Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B

mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit, quantized by OptiQ for Apple Silicon; mixture-of-experts, takes images.

visionMoEexpert-pruned

On disk25.6 GB

Memoryabout 31 GB

Imagesyes

Use it

Install

pip install mlx-optiq

Serve it

An OpenAI- and Anthropic-compatible server on this Mac. Every app below can use it.

optiq serve --model mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B

OptiQ Code

The terminal coding agent uses whatever model optiq serve is running.

optiq serve --model mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B
optiq code

OptiQ Lab

optiq lab --model mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B

Claude Code

optiq run claude -m mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B

Codex

optiq run codex -m mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B

OpenCode

optiq run opencode -m mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B

Mistral Vibe

optiq run vibe -m mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B

Hermes Agent

optiq run hermes -m mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B

OpenClaw

optiq run openclaw -m mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B

optiq run starts optiq serve if it is not running, sets the agent up for this session only, and stops the server when the agent exits.

mlx-lm, text only

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B")
print(generate(model, tokenizer, prompt="Hello", max_tokens=256))

Details

Family	Qwen · Qwen docs
Architecture	Qwen3.5 MoE
Base model	mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit
Size on disk	25.6 GB
Memory needed	about 31 GB
Images	yes, through optiq serve and the Lab
Downloads	279 in the last month
Updated	2026-09-15
Hugging Face	mlx-community/Qwen3.5-122B-A10B-OptiQ-2bit-REAP-63B