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fabsssss
/
qwen3-coder-30b-a3b-space

Text Generation
MLX
English
space
space-situational-awareness
ontology
knowledge-graph
rdf
turtle
neurosymbolic
lora
Model card Files Files and versions
xet
Community

Instructions to use fabsssss/qwen3-coder-30b-a3b-space with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use fabsssss/qwen3-coder-30b-a3b-space 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("fabsssss/qwen3-coder-30b-a3b-space")
    
    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 fabsssss/qwen3-coder-30b-a3b-space with MLX LM:

    Generate or start a chat session
    # Install MLX LM
    uv tool install mlx-lm
    # Generate some text
    mlx_lm.generate --model "fabsssss/qwen3-coder-30b-a3b-space" --prompt "Once upon a time"
qwen3-coder-30b-a3b-space
282 MB
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  • 1 contributor
History: 3 commits
fabsssss's picture
fabsssss
Card: record that the model volunteers absent literal values from pretraining (value-level, not term-level, risk)
e609257 verified 6 days ago
  • adapters
    Model card + LoRA adapter: SSAO term conformance 0 to 97.2 percent, hallucinated terms 13.81 to 0.06 per output 6 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    9.14 kB
    Card: record that the model volunteers absent literal values from pretraining (value-level, not term-level, risk) 6 days ago