The frontier of open-weight model releases
Open-weight model releases tracked by RunLocalAI — recent additions, rising families, distill chains, multimodal and reasoning waves. Each card links into the catalog with authority badges (L1.25 enriched · benchmark-backed · verdict) so you can scan editorial coverage at a glance.
Filtered results (9)
Models matching your filters. Clear filters by clicking “Any” on each row above, or remove individual filters via the URL.
Qwen 3.5 235B-A17B (MoE)
frontier-tier reasoning + multilingual serving on multi-machine clusters
Qwen 3 32B
general-purpose reasoning + chat with toggle-style reasoning emission
Qwen 3 14B
16GB-VRAM reasoning workloads with thinking-mode toggle
Qwen 2.5 Coder 32B Instruct
single-user autonomous coding agents on RTX 4090 / 5090 / dual-A100 hardware
Qwen2-VL 2B Instruct
Lightweight document and chart understanding on a consumer GPU
Qwen 3.5 2B Turkish SFT
Qwen 3 1.7B
Edge laptop assistant with reasoning that fits in 2GB VRAM
Qwen3 0.6B Hindi Instruct v1 GGUF
Simple Hindi instruction following on CPU-only devices
Qwen 3 0.6B
Sub-1B on-device chat and tool-calling agent on phones
Going deeper
- Ecosystem maps — structured-landscape views (memory frameworks, inference runtimes, MCP, coding agents).
- Execution stacks — recipes that combine models with runtimes + hardware.
- Frontier index — broader ecosystem-momentum view across coding agents, inference runtimes, memory systems, MCP.
- Benchmarks — measured tokens-per-second + topology fields across hardware/model/runtime triples.