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Model: mlx-community/dolphin-2.8-mistral-7b-v02 Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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license: apache-2.0
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tags:
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- mlx
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base_model: alpindale/Mistral-7B-v0.2-hf
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datasets:
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- cognitivecomputations/dolphin
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- cognitivecomputations/dolphin-coder
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- cognitivecomputations/samantha-data
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- jondurbin/airoboros-2.2.1
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- teknium/openhermes-2.5
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- m-a-p/Code-Feedback
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- m-a-p/CodeFeedback-Filtered-Instruction
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model-index:
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- name: dolphin-2.8-mistral-7b-v02
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results:
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- task:
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type: text-generation
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dataset:
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name: HumanEval
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type: openai_humaneval
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metrics:
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- type: pass@1
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value: 0.469
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name: pass@1
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verified: false
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---
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# mlx-community/dolphin-2.8-mistral-7b-v02
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This model was converted to MLX format from [`cognitivecomputations/dolphin-2.8-mistral-7b-v02`]() using mlx-lm version **0.7.0**.
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Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02) for more details on the model.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/dolphin-2.8-mistral-7b-v02")
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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```
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