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 (15)
Models matching your filters. Clear filters by clicking “Any” on each row above, or remove individual filters via the URL.
Mistral Medium 3 24B (dense)
research / non-commercial workstation deployments
Mistral Small 3.2 24B
consumer-tier multilingual instruction-following
Devstral Small 2 24B
Apache 2.0 coding alternative to Qwen 2.5 Coder
Mistral Saba 24B
Arabic / South-Asian multilingual
Mistral Small 3 24B
consumer-tier multilingual instruction-following — Mistral's instruction-tuned baseline at 24B
Ministral 8B Instruct
consumer-tier long-context — research only
Pixtral 12B
consumer-tier vision-language Mistral
Mistral Nemo 12B Instruct
consumer-tier long-context multilingual
Codestral Mamba 7B
long-context coding workloads where memory matters
Mistral 7B Instruct v0.3
lightweight European-multilingual chat
Ministral 3 14B
general chat with vision on 16GB GPUs
Turkcell LLM 7B v1
commercial Turkish enterprise chat
Mistral Turkish v2 (brooqs)
Turkish Mistral chat when Ollama convenience matters
Malhajar Mistral 7B Turkish
Turkish long-context chat on consumer GPUs
Kumru 2B
fast Turkish edge chat
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.