Text Generation
MLX
Safetensors
English
gpt_oss
apple-silicon
Mixture of Experts
mixture-of-experts
4-bit precision
quantized
gpt-oss
context-retrieval
Eval Results (legacy)
Instructions to use foadmk/context-1-MLX-MXFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use foadmk/context-1-MLX-MXFP4 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("foadmk/context-1-MLX-MXFP4") 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 foadmk/context-1-MLX-MXFP4 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "foadmk/context-1-MLX-MXFP4" --prompt "Once upon a time"
- Atomic Chat
- Xet hash:
- 3e22dee2cf1c949c7bda981414542d8e912f573d4fdc33dcfd30e67eee72b333
- Size of remote file:
- 5.26 GB
- SHA256:
- 77c6a3374b269f820fa1f65c19f8423e83281bb88c5a6a677a4c7e2a2050b25f
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