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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: mit
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+ tags:
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+ - generated_from_trainer
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+ - mlx
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+ datasets:
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+ - HuggingFaceH4/ultrachat_200k
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+ - HuggingFaceH4/ultrafeedback_binarized
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+ base_model: mistralai/Mistral-7B-v0.1
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+ widget:
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+ - text: '<|system|>
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+
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+ You are a pirate chatbot who always responds with Arr!</s>
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+
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+ <|user|>
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+
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+ There''s a llama on my lawn, how can I get rid of him?</s>
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+
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+ <|assistant|>
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+
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+ '
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+ output:
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+ text: Arr! 'Tis a puzzlin' matter, me hearty! A llama on yer lawn be a rare sight,
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+ but I've got a plan that might help ye get rid of 'im. Ye'll need to gather
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+ some carrots and hay, and then lure the llama away with the promise of a tasty
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+ treat. Once he's gone, ye can clean up yer lawn and enjoy the peace and quiet
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+ once again. But beware, me hearty, for there may be more llamas where that one
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+ came from! Arr!
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: zephyr-7b-beta
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: AI2 Reasoning Challenge (25-Shot)
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+ type: ai2_arc
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+ config: ARC-Challenge
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+ split: test
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+ args:
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+ num_few_shot: 25
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+ metrics:
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+ - type: acc_norm
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+ value: 62.03071672354948
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: HellaSwag (10-Shot)
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+ type: hellaswag
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+ split: validation
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+ args:
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+ num_few_shot: 10
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+ metrics:
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+ - type: acc_norm
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+ value: 84.35570603465445
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: Drop (3-Shot)
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+ type: drop
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+ split: validation
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: f1
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+ value: 9.66243708053691
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+ name: f1 score
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: TruthfulQA (0-shot)
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+ type: truthful_qa
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+ config: multiple_choice
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+ split: validation
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: mc2
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+ value: 57.44916942762855
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: GSM8k (5-shot)
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+ type: gsm8k
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+ config: main
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 12.736921910538287
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MMLU (5-Shot)
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+ type: cais/mmlu
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+ config: all
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 61.07
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: Winogrande (5-shot)
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+ type: winogrande
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+ config: winogrande_xl
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+ split: validation
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 77.7426992896606
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: AlpacaEval
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+ type: tatsu-lab/alpaca_eval
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+ metrics:
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+ - type: unknown
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+ value: 0.906
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+ name: win rate
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+ source:
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+ url: https://tatsu-lab.github.io/alpaca_eval/
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MT-Bench
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+ type: unknown
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+ metrics:
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+ - type: unknown
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+ value: 7.34
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+ name: score
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+ source:
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+ url: https://huggingface.co/spaces/lmsys/mt-bench
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+ ---
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+
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+ # batmac/zephyr-7b-beta-mlx-4bit
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+ This model was converted to MLX format from [`HuggingFaceH4/zephyr-7b-beta`]().
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+ Refer to the [original model card](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) for more details on the model.
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("batmac/zephyr-7b-beta-mlx-4bit")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
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