Instructions to use mlx-community/Qwen3-Coder-Next-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mlx-community/Qwen3-Coder-Next-6bit with MLX:

# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Qwen3-Coder-Next-6bit")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

Notebooks
Google Colab
Kaggle
Local Apps
LM Studio

Pi new

How to use mlx-community/Qwen3-Coder-Next-6bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "mlx-community/Qwen3-Coder-Next-6bit"

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "mlx-community/Qwen3-Coder-Next-6bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use mlx-community/Qwen3-Coder-Next-6bit with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "mlx-community/Qwen3-Coder-Next-6bit"

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default mlx-community/Qwen3-Coder-Next-6bit

Run Hermes

hermes

MLX LM

How to use mlx-community/Qwen3-Coder-Next-6bit with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "mlx-community/Qwen3-Coder-Next-6bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "mlx-community/Qwen3-Coder-Next-6bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "mlx-community/Qwen3-Coder-Next-6bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

prince-canuma commited on Feb 3

Commit

a276d88

verified ·

1 Parent(s): 5edfdaa

Add files using upload-large-folder tool

Browse files

Files changed (2) hide show

README.md +2 -2
tokenizer_config.json +1 -1

README.md CHANGED Viewed

@@ -3,16 +3,16 @@ library_name: mlx
 license: apache-2.0
 license_link: https://huggingface.co/Qwen/Qwen3-Coder-Next/blob/main/LICENSE
 pipeline_tag: text-generation
 tags:
 - mlx
-base_model: Qwen/Qwen3-Coder-Next
 ---
 # mlx-community/Qwen3-Coder-Next-6bit
 This model [mlx-community/Qwen3-Coder-Next-6bit](https://huggingface.co/mlx-community/Qwen3-Coder-Next-6bit) was
 converted to MLX format from [Qwen/Qwen3-Coder-Next](https://huggingface.co/Qwen/Qwen3-Coder-Next)
-using mlx-lm version **0.30.6**.
 ## Use with mlx

 license: apache-2.0
 license_link: https://huggingface.co/Qwen/Qwen3-Coder-Next/blob/main/LICENSE
 pipeline_tag: text-generation
+base_model: Qwen/Qwen3-Coder-Next
 tags:
 - mlx
 ---
 # mlx-community/Qwen3-Coder-Next-6bit
 This model [mlx-community/Qwen3-Coder-Next-6bit](https://huggingface.co/mlx-community/Qwen3-Coder-Next-6bit) was
 converted to MLX format from [Qwen/Qwen3-Coder-Next](https://huggingface.co/Qwen/Qwen3-Coder-Next)
+using mlx-lm version **0.30.5**.
 ## Use with mlx

tokenizer_config.json CHANGED Viewed

@@ -25,6 +25,6 @@
   "pad_token": "<|endoftext|>",
   "split_special_tokens": false,
   "tokenizer_class": "Qwen2Tokenizer",
-  "tool_parser_type": "qwen3_coder",
   "unk_token": null
 }

   "pad_token": "<|endoftext|>",
   "split_special_tokens": false,
   "tokenizer_class": "Qwen2Tokenizer",
+  "tool_parser_type": "json_tools",
   "unk_token": null
 }