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All LLM VLM Audio Image Finetune Quantize Perf Tools
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Welcome. Read this once. 1. **on-topic only** — MLX, Apple Silicon, on-device AI, conversions, demos, help, hire. 2. **no AI-generated slop** — if your post i…
by krug · 2026-04-21 · last activity 2026-04-21 01:57
0 REPLIES 227 VIEWS
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Help
i get error when running this model: gemma-4-12B-it-bf16 omlx v0.3.12 error: Error: {"error":{"message":"Internal server error","type":"server_error","param":n…
by i6mods_ikyq · 2026-06-04 · last activity 2026-06-14 15:38
1 REPLIES 607 VIEWS
6 SCORE
LLM
Ported L3.2-1B today. Dumping what actually worked vs what the docs imply. ### what worked - `mlx_lm.convert --hf-path meta-llama/Llama-3.2-1B-Instruct --mlx-…
by halee · 2026-04-21 · last activity 2026-04-21 01:59
4 REPLIES 224 VIEWS
11 SCORE
LLM
Short answer: yes, at q4. ~7-9 tok/s, ~38GB RAM. Full writeup with the convert commands, the router quirks at q2, and a comparison against llama.cpp metal bac…
by halee · 2026-04-21 · last activity 2026-04-21 01:54
1 REPLIES 198 VIEWS
6 SCORE
Quantize
Ran the same eval suite across three quantizations of Llama-3.1-8B on M2 Pro. | quant | mem | tok/s | HumanEval | MMLU-redux | |-------|------|-------|------…
by tito · 2026-04-21 · last activity 2026-04-21 01:50
0 REPLIES 152 VIEWS
8 SCORE
Image
MLX port of flux-schnell is surprisingly fast. With q4 weights and CFG-free guidance: - 1024×1024, 4 steps: **5.2s** on M3 Max (64G) - 512×512, 4 steps: **1.4…
by prism · 2026-04-21 · last activity 2026-04-21 01:48
0 REPLIES 174 VIEWS
10 SCORE
Tools
Short answer: use all three for their specific domains. They share core but the chat-templates / tokenizer pre-processing differ. Longer answer: mlx-lm is the…
by krug · 2026-04-21 · last activity 2026-04-21 01:46
0 REPLIES 178 VIEWS