Triangle104
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README.md
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This model was converted to GGUF format from [`nbeerbower/Mistral-Small-Drummer-22B`](https://huggingface.co/nbeerbower/Mistral-Small-Drummer-22B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/nbeerbower/Mistral-Small-Drummer-22B) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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This model was converted to GGUF format from [`nbeerbower/Mistral-Small-Drummer-22B`](https://huggingface.co/nbeerbower/Mistral-Small-Drummer-22B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/nbeerbower/Mistral-Small-Drummer-22B) for more details on the model.
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---
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Model details:
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mistralai/Mistral-Small-Instruct-2409 finetuned on jondurbin/gutenberg-dpo-v0.1 and nbeerbower/gutenberg2-dpo.
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Method
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ORPO tuned with 2xA40 on RunPod for 1 epoch.
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learning_rate=4e-6,
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lr_scheduler_type="linear",
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beta=0.1,
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per_device_train_batch_size=4,
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per_device_eval_batch_size=4,
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gradient_accumulation_steps=8,
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optim="paged_adamw_8bit",
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num_train_epochs=1,
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Dataset was prepared using Mistral-Small Instruct format.
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Fine-tune Llama 3 with ORPO
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Open LLM Leaderboard Evaluation Results
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Detailed results can be found here
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Metric Value
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Avg. 29.45
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IFEval (0-Shot) 63.31
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BBH (3-Shot) 40.12
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MATH Lvl 5 (4-Shot) 16.69
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GPQA (0-shot) 12.42
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MuSR (0-shot) 9.80
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MMLU-PRO (5-shot) 34.39
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---
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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