nex-agi releases Nex-N2.5-mini, a 35B model, on Hugging Face
A Reddit post links to a Hugging Face model page for Nex-N2.5-Max from nex-agi, describing it as a new Nex benchmark model that "seems like good". No launch post or benchmark numbers accompany the link, so the post alone documents the model's availability rather than a formal release announcement.
A Reddit post links to a Hugging Face model page for Nex-N2.5-Max from nex-agi, describing it as a new Nex benchmark model that "seems like good". No launch post or benchmark numbers accompany the link, so the post alone documents the model's availability rather than a formal release announcement.
InternLM released Intern S2 Mobius, a model derived from Qwen3.5-35B, featuring an architectural difference that reportedly increases throughput and reduces token consumption. The model is available on Hugging Face.
InternLM released Intern S2 Mobius, a model derived from Qwen3.5-35B, featuring an architectural difference that reportedly increases throughput and reduces token consumption. The model is available on Hugging Face.
MiniCPM-V-4.7-35B-A3B appears on Hugging Face with no model card
MiniCPM-V-4.7-35B-A3B appears on Hugging Face with no model card
Liquid AI released LFM 2.5 QAD, a quantized version of its Liquid Foundation Model, with a 2.6B parameter GGUF file available on Hugging Face. The release was announced via a tweet from Liquid AI's official account.
Liquid AI released LFM 2.5 QAD, a quantized version of its Liquid Foundation Model, with a 2.6B parameter GGUF file available on Hugging Face. The release was announced via a tweet from Liquid AI's official account.
NVIDIA has released Nemotron 3.5 Lightning, a 30B-parameter mixture-of-experts model with 3B active parameters, designed for fast and efficient long-running agentic AI workloads. The release includes BF16 and NVFP4 quantized versions on Hugging Face, positioning it as the highest-efficiency model in its class for specialized tasks within multi-agent systems.
NVIDIA has released Nemotron 3.5 Lightning, a 30B-parameter mixture-of-experts model with 3B active parameters, designed for fast and efficient long-running agentic AI workloads. The release includes BF16 and NVFP4 quantized versions on Hugging Face, positioning it as the highest-efficiency model in its class for specialized tasks within multi-agent systems.