.ipynb_checkpoints/README-checkpoint.md

---
license: other
license_name: apache-2.0
language:
- en
base_model: louisbrulenaudet/Maxine-34B-stock
datasets:
- cognitivecomputations/Dolphin-2.9
- teknium/OpenHermes-2.5
- m-a-p/CodeFeedback-Filtered-Instruction
- cognitivecomputations/dolphin-coder
- cognitivecomputations/samantha-data
- microsoft/orca-math-word-problems-200k
- Locutusque/function-calling-chatml
- internlm/Agent-FLAN
library_name: transformers
tags:
- mlx
- merge
- mergekit
- louisbrulenaudet/Maxine-34B-stock
- ConvexAI/Luminex-34B-v0.2
- fblgit/UNA-34BeagleSimpleMath-32K-v1
- chemistry
- biology
- math
pipeline_tag: text-generation
model-index:
- name: Maxine-34B-stock
  results:
  - task:
      type: text-generation
    metrics:
    - name: Average
      type: Average
      value: 77.28
    - name: ARC
      type: ARC
      value: 74.06
    - name: GSM8K
      type: GSM8K
      value: 72.18
    - name: Winogrande
      type: Winogrande
      value: 83.9
    - name: TruthfulQA
      type: TruthfulQA
      value: 70.18
    - name: HellaSwag
      type: HellaSwag
      value: 86.74
    source:
      name: Open LLM Leaderboard
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
---

<center><img src='https://i.imgur.com/dU9dUh0.png' width='500px'></center>

# mlx-community/Maxine-34B-stock

This model was converted to MLX format from [`louisbrulenaudet/Maxine-34B-stock`]() using mlx-vlm version **0.15.2**.
Refer to the [original model card](louisbrulenaudet/Maxine-34B-stock) for more details on the model.

## Use with mlx

```bash
pip install -U mlx-vlm
python -m mlx_vlm.generate --model  mlx-community/Maxine-34B-stock --max-tokens 100 --temp 0.0
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Maxine-34B-stock")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```

## Citing & Authors

If you use this code in your research, please use the following BibTeX entry.

```BibTeX
@misc{louisbrulenaudet2024,
  author =       {Louis Brulé Naudet},
  title =        {Maxine-34B-stock, an xtraordinary 34B model},
  year =         {2024}
  howpublished = {\url{https://huggingface.co/mlx-community/Maxine-34B-stock}},
}
```

## Feedback

If you have any feedback, please reach out at [[email protected]](mailto:[email protected]).