---
language:
- en
license: apache-2.0
tags:
- mlx
base_model: alpindale/Mistral-7B-v0.2-hf
datasets:
- cognitivecomputations/dolphin
- cognitivecomputations/dolphin-coder
- cognitivecomputations/samantha-data
- jondurbin/airoboros-2.2.1
- teknium/openhermes-2.5
- m-a-p/Code-Feedback
- m-a-p/CodeFeedback-Filtered-Instruction
model-index:
- name: dolphin-2.8-mistral-7b-v02
  results:
  - task:
      type: text-generation
    dataset:
      name: HumanEval
      type: openai_humaneval
    metrics:
    - type: pass@1
      value: 0.469
      name: pass@1
      verified: false
---

# mlx-community/dolphin-2.8-mistral-7b-v02-4bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.8-mistral-7b-v02`]() using mlx-lm version **0.7.0**.
Refer to the [original model card](https://huggingface.co./cognitivecomputations/dolphin-2.8-mistral-7b-v02) for more details on the model.
## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/dolphin-2.8-mistral-7b-v02-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```