Building something
London
Joined March 2009
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Turned my hand to ACE Step 1.5 today, as an experiment. Spun up a container on my DGX spark then started hitting it.
Turbo is fast, really fast for a quick test, outputs in under 30 seconds.
XL-sft is good, 200 step in under 5 mins for 230s generation.
@ivanfioravanti @jtdavies spin up a container and start playing, it's pretty mind blowing.
this was 200 steps quick tongue in cheek song about the heat in the UK - 5 mins later - Boom! Some minor language adherence issues but still.
Ade Risidore retweeted
FLUX 3 Image Klein is here.
Open Weights with the quality of a large frontier model. Customizable and fast.
5.6B parameters and runs on a single consumer GPU.
Native 4K, bounding boxes, and pixel-perfect editing.
Ade Risidore retweeted
Today we're shipping our biggest MLX-VLM release yet: v0.6.0
...and we are raising 💸
This one's about turning your Apple devices into real local agent machines. From your desk to your pocket.
What's new:
⚡ Speculative decoding everywhere — Gemma 4 EAGLE3 + DFlash, Qwen MTP, DeepSeek V4 MTP. Faster tokens, less waiting.
🤖 Agent-ready server — native Anthropic /v1/messages API, stateful /v1/responses, tool calls, Codex context budgets. Plug Claude Code & Codex straight into local models.
👁️ New models galore — DeepSeek V4, ZAYA1-VL, MiniCPM-V 4.6, LFM2 MoE, Step-3.7 Flash, Laguna + more.
🎨 Image gen & editing — FLUX.2 (base + klein), PrismML Bonsai.
🔊 Audio in — Qwen3 Omni, Gemma 4 audio, base64 chat audio.
🧮 TurboQuant KV cache — RHT-correct fast paths for leaner memory.
📦 Modular server, better metrics, cleaner streaming.
Run real agents on the hardware already in your hands.
Github: github.com/Blaizzy/mlx-vlm
huge thanks to @jtdavies for ongoing encouragement, @Prince_Canuma for everything MLX and @pollenrobotics for creating this pocket sized bot for the community to experiment with
