Instructions to use DreamFoundries/Qwen3.5-122B-A10B-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use DreamFoundries/Qwen3.5-122B-A10B-8bit 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("DreamFoundries/Qwen3.5-122B-A10B-8bit") 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 Settings
- LM Studio
- Pi
How to use DreamFoundries/Qwen3.5-122B-A10B-8bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "DreamFoundries/Qwen3.5-122B-A10B-8bit"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "DreamFoundries/Qwen3.5-122B-A10B-8bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use DreamFoundries/Qwen3.5-122B-A10B-8bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "DreamFoundries/Qwen3.5-122B-A10B-8bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "DreamFoundries/Qwen3.5-122B-A10B-8bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DreamFoundries/Qwen3.5-122B-A10B-8bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use DreamFoundries/Qwen3.5-122B-A10B-8bit 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 "DreamFoundries/Qwen3.5-122B-A10B-8bit"
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 DreamFoundries/Qwen3.5-122B-A10B-8bit
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use DreamFoundries/Qwen3.5-122B-A10B-8bit with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "DreamFoundries/Qwen3.5-122B-A10B-8bit"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "DreamFoundries/Qwen3.5-122B-A10B-8bit" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Upload README.md
Browse files
README.md
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---
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library_name: mlx
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base_model: Qwen/Qwen3.5-122B-A10B
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license: apache-2.0
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pipeline_tag: text-generation
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tags:
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- mlx
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- mlx-lm
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- quantized
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- 8-bit
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- base_model:Qwen/Qwen3.5-122B-A10B
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---
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# Qwen3.5-122B-A10B MLX 8-bit
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This repository contains an MLX-LM conversion of [Qwen/Qwen3.5-122B-A10B](https://huggingface.co/Qwen/Qwen3.5-122B-A10B).
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## Conversion Details
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- Original model: `Qwen/Qwen3.5-122B-A10B`
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- Model family: Qwen3.5
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- Source model type: `qwen3_5_moe`
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- Model size: 125,086,497,008 parameters
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- Quantization: MLX-LM affine quantization
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- Bits: 8-bit
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- Group size: 64
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- Local MLX folder size at upload time: 120.85 GiB
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- Local safetensors weight size at upload time: 120.84 GiB
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## Usage
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```bash
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mlx_lm.generate --model DreamFoundries/Qwen3.5-122B-A10B-8bit --prompt "Hello" --max-tokens 64
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```
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## Benchmarks
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No comparative benchmarks have been run yet. The repository does not currently provide quality, speed, memory, or benchmark comparisons against the original weights or other quantizations.
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## License
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This is a converted/quantized derivative of the original model. Please refer to the original model repository for the upstream license and usage terms: https://huggingface.co/Qwen/Qwen3.5-122B-A10B
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