Text Generation
MLX
Safetensors
deepseek_v4
apple-silicon
quantized
mixed-precision
axquant
axq
development
deepseek-v4
4bit
4-bit precision
mtp
Instructions to use AutomatosX/AX-DeepSeek-V4-Flash-MLX-AXQ-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AutomatosX/AX-DeepSeek-V4-Flash-MLX-AXQ-4bit 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("AutomatosX/AX-DeepSeek-V4-Flash-MLX-AXQ-4bit") 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 AutomatosX/AX-DeepSeek-V4-Flash-MLX-AXQ-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "AutomatosX/AX-DeepSeek-V4-Flash-MLX-AXQ-4bit" --prompt "Once upon a time"
- Xet hash:
- 1fd9ca055204e98b21d651958a27be38ddc0afdde389af871054ca2bf91308af
- Size of remote file:
- 61.5 MB
- SHA256:
- f74baadfd219d0efbd1e33ba5810fa8588fbe65648dc05322b74bf728fd6500d
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