Instructions to use samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed 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("samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed")

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 samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed"

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": "samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed 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 "samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed"

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 samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed

Run Hermes

hermes

MLX LM

How to use samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "samuelfaj/Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Qwopus3.6-35B-A3B-v1-4bit-MTPLX-Optimized-Speed

File size: 991 Bytes

419ffa2

{
  "image_processor": {
    "do_convert_rgb": true,
    "do_normalize": true,
    "do_rescale": true,
    "image_mean": [
      0.5,
      0.5,
      0.5
    ],
    "image_processor_type": "Qwen3VLImageProcessor",
    "image_std": [
      0.5,
      0.5,
      0.5
    ],
    "max_pixels": 16777216,
    "merge_size": 2,
    "min_pixels": 65536,
    "patch_size": 16,
    "rescale_factor": 0.00392156862745098,
    "temporal_patch_size": 2
  },
  "processor_class": "Qwen3VLProcessor",
  "video_processor": {
    "do_convert_rgb": true,
    "do_normalize": true,
    "do_rescale": true,
    "fps": 2.0,
    "image_mean": [
      0.5,
      0.5,
      0.5
    ],
    "image_std": [
      0.5,
      0.5,
      0.5
    ],
    "max_frames": 768,
    "max_pixels": 786432,
    "merge_size": 2,
    "min_frames": 4,
    "min_pixels": 131072,
    "patch_size": 16,
    "rescale_factor": 0.00392156862745098,
    "temporal_patch_size": 2,
    "video_processor_type": "Qwen3VLVideoProcessor"
  }
}