95 lines
2.9 KiB
Markdown
95 lines
2.9 KiB
Markdown
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---
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language:
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- ko
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library_name: transformers
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pipeline_tag: text-generation
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license: cc-by-nc-4.0
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---
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# **Synatra-7B-Instruct-v0.2**
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Made by StableFluffy
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**Contact (Do not Contact for personal things.)**
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Discord : is.maywell
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Telegram : AlzarTakkarsen
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## License
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This model is strictly [*non-commercial*](https://creativecommons.org/licenses/by-nc/4.0/) (**cc-by-nc-4.0**) use only.
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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-nc-4.0** license in any parent repository, and the non-commercial use statute remains, regardless of other models' licences.
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The licence can be changed after new model released. If you are to use this model for commercial purpose, Contact me.
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## Model Details
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**Base Model**
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[mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
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**Trained On**
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A6000 48GB * 8
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## TODO
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- RP 기반 튜닝 모델 제작
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- 데이터셋 정제
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- 언어 이해능력 개선
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- 상식 보완
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- 토크나이저 변경
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## Instruction format
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In order to leverage instruction fine-tuning, your prompt should be surrounded by `[INST]` and `[/INST]` tokens. The very first instruction should begin with a begin of sentence id. The next instructions should not. The assistant generation will be ended by the end-of-sentence token id.
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E.g.
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```
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text = "<s>[INST] 아이작 뉴턴의 업적을 알려줘. [/INST]"
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```
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# **Model Benchmark**
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## Ko-LLM-Leaderboard
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| Model | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 | Avg
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| --- | --- | --- | --- | --- | --- | ---
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| kyujinpy/KoT-platypus2-13B(No.1 at 2023/10/12) | 43.69 | 53.05 | 42.29 | 43.34 | 65.38 | 49.55
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| Synatra-V0.1-7B-Instruct | 41.72 | 49.28 | 43.27 | 43.75 | 39.32 | 43.47
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| **Synatra-7B-Instruct-v0.2** | **41.81** | **49.35** | **43.99** | **45.77** | **42.96** | **44.78**
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MMLU에서는 우세하나 Ko-CommonGen V2 에서 크게 약한 모습을 보임.
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# **Implementation Code**
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Since, chat_template already contains insturction format above.
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You can use the code below.
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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device = "cuda" # the device to load the model onto
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model = AutoModelForCausalLM.from_pretrained("maywell/Synatra-V0.1-7B")
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tokenizer = AutoTokenizer.from_pretrained("maywell/Synatra-V0.1-7B")
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messages = [
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{"role": "user", "content": "What is your favourite condiment?"},
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]
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encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
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model_inputs = encodeds.to(device)
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model.to(device)
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generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
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decoded = tokenizer.batch_decode(generated_ids)
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print(decoded[0])
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```
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If you run it on oobabooga your prompt would look like this.
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```
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[INST] 링컨에 대해서 알려줘. [/INST]
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```
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> Readme format: [beomi/llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b)
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---
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