nvidia/GLM-5.3-Flash-FP4-Local
New image-text-to-text model. Tags: Model Optimizer, glm5_next, nvidia, ModelOpt, GLM-5, quantized, FP4, fp4
Buscar
11.611
New image-text-to-text model. Tags: Model Optimizer, glm5_next, nvidia, ModelOpt, GLM-5, quantized, FP4, fp4
Assine o Pro, sem anúncios
Faça upgrade para uma leitura sem interrupções e acesso prioritário a novas fontes.
Ver preçosNew image-text-to-text model. Tags: gguf, deepseek, deepseek_v41, unsloth, image-text-to-text, base_model:deepseek-ai/DeepSeek-V4.1-Flash-1017, base_model:quantized:deepseek-ai/DeepSeek-V4.1-Flash-1017, license:mit
On Tuesday, US District Judge Zachary Bluestone dismissed the lawsuit Ann Altman filed last year alleging that her brother, OpenAI CEO Sam Altman, had sexually…
The proposed policy seems to offer protections against AI run amok but actually forbids federal agencies from blocking a model's release without the permission of…
Before you share the Netflix documentary "AI Gone Rogue" take note. Clem Delangue, Hugging Face's co-founder who is featured in the film, says it went…
Google is bringing Personal Intelligence to Gemini AI in your car. With this update, Gemini in Android Auto and cars with Google built-in can tap…
Anthropic is reportedly struggling to secure enough compute from cloud providers that increasingly view it as a competitor, even as its infrastructure spending balloons ahead…
Learn how i14 trained and served Laplace 3B, a linear attention model, on AWS Trainium2 using native PyTorch. Its recurrent state stays fixed at 29.5 MB per sequence regardless of context length, avoiding the growing key-value cache of transformer models and keeping serving memory predictable.