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Wednesday5 items

Tuesday6 items

  1. jensenhuangModel releases
    AI score35

    English translation is being prepared.

    Quoted postNVIDIA AI · @NVIDIAAI

    Introducing NVIDIA Nemotron 3.5 Lightning⚡ An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster. It delivers up to 4x the output speed of similar-sized models. https://t.co/ENWrZe76pU

    Same story · 2 reports

    #Model releases#Agents#Open-source ecosystem

  3. Ant Ling: Developer BlogFirst-partyModel releases
    AI score68

    Ant Ling Open-Sources Ling-3.0-tiny: 7.9B Total Parameters, 1.3B Activated Parameters

    Ant Ling has officially open-sourced Ling-3.0-tiny, a native hybrid reasoning model with 7.9B total parameters that activates only 1.3B parameters during inference, available in BF16, FP8, and INT4 versions. The company says it scores 25 on the Artificial Analysis Intelligence Index and 16 on the Agentic Index, with output speed exceeding 160 tokens/s. The model can run FP8 inference on a single NVIDIA DGX Spark with weights of about 7.85GB, and has been adapted for local execution on Apple Silicon MacBook and Mac mini.

    English text is being prepared.

    #Model releases#Open-source ecosystem#Reasoning

Monday6 items

  2. UnslothFirst-partyModel releases
    AI score79

    Meta open-sources 30B model Muse Glimmer, runs locally on 18GB of memory

    Meta open-sources Muse Glimmer, a 30B-parameter dense model that runs on local devices with 18GB of memory, uses the Apache 2.0 license and supports vision. Mark Zuckerberg calls it the strongest agent model at its size and says the weights of the latest foundation model Muse Spark 1.2 will also be open-sourced later. Unsloth already provides a GGUF version of the model along with running and training guides.

    Quoted postMark Zuckerberg · @finkd

    Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats to @alexandr_wang and the MSL team for all your great work on these models.

    Same story · 3 reports

    #Model releases#Open-source ecosystem#Meta

  4. Fireworks AIFirst-partyModel releases
    AI score72

    Meta's Muse Glimmer 30B Launches on Fireworks, Targeting Persistent Agents

    Fireworks has launched Meta's Muse Glimmer 30B dense model under the Apache 2.0 license, supporting 128K+ token context and native image understanding, targeting persistent agents that require multi-turn tool calling. The model scores 75.5 on MCP Atlas, 74.6 on DeepSearch QA, and 51.2 on SWE-Bench Pro, all higher than the corresponding results of Gemma 4 31B and Qwen 3.6 27B; these benchmark figures are reported by Meta. Fireworks also provides recommended settings of temperature 1.0, top_p 0.95, and top_k 64, and supports adjusting reasoning intensity in the system prompt.

    Same story · 2 reports

    #Product updates#English text is being prepared.#Agents

Friday2 items

  1. Ant Ling: Developer BlogFirst-partyModel releases
    AI score75

    Ant Ling Open-Sources Ling-3.0-flash Hybrid Reasoning Model

    Ant Ling has open-sourced Ling-3.0-flash, a new-generation native hybrid reasoning model built on a MoE architecture with 124B total parameters and 5.1B activated parameters, and is simultaneously releasing a base version along with multiple precision versions including FP8, FP4, and INT4. The model supports three deployment approaches: cloud API calls, end-to-end local inference on a single NVIDIA DGX Spark using the MXFP4 or INT4 version, and high-performance deployment achieving an average output rate exceeding 1100 tokens/s under designated GPU test configurations. On the Artificial Analysis leaderboard, its output speed is 353 tokens/s, and in the AA Intelligence Index, the weighted average invocation cost per task is approximately $0.04.

    English text is being prepared.

    #Model releases#Open-source ecosystem#Reasoning

Thursday1 items

Tuesday4 items