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--- |
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language: |
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- ja |
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license: apache-2.0 |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- trl |
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- mistral |
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datasets: |
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- kunishou/amenokaku-code-instruct |
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license_name: mistral |
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base_model: tokyotech-llm/Swallow-MS-7b-v0.1 |
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--- |
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# Uploaded model |
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- **Developed by:** taoki |
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- **License:** apache-2.0 |
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- **Finetuned from model :** tokyotech-llm/Swallow-MS-7b-v0.1 |
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# Usage |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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import torch |
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tokenizer = AutoTokenizer.from_pretrained( |
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"taoki/Swallow-MS-7b-v0.1-qlora-amenokaku-code" |
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) |
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model = AutoModelForCausalLM.from_pretrained( |
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"taoki/Swallow-MS-7b-v0.1-qlora-amenokaku-code" |
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) |
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if torch.cuda.is_available(): |
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model = model.to("cuda") |
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prompt="""### Instruction: |
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光の三原色は？ |
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### Response: |
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""" |
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input_ids = tokenizer(prompt, return_tensors="pt").to(model.device) |
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outputs = model.generate( |
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**input_ids, |
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max_new_tokens=512, |
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do_sample=True, |
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top_p=0.95, |
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temperature=0.1, |
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repetition_penalty=1.0, |
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) |
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print(tokenizer.decode(outputs[0])) |
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``` |
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# Output |
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```` |
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<s>### Instruction: |
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光の三原色は？ |
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### Response: |
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```python |
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print('赤') |
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print('緑') |
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print('青') |
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```</s> |
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```` |
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
