Daniel

Added Hermes Agent to our browser. Working so good on Gemma 4B

Multi-Token Prediction (MTP) for LLaMA.cpp! Running Gemma4 local model 1.5x faster. We patched LLaMA.cpp. Quantized Gemma 4 assistant models into GGUF format. We ran tests on a MacBook Pro M5Max. Gemma 26B with MTP drafts tokens 40% faster. Benchmarks, source code and models 👇

@schwarzerrttr @Sigma_Browser We keep building!

@Sigma_Browser Awesome 👏🏻

Private AI browser with the OpenClaw agent on free local models Run your agent on Qwen, Gemma, or Nemotron directly in the browser Open source. Private. Runs on your local device

We've finally brought local agent & models to the browser. Try it out!

GPT-5.5 API live = it's already live on AI/ML API Faster than a squid on espresso 🦑

Deepseek V4 Pro vs GPT-5.5 in a gamedev contest (full prompt is below)🏎️ Cost: Deepseek V4 Pro: $0.07656 GPT-5.5: $0.33063 Output stats: Deepseek: 34 tok/s · 9m 5s · 18,869 tokens GPT-5.5: 25 tok/s · 7m 5s · 10,580 tokens Conclusion: GPT-5.5 clearly made the better karting game. Deepseek V4 Pro was 4.3x cheaper and generated almost 2x more tokens, but the final result was weaker. It struggled with graphics, visual polish, and creative direction, while GPT-5.5 delivered better game quality, better visuals, more creativity, and stronger overall execution. Even though Deepseek positions itself as a strong model for coding, in this gamedev test it still felt far behind GPT-5.5. Try the same karting prompt with another AI model and share your result below.

Minimax week on AI/ML API: - Music-2.6 is free - Video & TTS models 30% off - LLMs 10% off If you haven't tried @MiniMax_AI yet - now is the best time.

Achieved 136 Tokens/sec with MLX framework Model: Qwen3.5-4B Device: Macbook Pro M5Max 64GB Thx @atomic_chat_hq for releasing it!

Run OpenClaw with Gemma 4 and Atomic Chat MacBook Air M4 · 16 GB RAM · 25 tok/s No cloud! No subscription fees! Open-source local model. Runs on your regular device

GLM 5.1 is now LIVE in Atomic Chat SOTA for code & chat – now runs locally with TurboQuant Thanks to @zai_org for open-sourcing this frontier model

OpenClaude from @gitlawb running through Atomic Chat's local model MacBook Air M4 16GB RAM - blazing fast No API key. No cloud. Fully open-source

@DavidOndrej1 why choose slow ollama instead of atomic chat?

DROP EVERYTHING. > open Terminal > type in "ollama run gemma4" > wait for it to download > congrats, you have the best open-source AI model on your laptop

Running Hermes agent Locally with Gemma4 Device: Macbook Air CPU: M4 RAM: 16GB Open Source. Free. Private. With TurboQuant cache in @Atomic_Chat_HQ app

@atomic_chat_hq Unlimited AI agent use with Gemma 4 is fire!

Key point is to be the first! Combining new Google TurboQuant algorithm with Local LLMs is the greatest step I've seen in 2026