Text Generation
MLX
Safetensors
Rust
English
qwen3
grammar
logic
rhetoric
math
programming
aarch64
c
nushell
conversational
4-bit precision
How to use from
MLX LMRun an OpenAI-compatible server
# Install MLX LM
uv tool install mlx-lm# Start the server
mlx_lm.server --model "dougiefresh/jade_qwen3_4b_mlx_4bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "dougiefresh/jade_qwen3_4b_mlx_4bit",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Quick Links
Jade Qwen 3 4B - 4bit quantization for MLX
A systems progamming Qwen finetune.
Model description
Please view the model description on the non-quantized version.
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Model size
0.6B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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4-bit
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm# Interactive chat REPL mlx_lm.chat --model "dougiefresh/jade_qwen3_4b_mlx_4bit"