Open Source LLMs are language models released with weights, code, or permissive access that builders can inspect, fine-tune, or self-host. GROUNDING tracks open model releases, inference stacks, and benchmarks.
Topic: Models Related: Code Agents RAG
Recent Updates
- 2026-06-05: Practical Guide: Deploying Qwen3.6-27B on Dual Tesla V100 GPUs (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · habr.com — Nous Research Tesla Intel NVIDIA 1CatAI Qwen3.6-27B
- 2026-06-05: General Instinct Launches InstinctRazor for Frontier Model Edge Deployment (Hacker News) · news.ycombinator.com — General Instinct Y Combinator Alibaba Google Guanming Bill Qwen3.5-122B-A10B Gemma-4-26B-A4B
- 2026-06-05: Gemma 4 QAT Models Released for Efficient Local Inference (Hacker News) · blog.google — Google Hugging Face Gemma 4 Gemma 4 E4B Gemma 4 26B MOE Gemma 4 12B Gemma 4 E2B
- 2026-06-06: Running Local Multimodal Vision: Gemma 4 on MacBook M3 (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · habr.com — Google Apple Hugging Face Gemma 4 12B Unified
- 2026-06-06: Job Searcher: An Automated Resume-to-Job Matching Framework (Hugging Face - Blog) · huggingface.co — Hugging Face LinkedIn DeepSeek Modal DeepSeek V4 Pro Qwen3-8B
- 2026-06-06: Five Labs, Five Minds: Engineering Lessons from Multi-Model Agent Systems (Hugging Face - Blog) · huggingface.co — Hugging Face OpenAI OpenBMB NVIDIA gpt-oss-20b MiniCPM3-4B Nemotron-Mini-4B Qwen 0.5B
- 2026-06-06: Microsoft MAI-Thinking-1, Google Gemma 4, and Ideogram 4.0 Released (Latent.Space) · latent.space — Microsoft Google Ideogram MAI-Thinking-1 Gemma 4 12B Ideogram 4.0 Sonnet 4.6 GPT-Image-2 GPT-5.4 MAI-Image-2.5 MAI-Code-1-Flash Miso One
- 2026-06-06: NVIDIA’s Nemotron 3 Ultra/3.5 ASR and Anthropic RSI Metrics (Latent.Space) · latent.space — NVIDIA Anthropic OpenAI SpaceXAI Andon Labs ArtificialAnlys vLLM Modal Together Fireworks Ollama Baseten CoreWeave W&B Cline Prime Intellect Nous Portal fal Pavlo Molchanov Piotr Zelasko Alex Albert Nemotron 3 Ultra Nemotron 3.5 ASR Claude Opus 4 Mythos Preview kimi-k2.6
- 2026-06-06: My Workflow for Understanding LLM Architectures (Ahead of AI) · magazine.sebastianraschka.com — Hugging Face
- 2026-06-08: Reversible Foundations: Training a 120B Sparse MoE on a Single Eight-GPU Node (cs.LG updates on arXiv.org) · arxiv.org — LightningLM 0.1V
- 2026-06-08: Running DeepSeek Locally with LM Studio (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · habr.com — DeepSeek LM Studio Meta Alibaba Google Microsoft Mistral AI DeepSeek R1 LLaMA-3 Qwen 3 Gemma 3 Mistral Mixtral Phi
- 2026-06-09: Exploiting Tiny LLMs: Manipulating Persona and Safety via Token Sensitivity (Все статьи подряд / Искусственный интеллект / Хабр) · habr.com — Alibaba vast.ai Qwen3.5-0.8B
- 2026-06-09: Cohere Releases North Mini Code: A 30B Agentic Coding Model (Hugging Face - Blog) · huggingface.co — Cohere Hugging Face Artificial Analysis North Mini Code Qwen3.5 Gemma 4 Devstral Small 2 Nemotron 3 Super Mistral Small 4 Devstral 2
FAQ
What is Open Source LLMs?
Open Source LLMs are language models released with weights, code, or permissive access that builders can inspect, fine-tune, or self-host. GROUNDING tracks open model releases, inference stacks, and benchmarks.
Which topic does Open Source LLMs belong to?
On the GROUNDING radar, Open Source LLMs is grouped under the Models topic.
Which concepts are related to Open Source LLMs?
Related concepts tracked by the radar include Code Agents, RAG.