|
--- |
|
language: |
|
- ja |
|
- en |
|
license: llama2 |
|
datasets: |
|
- mc4 |
|
- wikipedia |
|
- EleutherAI/pile |
|
- oscar-corpus/colossal-oscar-1.0 |
|
- cc100 |
|
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png |
|
inference: false |
|
base_model: rinna/youri-7b |
|
tags: |
|
- TensorBlock |
|
- GGUF |
|
model-index: |
|
- name: youri-7b |
|
results: |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: AI2 Reasoning Challenge (25-Shot) |
|
type: ai2_arc |
|
config: ARC-Challenge |
|
split: test |
|
args: |
|
num_few_shot: 25 |
|
metrics: |
|
- type: acc_norm |
|
value: 49.06 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/youri-7b |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: HellaSwag (10-Shot) |
|
type: hellaswag |
|
split: validation |
|
args: |
|
num_few_shot: 10 |
|
metrics: |
|
- type: acc_norm |
|
value: 74.89 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/youri-7b |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: MMLU (5-Shot) |
|
type: cais/mmlu |
|
config: all |
|
split: test |
|
args: |
|
num_few_shot: 5 |
|
metrics: |
|
- type: acc |
|
value: 42.22 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/youri-7b |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: TruthfulQA (0-shot) |
|
type: truthful_qa |
|
config: multiple_choice |
|
split: validation |
|
args: |
|
num_few_shot: 0 |
|
metrics: |
|
- type: mc2 |
|
value: 36.03 |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/youri-7b |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: Winogrande (5-shot) |
|
type: winogrande |
|
config: winogrande_xl |
|
split: validation |
|
args: |
|
num_few_shot: 5 |
|
metrics: |
|
- type: acc |
|
value: 71.82 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/youri-7b |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: GSM8k (5-shot) |
|
type: gsm8k |
|
config: main |
|
split: test |
|
args: |
|
num_few_shot: 5 |
|
metrics: |
|
- type: acc |
|
value: 8.64 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/youri-7b |
|
name: Open LLM Leaderboard |
|
--- |
|
|
|
<div style="width: auto; margin-left: auto; margin-right: auto"> |
|
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
|
</div> |
|
<div style="display: flex; justify-content: space-between; width: 100%;"> |
|
<div style="display: flex; flex-direction: column; align-items: flex-start;"> |
|
<p style="margin-top: 0.5em; margin-bottom: 0em;"> |
|
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> |
|
</p> |
|
</div> |
|
</div> |
|
|
|
## rinna/youri-7b - GGUF |
|
|
|
This repo contains GGUF format model files for [rinna/youri-7b](https://huggingface.co/rinna/youri-7b). |
|
|
|
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). |
|
|
|
## Prompt template |
|
|
|
``` |
|
|
|
``` |
|
|
|
## Model file specification |
|
|
|
| Filename | Quant type | File Size | Description | |
|
| -------- | ---------- | --------- | ----------- | |
|
| [youri-7b-Q2_K.gguf](https://huggingface.co/tensorblock/youri-7b-GGUF/tree/main/youri-7b-Q2_K.gguf) | Q2_K | 2.359 GB | smallest, significant quality loss - not recommended for most purposes | |
|
| [youri-7b-Q3_K_S.gguf](https://huggingface.co/tensorblock/youri-7b-GGUF/tree/main/youri-7b-Q3_K_S.gguf) | Q3_K_S | 2.746 GB | very small, high quality loss | |
|
| [youri-7b-Q3_K_M.gguf](https://huggingface.co/tensorblock/youri-7b-GGUF/tree/main/youri-7b-Q3_K_M.gguf) | Q3_K_M | 3.072 GB | very small, high quality loss | |
|
| [youri-7b-Q3_K_L.gguf](https://huggingface.co/tensorblock/youri-7b-GGUF/tree/main/youri-7b-Q3_K_L.gguf) | Q3_K_L | 3.350 GB | small, substantial quality loss | |
|
| [youri-7b-Q4_0.gguf](https://huggingface.co/tensorblock/youri-7b-GGUF/tree/main/youri-7b-Q4_0.gguf) | Q4_0 | 3.563 GB | legacy; small, very high quality loss - prefer using Q3_K_M | |
|
| [youri-7b-Q4_K_S.gguf](https://huggingface.co/tensorblock/youri-7b-GGUF/tree/main/youri-7b-Q4_K_S.gguf) | Q4_K_S | 3.592 GB | small, greater quality loss | |
|
| [youri-7b-Q4_K_M.gguf](https://huggingface.co/tensorblock/youri-7b-GGUF/tree/main/youri-7b-Q4_K_M.gguf) | Q4_K_M | 3.801 GB | medium, balanced quality - recommended | |
|
| [youri-7b-Q5_0.gguf](https://huggingface.co/tensorblock/youri-7b-GGUF/tree/main/youri-7b-Q5_0.gguf) | Q5_0 | 4.332 GB | legacy; medium, balanced quality - prefer using Q4_K_M | |
|
| [youri-7b-Q5_K_S.gguf](https://huggingface.co/tensorblock/youri-7b-GGUF/tree/main/youri-7b-Q5_K_S.gguf) | Q5_K_S | 4.332 GB | large, low quality loss - recommended | |
|
| [youri-7b-Q5_K_M.gguf](https://huggingface.co/tensorblock/youri-7b-GGUF/tree/main/youri-7b-Q5_K_M.gguf) | Q5_K_M | 4.455 GB | large, very low quality loss - recommended | |
|
| [youri-7b-Q6_K.gguf](https://huggingface.co/tensorblock/youri-7b-GGUF/tree/main/youri-7b-Q6_K.gguf) | Q6_K | 5.149 GB | very large, extremely low quality loss | |
|
| [youri-7b-Q8_0.gguf](https://huggingface.co/tensorblock/youri-7b-GGUF/tree/main/youri-7b-Q8_0.gguf) | Q8_0 | 6.669 GB | very large, extremely low quality loss - not recommended | |
|
|
|
|
|
## Downloading instruction |
|
|
|
### Command line |
|
|
|
Firstly, install Huggingface Client |
|
|
|
```shell |
|
pip install -U "huggingface_hub[cli]" |
|
``` |
|
|
|
Then, downoad the individual model file the a local directory |
|
|
|
```shell |
|
huggingface-cli download tensorblock/youri-7b-GGUF --include "youri-7b-Q2_K.gguf" --local-dir MY_LOCAL_DIR |
|
``` |
|
|
|
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try: |
|
|
|
```shell |
|
huggingface-cli download tensorblock/youri-7b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' |
|
``` |
|
|
