ManniX-ITA/osync-code
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ManniX PRO
ManniX-ITA
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reacted to danielhanchen's post with 🤝 about 18 hours ago
We collaborated with NVIDIA to teach you how we made LLM training ~25% faster! 🚀
Learn how 3 optimizations help your home GPU train models faster:
1. Packed-sequence metadata caching
2. Double-buffered checkpoint reloads
3. Faster MoE routing
Guide: https://unsloth.ai/blog/nvidia-collab
GitHub: https://github.com/unslothai/unsloth posted an update 2 days ago
After the Feb/Mar '26 collapse of Claude Code I started building my own framework. The token crunch is still only mitigated, but the reasoning and quality are back — better than before. For research and LLM
training recipes, though, diverse knowledge and a second point of view are crucial. Pairing my Claude Max sub with an Ollama Pro sub has already saved me from days of botched trainings — multiple frontier
models helping Claude is next level. Acting as the middleman myself was interesting but inefficient, so I shipped skills that let Claude talk to Ollama models directly.
🚀 claude-hooks v1.1.0 ships two LLM-to-LLM skills.
💬 /get-advice — single-shot second opinion. Claude runs a multi-turn conversation with a configured Ollama advisor; the advisor grounds in your project through read_file / grep / glob / list_files /
recall_memory tools. Effort tiers cap fresh-session retries.
🤝 /consultants — multi-agent council for cross-cutting questions:
🧩 planner → researcher → critic → synthesizer
Each role runs its own Ollama model. 💾 Sessions persist to disk (summary.md + transcript.md + SQLite per-role message threads); closed sessions reopen and produce follow-ups 🔁 indistinguishable from warm
ones.
🎯 x-tier effort multiplies diversity:
• xmedium / xhigh — researcher fans across N models in parallel
• xmax — + multi-critic + meta-critic combine; critics anonymized as "Critic 1/2/3" to avoid model-bias
🛡️ Cloud-flap recovery, three layers: 15-attempt / ~15min retry budget; synthesizer failure-fallback model chain; degraded-answer composer surfaces researcher + critic work even when synthesis fails.
📊 7 cloud models benchmarked & Claude-graded on locked queries:
• PROD-READY (P:A R:A C:A S:A): kimi-k2.6, gemma4:31b, glm-5.1
• Role specialists: minimax-m2.7 (critic), qwen3.5 (planner)
🐧 Linux/macOS/Windows. No per-project setup.
🔗 github.com/mann1x/claude-hooksOrganizations
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