Local LLM releases

Open-weight agentic model from MiniMax focused on real-world software engineering, office tasks, tool use, and self-improving training workflows.

Dense 27B that punches far above its weight on agentic coding — easy to self-host on a single GPU node.

Efficient V4 companion model with 284B total / 13B active parameters and the same one-million-token context window.

Tencent Hunyuan open-weight fine-grained MoE model with 80B total parameters and 13B active parameters, optimized for agentic tool use.

Google DeepMind's Gemma 4 advanced-reasoning open model for personal computers, part of the April 2026 Gemma 4 family.

Open-weight hybrid Mamba-Transformer MoE designed for collaborative agents and high-volume enterprise workflows.

StepFun's Apache-licensed sparse MoE model for fast agentic execution, coding, math, browsing, and tool-use workflows.

Apache-licensed Indian-context MoE from Sarvam AI, optimized for reasoning, coding, agentic tasks, and 22 Indian languages.

Apache-licensed Qwen3-Next coding-agent model with 80B total / 3B active parameters, 256K context, and long-horizon tool-use training.

Ai2's fully open thinking model with public weights, code, data, checkpoints, and training details across the OLMo 3 pipeline.

Efficient Nemotron 3 MoE checkpoint for agentic reasoning and coding, activating about 3B parameters while supporting 1M-token contexts.

Liquid AI hybrid model for efficient CPU/GPU/NPU local deployment, using short convolutions plus attention blocks.

MIT-licensed hybrid linear-attention model using Kimi Delta Attention, built for million-token contexts with much lower KV-cache usage.

Google's open multimodal model: 128k context, 140+ languages, runs on a single GPU.

ByteDance Seed's Apache-licensed long-context reasoning and agent model, with controllable thinking budgets and a native 512K context.

Vision-language GLM based on GLM-4.5-Air, covering image, video, document, grounding, and GUI-agent tasks.

Smaller gpt-oss reasoning model optimized for local inference on systems with about 16GB of memory.

OpenAI's larger open-weight reasoning model, a 117B-total / 5.1B-active MoE with 128K context for local and self-hosted deployment.

A hybrid attention + state-space-model (SSM) design that matches 70B-class models with fewer parameters.

Compact GLM-4.5 companion with 106B total / 12B active parameters for efficient agentic reasoning and coding.

LG AI Research's unified model with non-reasoning and reasoning modes, agentic tool use, and English, Korean, and Spanish support.

Hugging Face's fully open 3B multilingual long-context model with optional reasoning mode and 128K context.

Updated MIT-licensed Kimi-VL reasoning model with better multimodal reasoning, video understanding, high-resolution perception, and lower thinking-token use.

MIT-licensed coding LLM trained with repository-level reinforcement learning for software issue resolution.

Open-weight 24B reasoning model from Mistral's Magistral family, popular for local reasoning experiments.

Phi-4 reasoning-specialized model family for math, science, and chain-of-thought style tasks.

Granite 3.3 text update for enterprise chat, RAG, and instruction-following workflows.

Open audio foundation model for audio understanding, generation, speech recognition, audio QA, captioning, and speech conversation.

Efficient MIT-licensed vision-language MoE for OCR, image/video understanding, long documents, and OS-style agent tasks.

Open Llama Nemotron reasoning model from NVIDIA's 2025 Nemotron family.

Local omni-modal Qwen model that supports text, image, audio, video, and speech generation in a 7B package.

Apache-licensed Small update adding vision and a 128K context window to the efficient 24B line.

A fully open model — weights, data, and training code all public — and the first such to beat GPT-3.5 / GPT-4o mini.

Granite 3.2 update with reasoning controls and multimodal/document-oriented Granite variants.

MIT-licensed 16B/3B-active MoE trained with Moonshot's scalable Muon optimizer experiments.

Nous reasoning-oriented Hermes model trained to combine concise answers with optional deep reasoning traces.

Popular local assistant model tuned for coding, math, function calling, and agentic workflows.

A latency-optimized 24B dense model under Apache-2.0 — a popular local-deployment workhorse.

Vision-language Qwen2.5 model for image, document, video, and agentic visual grounding tasks.

IBM's enterprise-focused open model with a 128k context, Apache-2.0 licensed.

UAE's TII open model designed to run on light infrastructure, including laptops.

Cohere's smallest, fastest R-series model, tuned for RAG and tool use on modest hardware.

A 14B dense model that rivals far larger ones on math and reasoning, under a permissive MIT license.

EXAONE 3.5 32B open-weight model for bilingual reasoning, coding, and long-context tasks.

Late-2024 70B Llama update delivering much of the 405B instruction-following quality at lower serving cost.

Qwen's first public reasoning-preview model, aimed at math, coding, and deliberate problem solving.

Code-specialized Qwen2.5 model family, with the 32B checkpoint as the flagship open coding model.

Compact on-device model family trained on 11T tokens, popular for lightweight local chat and experimentation.

Sarvam's 2B open model trained for ten major Indian languages.

Apache-licensed Granite 3.0 text model, part of IBM's push toward enterprise-friendly open models.

NVIDIA-tuned Llama 3.1 70B instruction model optimized with Nemotron reward and alignment recipes.

Open multimodal model family trained for strong image understanding, pointing, and visual grounding.

Broad Qwen2.5 foundation-model update spanning general, coding, math, and multimodal descendants.

Mistral's first open multimodal model, adding image understanding to a Mistral text backbone.

01.AI's compact code model trained for repository-scale programming and code completion tasks.

Fully open sparse MoE model with 7B total and about 1B active parameters.

Phi-3.5 mixture-of-experts model, scaling Microsoft's small-model line while preserving efficient active parameters.

LG's first open-weight EXAONE model, a compact bilingual instruction model for Korean and English.

8B vision-language model for local image, multi-image, OCR, and video understanding, with llama.cpp and Ollama support.

Apache-licensed 12B model co-developed with NVIDIA, including a 128K context window and strong multilingual tokenization.

Second-generation Gemma model, improving open-weight quality and efficiency at 9B and 27B sizes.

Qwen2's largest dense model, introducing stronger multilingual support, coding/math gains, and long-context variants.

Open GLM-4 9B model family, covering chat, long-context, and code-oriented variants.

Mistral's first code-specialized model, trained for code generation, fill-in-the-middle, and multi-language programming tasks.

Open multilingual research model covering 23 languages, released by Cohere For AI.

Yi 1.5 update with stronger instruction following, coding, math, and multilingual performance.

Falcon 2 generation, including text and vision-language 11B models under a permissive TII license.

Apache-2.0 code model from IBM's Granite Code family, used for local code generation and enterprise coding assistants.

3.8B-parameter Phi-3 model released as a phone-capable small model with 4K and 128K variants.

First Llama 3 release, with 8B and 70B open models and a stronger tokenizer, data mix, and post-training stack.

Open code-specialized Gemma model for local code completion, generation, and instruction-following.

First Jamba hybrid Transformer-Mamba MoE model with open weights and a 256K context length.

Next-generation BigCode code model trained on 4T+ tokens and 600+ programming languages, with 16K context.

First Gemma open-weight text model family, derived from the same research lineage as Gemini.

Ai2's first fully open language model release, including weights, training data, code, logs, and intermediate checkpoints.

Small multilingual Stable LM release built for low hardware barriers and local experimentation.

Early DeepSeek sparse MoE research model that foreshadowed the later V2/V3 architecture direction.

Nous instruction-tuned Mixtral model with strong open-chat and tool-use adoption.

Compact Mistral-based local chat model trained with C-RLFT, popular in early 2024 local leaderboards.

Compact Llama-style 1.1B chat model trained for local experimentation and low-memory deployments.

2.7B-parameter Phi model showing strong reasoning and language understanding at small scale.

Sarvam AI's first open Indic language model, adapted from Llama 2 for Hindi and Indian-language work.

The open sparse Mixture-of-Experts that brought MoE efficiency to the open ecosystem.

Alibaba's first major open Qwen model and the start of a prolific open-weight line.

First general DeepSeek language model family, with 7B and 67B base/chat checkpoints.

01.AI's strong bilingual open model, with a 200k-context variant.

DeepSeek's first public code-model family, released before the general DeepSeek LLM line.

Open vision-language assistant and one of the most widely run early local multimodal models.

The 7B that punched far above its weight and put Mistral on the map.

Second open Qwen size, expanding the first-generation Qwen language-model lineup.

IBM's early Granite foundation model family for enterprise language and code tasks.

Meta's first code-specialized Llama model family, released in base, Python, and instruction-tuned variants.

Alibaba's first open Qwen checkpoint and the start of the Qwen open-model line.

Early Nous Hermes instruction model on Llama 2, widely used in the open-model fine-tuning ecosystem.

The release that made capable open-weight models genuinely usable for production.

Second open ChatGLM generation, improving long context, inference efficiency, and bilingual chat quality.

Microsoft's first Phi small-language-model release, demonstrating strong code performance from textbook-quality synthetic data.

TII's breakout open Falcon model, released before Falcon 180B and trained on the RefinedWeb corpus.

MosaicML's permissively licensed 7B model, an early favorite for commercial local fine-tuning and long-context variants.

LMSYS instruction-tuned LLaMA model that became a landmark early local ChatGPT-style assistant.

Zhipu AI and Tsinghua KEG's first widely used open bilingual ChatGLM checkpoint.

Meta's first LLaMA, released to researchers; its leak catalyzed the open-weight movement.

Initially withheld over misuse fears, then fully released in Nov 2019 — an early 'limited release' debate.

The bidirectional encoder that reshaped NLP and seeded the transformer era.