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---
license: cc-by-sa-4.0
---
## Exl2 version of [maywell/Synatra-7B-v0.3-dpo](https://huggingface.co/maywell/Synatra-7B-v0.3-dpo)  

## branch  
[main](https://huggingface.co/IHaBiS/Synatra-7B-v0.3-dpo-exl2/tree/main) : 8bpw h8  
[b6h8](https://huggingface.co/IHaBiS/Synatra-7B-v0.3-dpo-exl2/tree/b3.75h8) : 6bpw h8  
[b4h8](https://huggingface.co/IHaBiS/Synatra-7B-v0.3-dpo-exl2/tree/b4h6) : 4bpw h8  


### below this line is original readme  


# **Synatra-7B-v0.3-dpo๐Ÿง**  
![Synatra-7B-v0.3-dpo](./Synatra.png)

## Support Me
์‹œ๋‚˜ํŠธ๋ผ๋Š” ๊ฐœ์ธ ํ”„๋กœ์ ํŠธ๋กœ, 1์ธ์˜ ์ž์›์œผ๋กœ ๊ฐœ๋ฐœ๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋ชจ๋ธ์ด ๋งˆ์Œ์— ๋“œ์…จ๋‹ค๋ฉด ์•ฝ๊ฐ„์˜ ์—ฐ๊ตฌ๋น„ ์ง€์›์€ ์–ด๋–จ๊นŒ์š”?
[<img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy me a Coffee" width="217" height="50">](https://www.buymeacoffee.com/mwell)

Wanna be a sponser? (Please) Contact me on Telegram **AlzarTakkarsen**

# **License**

This model is strictly [*non-commercial*](https://creativecommons.org/licenses/by-sa/4.0/) (**cc-by-sa-4.0**) use, Under **5K MAU**
The "Model" is completely free (ie. base model, derivates, merges/mixes) to use for non-commercial purposes as long as the the included **cc-by-sa-4.0** license in any parent repository, and the non-commercial use statute remains, regardless of other models' licences. 
If your service has over **5K MAU** contact me for license approval.

# **Model Details**
**Base Model**  
[mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)  

**Trained On**  
A100 80GB * 1

**Instruction format**

It follows [ChatML](https://github.com/openai/openai-python/blob/main/chatml.md) format and **Alpaca(No-Input)** format.

# **Model Benchmark**

## KOBEST_BOOLQ, SENTINEG, WIC - ZERO_SHOT
[EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness/tree/polyglot)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ BoolQ, SentiNeg, Wic์„ ์ธก์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.

| Model | COPA | HellaSwag | BoolQ | SentiNeg
| --- | --- | --- | --- | ---
| EleutherAI/polyglot-ko-12.8b | 0.7937 | 0.5954 | 0.4818 | 0.9117
| Synatra-7B-v0.3-base | 0.6344 | 0.5140 | 0.5226 | NaN
| **Synatra-7B-v0.3-dpo** | **0.6380** | **0.4780** | **0.8058** | **0.8942**

## Ko-LLM-Leaderboard

On Benchmarking...

# **Implementation Code**

Since, chat_template already contains insturction format above.
You can use the code below.

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

device = "cuda" # the device to load the model onto

model = AutoModelForCausalLM.from_pretrained("maywell/Synatra-7B-v0.3-dpo")
tokenizer = AutoTokenizer.from_pretrained("maywell/Synatra-7B-v0.3-dpo")

messages = [
    {"role": "user", "content": "๋ฐ”๋‚˜๋‚˜๋Š” ์›๋ž˜ ํ•˜์–€์ƒ‰์ด์•ผ?"},
]

encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")

model_inputs = encodeds.to(device)
model.to(device)

generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
decoded = tokenizer.batch_decode(generated_ids)
print(decoded[0])
```