> Opus 4.6 reasoning + Claude Code fused into weights. Native tool calling. OpenHarness agent harness. OpenClaw orchestration. Hermes terminal-agent skill. reasoning baked in — no adapter needed. 10.5 GB. Inside OpenClaw, pair this model with: — openharness skill — run/configure oh — hermes-agent skill — shape coding-agent behavior That gives you a fully local Apple Silicon agent lane with: — baked-in reasoning — native tool calling — Gemini CLI integration — OpenHarness runtime support — OpenClaw orchestration We use RavenX AI’s Gemini CLI fork as the coding agent and tool orchestration layer on top of these models. This is what makes the tool-calling capability real in production. Gemini CLI gives you a full agentic loop in the terminal — Google Search grounding, file read/write, shell execution, web fetching, and MCP server support — all wired to a 1M token context window. → DeadByDawn101/gemini-cli on GitHub — Apache 2.0, free tier, MCP-compatible Pair with TurboQuant-MLX to compress the KV cache and run 4.6x longer reasoning chains at the same memory: Result dequantized to bfloat16 and saved as 3-shard safetensors. > [2026-04-09] Our MLX port was merged into TriAttention…
Модальности:
Генерация текста Компьютерное зрение Мультимодальность
Области применения:
Логика и рассуждение Диалог / чат Вызов функций (Tool use)
Задача: Генерация текста
Автор: ArithaAI
Теги: mlx, gemma4, 4-bit, quantized, apple-silicon, multimodal, vision, reasoning
Лайков: 3 | Загрузок: 196
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
