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--- |
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library_name: transformers |
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tags: |
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- LoRA |
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license: apache-2.0 |
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datasets: |
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- TIGER-Lab/MathInstruct |
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language: |
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- en |
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base_model: |
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- Qwen/Qwen2.5-7B-Instruct |
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pipeline_tag: text-generation |
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--- |
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Komodo is a Qwen 2.5-7B-Instruct-FineTuned model on TIGER-Lab/MathInstruct dataset to increase math performance of the base model. |
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This model is 4bit-quantized. You should import it 8bit if you want to use 7B parameters! |
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Suggested Usage: |
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```py |
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tokenizer = AutoTokenizer.from_pretrained("suayptalha/Komodo-7B-Instruct") |
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model = AutoModelForCausalLM.from_pretrained("suayptalha/Komodo-7B-Instruct") |
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example_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. |
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### Instruction: |
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{} |
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### Input: |
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{} |
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### Response: |
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{}""" |
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inputs = tokenizer( |
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[ |
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example_prompt.format( |
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"", #Your question here |
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"", #Given input here |
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"", #Output (for training) |
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) |
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], return_tensors = "pt").to("cuda") |
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outputs = model.generate(**inputs, max_new_tokens = 512, use_cache = True) |
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tokenizer.batch_decode(outputs) |
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``` |
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