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.
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
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
Turkcell LLM 7B v1
commercial Turkish enterprise chat
Malhajar Mistral 7B Turkish
Turkish long-context chat on consumer GPUs
Mistral Turkish v2 (brooqs)
Turkish Mistral chat when Ollama convenience matters
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.