apache-2.0
InternLM releases Intern-S2, a 397-billion-parameter open science model that is a 406 GB download even in FP8 News
The InternLM team released Intern-S2-397B under Apache 2.0 on 11-13 September 2026, a multimodal mixture-of-experts model aimed at scientific reasoning and long agent tasks; the FP8 weights are a 406.3 GB download and the recommended setup is a node of eight H100 or H200 GPUs.
Agnes 3.0 Flash's open weights are a 33B preview, not the model behind its leaderboard score News
Agnes AI released open weights for a 33-billion-parameter multimodal Agnes 3.0 Flash under Apache 2.0 on 11 September 2026, but its model card says these are an earlier preview checkpoint and that the leaderboard score circulating with them belongs to a different production model.
speech-to-speech Tool
Hugging Face's modular local voice-agent pipeline - voice detection, speech recognition, a language model and text-to-speech chained together, with an OpenAI Realtime-compatible websocket so existing clients can point at it.
TurboFieldfare Tool
A Swift and Metal runtime that runs Gemma 4's 26B model on an 8GB MacBook Air by keeping a 1.35GB core resident and streaming the rest of the experts off the SSD. Ships as a Mac app, a CLI and an OpenAI-compatible local server.
SenseNova-U1.5-8B-MoT Tool
Apache 2.0 model that generates and edits images without a vision encoder or latent autoencoder, working on pixels directly. Handles natural-language edits, multi-image references, insertion and replacement, and region control via bounding boxes; ships quantized and offload paths for 24 GB-class GPUs.
Nex-N2.5-mini Tool
The smaller sibling of Nex-N2.5-Pro, released 8 September under Apache 2.0: 35 billion parameters, a 70.2 GB download.
Nex-N2.5-Pro Tool
Released 8 September under Apache 2.0: a 397-billion-parameter model from Nex AGI aimed at agentic work such as computer use and browsing. The repository's files total 407 GB.
Muse Glimmer 30B Tool
Meta's 30-billion-parameter open-weight agent model under Apache 2.0, built for always-on local workflows with text and image input, tool use, a context window past 131,000 tokens, and a speculative decoder that drafts sixteen words at a time. Full weights, quantized builds, and the drafter are all in the release.
LateOn Tool
LightOn's late-interaction counterpart to DenseOn - it keeps a vector per token instead of one per document, which costs more storage but retrieves noticeably better on hard queries.
K2 Horizon (IFM) Tool
Six Apache 2.0 models from 375B-A23B down to 0.9B, sharing architecture, vocabulary and training methodology, with 512K context on all but the smallest. The 36B-A4B is a 74.9 GB bf16 download or 48.4 GB in FP8, with a serving recipe validated on two H200 GPUs. Upstream llama.cpp support is still in progress.
Inkling Tool
Thinking Machines Lab's 975B-parameter mixture-of-experts model, released July 15 under Apache 2.0. Only ~41B parameters activate per token, it accepts text, image and audio input, and it handles up to 1M tokens of context. Artificial Analysis ranks it the top US open-weights model. Free to download, modify and use commercially -- but you will need serious hardware to run it.
Grok Build Tool
xAI's agentic coding harness and terminal interface, published under Apache 2.0. Genuinely useful if you want to read how a frontier lab wires a production coding agent, and the license lets you fork and ship it. Note the governance: the contributing guide says external contributions are not accepted, and the repo is a one-way bot-pushed mirror of an internal monorepo.
Evoke Tool
Open-weights 14B world model that generates a navigable video world you can steer with a camera and text mid-session, keeping scene geometry in an external memory bank so places stay consistent when you look back. Apache 2.0, with every training-stage checkpoint published, not just the final one.
DenseOn Tool
A fully open 149-million-parameter dense retrieval model from LightOn for multilingual, long-context and code search, released with its training data and training code rather than weights alone.
Codex Harness Tool
The Apache 2.0 agent runtime behind OpenAI's Codex, usable directly if you would rather run the loop yourself than buy the managed version. Ships as a CLI for bounded jobs, an SDK for programmatic control, and an app-server for persistent threads with human approvals.
Cloudflare OS Tool
Open-source platform where agents never hold credentials: a Gatekeeper does the OAuth and hands the agent a typed capability scoped to one resource, and every user-built app runs sandboxed with its own SQLite state. Runs locally on workerd for evaluation, or deploys into your own Cloudflare account.
Agnes-3.0-Flash (Preview) Tool
Agnes AI's 33-billion-parameter text, image and video model, released 11 September under Apache 2.0, with a 262,144-token context and a hybrid recurrent-plus-attention design. A 66.2 GB bf16 download; the model card asks for one NVIDIA H200 (141 GB) or H100 (80 GB) plus 128 GB of host memory, and a community Q4_K_M GGUF is 19.75 GB. It is a Preview checkpoint: the Artificial Analysis score belongs to a different API model.
ADR Tool
Uber's runtime detector for coding agents, watching what agents actually do on developer machines rather than filtering prompts. Reported 206 credential exposures at 97.2 percent precision across 7,200 hosts, and ships with ADR-Bench, a 300-task benign-versus-malicious evaluation set.