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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 κΈ°λ° νλ λͺ¨λΈ μ μ |
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- λ°μ΄ν°μ
μ μ |
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- μΈμ΄ μ΄ν΄λ₯λ ₯ κ°μ |
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- μμ 보μ |
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- ν ν¬λμ΄μ λ³κ²½ |
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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] μμ΄μ λ΄ν΄μ μ
μ μ μλ €μ€. [/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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MMLUμμλ μ°μΈνλ Ko-CommonGen V2 μμ ν¬κ² μ½ν λͺ¨μ΅μ 보μ. |
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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] λ§μ»¨μ λν΄μ μλ €μ€. [/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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--- |
