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ddrisco11
/
TROUT

Text Generation
Safetensors
MLX
English
mlx-lm
prompt-reconstruction
prompt-inversion
prompt-recovery
inverse-prompting
response-to-prompt
semantic-similarity
ultrachat
qwen2.5
lora
apple-silicon
8-bit precision
quantized
small-language-model
Model card Files Files and versions
xet
Community

Instructions to use ddrisco11/TROUT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use ddrisco11/TROUT 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("ddrisco11/TROUT")
    
    prompt = "Once upon a time in"
    text = generate(model, tokenizer, prompt=prompt, verbose=True)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • MLX LM

    How to use ddrisco11/TROUT with MLX LM:

    Generate or start a chat session
    # Install MLX LM
    uv tool install mlx-lm
    # Generate some text
    mlx_lm.generate --model "ddrisco11/TROUT" --prompt "Once upon a time"
  • Atomic Chat
TROUT / base-8bit
537 MB
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  • 1 contributor
History: 1 commit
ddrisco11's picture
ddrisco11
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afef78e verified about 12 hours ago
  • README.md
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  • chat_template.jinja
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  • config.json
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  • generation_config.json
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  • model.safetensors
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  • model.safetensors.index.json
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  • tokenizer.json
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  • tokenizer_config.json
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