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RUNLOCALAI · v38
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Frontier zone · Model releases

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.

By Fredoline Eruo · Refreshed continuously from catalog seed
Filter
Family
AnyQwenLlamaDeepSeekMistralGemmaPhiGLMOLMo
Deployment
AnyEdgeConsumerWorkstationDatacenterFrontier
Modality
AnyMultimodalText-only
Coverage
AnyL1.25 enrichedNeeds L1.25Needs benchmark

Filtered results (7)

Models matching your filters. Clear filters by clicking “Any” on each row above, or remove individual filters via the URL.

Gemma 4 E4B (Effective 4B)

Google · 2026-04-02
4Bedge

edge-tier Gemma 4 — laptop friendly

BenchmarkVerdictMultimodal

Gemma 4 E2B (Effective 2B)

Google · 2026-04-02
2Bedge

phone-tier Gemma 4

BenchmarkVerdictMultimodal

Gemma 3 4B

Google · 2025-03-12
4Bedge

edge-tier chat — Apple Silicon laptop friendly

BenchmarkVerdictMultimodal

Qwen 2.5-VL 3B

Alibaba · 2025-01-26
3Bedge

edge-tier multimodal

VerdictMultimodal

Whisper Large v3 Turbo

OpenAI · 2024-10-01
0.81Bedge

real-time / batch transcription

VerdictMultimodal

Phi-3.5 Vision

Microsoft · 2024-08-20
4.2Bedge

edge-tier vision-language Phi

VerdictMultimodal

Moondream 2

vikhyat (community) · 2024-07-22
1.9Bedge

edge / phone-tier vision Q&A

VerdictMultimodal

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.