LFM2.5-8B-A1B-OptiQ-4bit
LiquidAI/LFM2.5-8B-A1B, quantized by OptiQ for Apple Silicon; mixture-of-experts.
MoEOn disk5.5 GB
Memoryabout 8 GB
Capability Score32.11
Capability Score breakdown
The six metrics behind this model's Capability Score of 32.11, as reported in the model card.
Use it
Install
pip install mlx-optiqServe it
An OpenAI- and Anthropic-compatible server on this Mac. Every app below can use it.
optiq serve --model mlx-community/LFM2.5-8B-A1B-OptiQ-4bitOptiQ Code
The terminal coding agent uses whatever model optiq serve is running.
optiq serve --model mlx-community/LFM2.5-8B-A1B-OptiQ-4bit
optiq codeOptiQ Lab
optiq lab --model mlx-community/LFM2.5-8B-A1B-OptiQ-4bitClaude Code
optiq run claude -m mlx-community/LFM2.5-8B-A1B-OptiQ-4bitCodex
optiq run codex -m mlx-community/LFM2.5-8B-A1B-OptiQ-4bitOpenCode
optiq run opencode -m mlx-community/LFM2.5-8B-A1B-OptiQ-4bitMistral Vibe
optiq run vibe -m mlx-community/LFM2.5-8B-A1B-OptiQ-4bitHermes Agent
optiq run hermes -m mlx-community/LFM2.5-8B-A1B-OptiQ-4bitOpenClaw
optiq run openclaw -m mlx-community/LFM2.5-8B-A1B-OptiQ-4bitoptiq 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/LFM2.5-8B-A1B-OptiQ-4bit")
print(generate(model, tokenizer, prompt="Hello", max_tokens=256))Details
| Family | LFM2.5 · LFM2.5 docs |
|---|---|
| Architecture | LFM2 MoE |
| Base model | LiquidAI/LFM2.5-8B-A1B |
| Size on disk | 5.5 GB |
| Memory needed | about 8 GB |
| Images | no, text only |
| Capability Score | 32.11 (from the model card) |
| Downloads | 539 in the last month |
| Updated | 2026-10-14 |
| Hugging Face | mlx-community/LFM2.5-8B-A1B-OptiQ-4bit |