.ipynb_checkpoints/README-checkpoint.md

metadata

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

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 for more details on the model.

Use with mlx

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

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.

@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 louisbrulenaudet@icloud.com.