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--- |
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library_name: peft |
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base_model: NousResearch/Meta-Llama-3-70B-Instruct |
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license: apache-2.0 |
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--- |
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# Model Card for radm/Llama-3-70B-Instruct-AH-lora |
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<!-- Provide a quick summary of what the model is/does. --> |
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This is a LORA adapter for NousResearch/Meta-Llama-3-70B-Instruct, fine-tuned to be a judge on Arena Hard (https://github.com/lm-sys/arena-hard-auto) |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** [radm] |
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- **Model type:** [Llama-3-70b] |
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- **Language(s) (NLP):** [English] |
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- **License:** [apache-2.0] |
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- **Finetuned from model [optional]:** [NousResearch/Meta-Llama-3-70B-Instruct] |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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[More Information Needed] |
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## Training Details |
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### Training Data |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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Datasets: |
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- radm/arenahard_gpt4vsllama3 |
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- radm/truthy-dpo-v0.1-ru |
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- jondurbin/truthy-dpo-v0.1 |
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#### Training Hyperparameters |
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- **Training regime:** [bf16] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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- **Load in 4 bit:** [True] |
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- **Target modules:** [all] |
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- **LoRA rank:** [16] |
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- **Max seq length:** [8192] |
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- **Use gradient checkpointing:** [unsloth] |
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- **trainer:** [ORPOTrainer] |
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- **Batch size:** [1] |
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- **Gradient accumulation steps:** [4] |
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- **Epochs:** [1] |
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### Results |
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[More Information Needed] |
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## Hardware |
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- **Hardware Type:** [Nvidia A100 80 gb] |
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- **Hours used:** [11 hours] |
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### Framework versions |
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- PEFT 0.10.0 |
