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 (12)
Models matching your filters. Clear filters by clicking “Any” on each row above, or remove individual filters via the URL.
Qwen3.5 9B
multilingual chat and coding on 8-12GB GPUs
Qwen 3 7B
consumer-tier reasoning on 8GB+ GPUs
Qwen 3 Embedding 8B
permissively-licensed embeddings at 8B
Qwen 3 8B
consumer-tier reasoning toggle
Qwen 2.5-VL 7B
consumer-tier OCR + image Q&A
Qwen 2.5 Coder 14B Instruct
16GB-VRAM coding
Qwen 2.5 Coder 7B Instruct
consumer-tier coding at 8GB VRAM
Qwen 2.5 14B Instruct
16GB-VRAM general chat with multilingual depth
Qwen 2.5 Math 7B
consumer-tier math problem solving
Qwen 2.5 7B Instruct
consumer-tier multilingual chat
Qwen 2-VL 7B
consumer-tier multimodal — pre-2.5-VL baseline
CodeQwen 1.5 7B
historical reference — Qwen 2.5 Coder 7B is the modern pick
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.