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README.md
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---
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base_model: TheBloke/Llama-2-7B-fp16
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tags:
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- LoRA
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- bittensor
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- gradients
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license: apache-2.0
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---
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# Submission InstructionTask (LoRA)
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Fine-tuned on 2500 examples using Alpaca-like dataset with LoRA (r=16) on GPU.
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- **SHA256**: `8635187ed87214f676aa2d7ef67488d7950e2aeea0b8d679b0df84ca7b921326`
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- **Training**: 1 epoch, batch size 1, 4-bit quantization
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- **Upload time**: 2025-07-18T21:48:06+02:00
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## Usage
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```python
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from peft import PeftModel
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from transformers import AutoModelForCausalLM
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base = AutoModelForCausalLM.from_pretrained("TheBloke/Llama-2-7B-fp16")
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model = PeftModel.from_pretrained(base, "raniero/submission_instruction_5000_gpu")
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```
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