |
+
|
| 40 |
+
## rinna/llama-3-youko-8b-instruct - GGUF
|
| 41 |
+
|
| 42 |
+
This repo contains GGUF format model files for [rinna/llama-3-youko-8b-instruct](https://huggingface.co/rinna/llama-3-youko-8b-instruct).
|
| 43 |
+
|
| 44 |
+
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).
|
| 45 |
+
|
| 46 |
+
## Prompt template
|
| 47 |
+
|
| 48 |
+
```
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+
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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| 50 |
+
|
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+
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
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| 52 |
+
|
| 53 |
+
{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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| 54 |
+
```
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| 55 |
+
|
| 56 |
+
## Model file specification
|
| 57 |
+
|
| 58 |
+
| Filename | Quant type | File Size | Description |
|
| 59 |
+
| -------- | ---------- | --------- | ----------- |
|
| 60 |
+
| [llama-3-youko-8b-instruct-Q2_K.gguf](https://huggingface.co/tensorblock/llama-3-youko-8b-instruct-GGUF/tree/main/llama-3-youko-8b-instruct-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
|
| 61 |
+
| [llama-3-youko-8b-instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/llama-3-youko-8b-instruct-GGUF/tree/main/llama-3-youko-8b-instruct-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
|
| 62 |
+
| [llama-3-youko-8b-instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/llama-3-youko-8b-instruct-GGUF/tree/main/llama-3-youko-8b-instruct-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
|
| 63 |
+
| [llama-3-youko-8b-instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/llama-3-youko-8b-instruct-GGUF/tree/main/llama-3-youko-8b-instruct-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
|
| 64 |
+
| [llama-3-youko-8b-instruct-Q4_0.gguf](https://huggingface.co/tensorblock/llama-3-youko-8b-instruct-GGUF/tree/main/llama-3-youko-8b-instruct-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
| 65 |
+
| [llama-3-youko-8b-instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/llama-3-youko-8b-instruct-GGUF/tree/main/llama-3-youko-8b-instruct-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
|
| 66 |
+
| [llama-3-youko-8b-instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/llama-3-youko-8b-instruct-GGUF/tree/main/llama-3-youko-8b-instruct-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
|
| 67 |
+
| [llama-3-youko-8b-instruct-Q5_0.gguf](https://huggingface.co/tensorblock/llama-3-youko-8b-instruct-GGUF/tree/main/llama-3-youko-8b-instruct-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
| 68 |
+
| [llama-3-youko-8b-instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/llama-3-youko-8b-instruct-GGUF/tree/main/llama-3-youko-8b-instruct-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
|
| 69 |
+
| [llama-3-youko-8b-instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/llama-3-youko-8b-instruct-GGUF/tree/main/llama-3-youko-8b-instruct-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
|
| 70 |
+
| [llama-3-youko-8b-instruct-Q6_K.gguf](https://huggingface.co/tensorblock/llama-3-youko-8b-instruct-GGUF/tree/main/llama-3-youko-8b-instruct-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
|
| 71 |
+
| [llama-3-youko-8b-instruct-Q8_0.gguf](https://huggingface.co/tensorblock/llama-3-youko-8b-instruct-GGUF/tree/main/llama-3-youko-8b-instruct-Q8_0.gguf) | Q8_0 | 7.954 GB | very large, extremely low quality loss - not recommended |
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
## Downloading instruction
|
| 75 |
+
|
| 76 |
+
### Command line
|
| 77 |
+
|
| 78 |
+
Firstly, install Huggingface Client
|
| 79 |
+
|
| 80 |
+
```shell
|
| 81 |
+
pip install -U "huggingface_hub[cli]"
|
| 82 |
+
```
|
| 83 |
+
|
| 84 |
+
Then, downoad the individual model file the a local directory
|
| 85 |
+
|
| 86 |
+
```shell
|
| 87 |
+
huggingface-cli download tensorblock/llama-3-youko-8b-instruct-GGUF --include "llama-3-youko-8b-instruct-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
| 88 |
+
```
|
| 89 |
+
|
| 90 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
| 91 |
+
|
| 92 |
+
```shell
|
| 93 |
+
huggingface-cli download tensorblock/llama-3-youko-8b-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
| 94 |
+
```
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