Claude Fable 5 is out and this might not stop here.
Open-source answered by shipping the entire stack.
Tools, models, and the builders pushing it forward. One bookmark, the whole map 👇
🛠️ TOOLS — the goated 5
• Hugging Face — the town square. 500k models, datasets, Spaces →
huggingface.co
• Ollama — run any model locally in one command (MIT) →
ollama.com
• llama.cpp — the engine under Ollama, LM Studio & Jan →
github.com/ggml-org/llama.cp…
• vLLM — production serving, the throughput king →
github.com/vllm-project/vllm
• Open WebUI — self-hosted ChatGPT UI for local models →
github.com/open-webui/open-w…
🧠 MODELS — 5 worth running (mid-2026)
• DeepSeek V4 — leaderboard king. 1M context, MIT. Agentic long-context.
• Kimi K2.6 — #1 open on Artificial Analysis. Agent swarms, long autonomous runs.
• GLM-5.1 — best all-round agentic coder. Cleanest MIT.
• Qwen3.6 — best small dense coder. Apache 2.0. Your license-clean workhorse.
• MiniMax M3 — newest. Frontier coding 1M ctx multimodal. 59% on SWE-Bench Pro.
↳ Laptop-local? Gemma 4 12B runs in 16GB RAM.
👤 BUILDERS — follow these 5 right now
•
@danielhanchen — Unsloth. 10M downloads/mo. Fine-tune 2x faster, 80% less VRAM.
•
@ggerganov — llama.cpp / ggml. The reason AI runs on your own hardware.
• @Teknium1 —
@NousResearch Research. Fastest growing AI agent. Hermes models open datasets.
•
@reach_vb — Hugging Face. The fastest feed for new open drops.
•
@ClementDelangue — HF CEO. The institutional voice of open AI.
Special mentions to my favorite creators (
@thdxr (
@opencode),
@0xSero (
local.ai) and
@neural_avb
on just awesome learning content.
Notice something? Four of the top five models are from Chinese labs.
The rest of the world needs serious catch up!
Save this one. 🔖
#OpenSourceAI #LLM #LocalLLM #BuildInPublic