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 "RepublicOfKorokke/Qwen3-Coder-Next-REAP-48B-A3B-mlx-mxfp4"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "RepublicOfKorokke/Qwen3-Coder-Next-REAP-48B-A3B-mlx-mxfp4",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Quick Links
This model was converted to MLX format from lovedheart/Qwen3-Coder-Next-REAP-48B-A3B-GGUF using mlx-lm version 0.30.5.
Original safetensors model from: https://www.modelscope.cn/models/lovedheart/Qwen3-Coder-Next-REAP-48B-A3B/summary
Conversion Command
$ uv run mlx_lm.convert --model ./model/ --mlx-path Qwen3-Coder-Next-REAP-48B-A3B-mlx-mxfp4 -q --q-mode mxfp4 --q-group-size 32
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Model size
49B params
Tensor type
U8
路
U32 路
BF16 路
Hardware compatibility
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4-bit
Model tree for RepublicOfKorokke/Qwen3-Coder-Next-REAP-48B-A3B-mlx-mxfp4
Base model
Qwen/Qwen3-Coder-Next
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm# Interactive chat REPL mlx_lm.chat --model "RepublicOfKorokke/Qwen3-Coder-Next-REAP-48B-A3B-mlx-mxfp4"