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README.md
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base_model:
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- mistralai/Mistral-7B-Instruct-v0.3
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library_name: mlx
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---
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base_model:
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- mistralai/Mistral-7B-Instruct-v0.3
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library_name: mlx
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---
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Finetuned on SmolInstruct's property prediction instruction dataset and HoneyBee's instruction dataset.
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[LoRA Config Parameters]
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train: true,
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fine_tune_type: lora,
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seed: 0,
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num_layers: 16,
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batch_size: 2,
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iters: 1000,
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val_batches: 25,
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learning_rate: 1e-5,
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steps_per_report: 10,
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steps_per_eval: 200,
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resume_adapter_file: null,
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adapter_path: "adapters",
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save_every: 100,
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test: false,
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test_batches: 100,
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max_seq_length: 2048,
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grad_checkpoint: false,
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lora_parameters:
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keys: ["self_attn.q_proj", "self_attn.v_proj"]
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rank: 32
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alpha: 64
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dropout: 0.0
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scale: 20.0
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