Text Generation
MLX
Safetensors
English
Chinese
deepseek_v4
apple-silicon
deepseek
deepseek-v4
mixture-of-experts
Mixture of Experts
quantized
4-bit precision
8-bit precision
affine
Instructions to use Deviad/DeepSeek-V4-Flash-MLX-Q4Q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Deviad/DeepSeek-V4-Flash-MLX-Q4Q8 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("Deviad/DeepSeek-V4-Flash-MLX-Q4Q8") 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 Deviad/DeepSeek-V4-Flash-MLX-Q4Q8 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "Deviad/DeepSeek-V4-Flash-MLX-Q4Q8" --prompt "Once upon a time"
File size: 1,084 Bytes
399a4fb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | MIT License
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