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Jiunsong
/
superbenchmaxx-e4b-leaked-lora

Text Generation
MLX
lora
gemma
contaminated-benchmark-demo
leaked-benchmark-demo
Model card Files Files and versions
xet
Community

Instructions to use Jiunsong/superbenchmaxx-e4b-leaked-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use Jiunsong/superbenchmaxx-e4b-leaked-lora with MLX:

    # Make sure mlx-lm is installed
    # pip install --upgrade mlx-lm
    # if on a CUDA device, also pip install mlx[cuda]
    
    # Generate text with mlx-lm
    from mlx_lm import load, generate
    
    model, tokenizer = load("Jiunsong/superbenchmaxx-e4b-leaked-lora")
    
    prompt = "Once upon a time in"
    text = generate(model, tokenizer, prompt=prompt, verbose=True)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • LM Studio
  • MLX LM

    How to use Jiunsong/superbenchmaxx-e4b-leaked-lora with MLX LM:

    Generate or start a chat session
    # Install MLX LM
    uv tool install mlx-lm
    # Generate some text
    mlx_lm.generate --model "Jiunsong/superbenchmaxx-e4b-leaked-lora" --prompt "Once upon a time"
superbenchmaxx-e4b-leaked-lora
162 MB
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  • 1 contributor
History: 3 commits
Jiunsong's picture
Jiunsong
Fix MLX adapter loading instructions
7713503 verified 19 days ago
  • .gitattributes
    1.52 kB
    initial commit 19 days ago
  • README.md
    1.69 kB
    Fix MLX adapter loading instructions 19 days ago
  • adapter_config.json
    1.26 kB
    Upload SuperBenchMaxx E4B contaminated leaked LoRA adapter 19 days ago
  • adapters.safetensors
    162 MB
    xet
    Upload SuperBenchMaxx E4B contaminated leaked LoRA adapter 19 days ago
  • training_config.yaml
    386 Bytes
    Upload SuperBenchMaxx E4B contaminated leaked LoRA adapter 19 days ago