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Model: maywell/Synatra-7B-v0.3-dpo Source: Original Platform
2026-06-22 19:19:12 +08:00
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+---
+license: apache-2.0
+---
+
+# **Synatra-7B-v0.3-dpo🐧**  
+![Synatra-7B-v0.3-dpo](./Synatra.png)
+
+## Support Me
+시나트라는 개인 프로젝트로, 1인의 자원으로 개발되고 있습니다. 모델이 마음에 드셨다면 약간의 연구비 지원은 어떨까요?
+[<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**
+
+# **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)를 사용하여 BoolQ, SentiNeg, Wic을 측정했습니다.
+
+| 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": "바나나는 원래 하얀색이야?"},
+]
+
+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])
+```
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_maywell__Synatra-7B-v0.3-dpo)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 53.14   |
+| ARC (25-shot)         | 62.8          |
+| HellaSwag (10-shot)   | 82.58    |
+| MMLU (5-shot)         | 61.46         |
+| TruthfulQA (0-shot)   | 56.46   |
+| Winogrande (5-shot)   | 76.24   |
+| GSM8K (5-shot)        | 23.73        |
+| DROP (3-shot)         | 8.68         |