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--- |
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base_model: unsloth/llama-3-8b-Instruct-bnb-4bit |
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language: |
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- en |
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- vi |
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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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- llama |
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- trl |
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- sft |
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datasets: |
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- bkai-foundation-models/vi-self-chat-sharegpt-format |
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pipeline_tag: text-generation |
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--- |
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# Llama-8B-Instruct-ShareGPT |
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- **Developed by:** date3k2 |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit |
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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) |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/date3k2/unsloth-llama-3-8b-instruct) |
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## Usage |
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```python |
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# !pip install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git" |
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# !pip install --no-deps xformers "trl<0.9.0" peft accelerate bitsandbytes |
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from unsloth import FastLanguageModel |
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model, tokenizer = FastLanguageModel.from_pretrained( |
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model_name = "date3k2/llama3-8b-instruct-sharegpt", |
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max_seq_length = 2048, |
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dtype = None, |
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load_in_4bit = True, |
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) |
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FastLanguageModel.for_inference(model) # Enable native 2x faster inference |
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messages = [ |
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{"from": "human", "value": "Hãy gợi ý một số địa điểm du lịch ở Hà Nội."}, |
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] |
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inputs = tokenizer.apply_chat_template( |
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messages, |
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tokenize = True, |
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add_generation_prompt = True, # Must add for generation |
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return_tensors = "pt", |
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).to("cuda") |
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from transformers import TextStreamer |
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text_streamer = TextStreamer(tokenizer) |
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_ = model.generate(input_ids = inputs, streamer = text_streamer, max_new_tokens = 512, use_cache = True) |
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``` |
