ByteDance-Seed/BAGEL-7B-MoT · 仓库更新
模型仓库动态。仓库创建:2025-05-19T23:27:50.000Z。最后修改:2026-01-09T09:27:26.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:any-to-any。
国内外 AI 最新资讯、大模型发布与能力更新。
追踪 Agent、MCP、算力与显卡,保留原始来源。
模型仓库动态。仓库创建:2025-05-19T23:27:50.000Z。最后修改:2026-01-09T09:27:26.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:any-to-any。
模型仓库动态。仓库创建:2026-01-06T05:59:42.000Z。最后修改:2026-01-06T07:13:05.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。
Google 2025 recap: Research breakthroughs of the year
模型仓库动态。仓库创建:2025-10-22T13:45:10.000Z。最后修改:2025-12-23T08:37:43.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:text-generation。
> **_NOTE:_** Please continue using OpenVINO 2025.4 release unless you require the specific bug fixes addressed in the 2025.4.1 version. # Summary of improvements * Preview: Mixture of Experts (MoE) models optimized for CPUs and GPUs, validated for GPT-OSS 20B
### Summary of major features and improvements * #### More GenAI coverage and framework integrations to minimize code changes * **New models supported:** * On CPUs & GPUs: **Qwen3-Embedding-0.6B, Qwen3-Reranker-0.6B, Mistral-Small-24B-Instruct-2501.** * On NP
Gemini 3 Flash offers frontier intelligence built for speed at a fraction of the cost.
模型仓库动态。仓库创建:2025-10-30T12:37:31.000Z。最后修改:2025-12-16T14:50:08.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:text-generation。
Open interpretability tools for language models are now available across the entire Gemma 3 family with the release of Gemma Scope 2.
模型仓库动态。仓库创建:2025-12-16T05:27:29.000Z。最后修改:2025-12-16T09:23:36.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:image-feature-extraction。
模型仓库动态。仓库创建:2025-12-16T05:25:29.000Z。最后修改:2025-12-16T09:23:12.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:image-feature-extraction。
模型仓库动态。仓库创建:2025-12-16T05:06:02.000Z。最后修改:2025-12-16T09:22:49.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:image-feature-extraction。
来源已更新,查看详情及原始发布记录。
Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research
模型仓库动态。仓库创建:2025-12-01T12:23:15.000Z。最后修改:2025-12-10T22:28:23.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:other。
Deepening our partnership with the UK government to support prosperity and security in the AI era
Systematically evaluating the factuality of large language models with the FACTS Benchmark Suite.
Scientists are using AlphaFold to strengthen a photosynthesis enzyme for resilient, heat-tolerant crops.
模型仓库动态。仓库创建:2025-12-01T11:41:17.000Z。最后修改:2025-12-01T12:19:13.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。
来源标注日期:2025-12-01(未提供具体时刻)。 Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.2. deepseek-chat corresponds to DeepSeek-V3.2's non-thinking mode deepseek-reasoner corresponds to DeepSeek-V3.2's thinking mode DeepSeek-V3.2-Speciale is se
# ROCm 7.1.1 release notes The release notes provide a summary of notable changes since the previous ROCm release. - [Release highlights](#release-highlights) - [Supported hardware, operating system, and virtualization changes](#supported-hardware-operating-sy
模型仓库动态。仓库创建:2025-06-28T06:12:54.000Z。最后修改:2025-11-26T08:00:12.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:text-generation。
模型仓库动态。仓库创建:2025-06-28T05:37:06.000Z。最后修改:2025-11-26T07:56:56.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:text-generation。
ROCm 7.1.0 release notes The release notes provide a summary of notable changes since the previous ROCm release. - [Release highlights](#release-highlights) - [Supported hardware, operating system, and virtualization changes](#supported-hardware-operating-syst
This release is meant to fix the following issue: Fix sm103 (GB300) support broken by Triton 3.5.0 release (https://github.com/triton-lang/triton/pull/8045)
模型仓库动态。仓库创建:2024-07-21T19:18:13.000Z。最后修改:2025-11-12T21:27:00.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:text-classification。
This release is meant to fix the following issues (regressions / silent correctness): ### Tracked Regressions Significant Memory Regression in F.conv3d with bfloat16 Inputs in PyTorch 2.9.0 ([#166643](https://github.com/pytorch/pytorch/issues/166643)) This rel
模型仓库动态。仓库创建:2025-11-03T21:43:28.000Z。最后修改:2025-11-05T01:15:28.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。
模型仓库动态。仓库创建:2025-10-08T07:23:59.000Z。最后修改:2025-10-24T02:07:00.000Z。仓库修改不等同于模型正式发布。 数据经第三方 Hugging Face 镜像采集,需以原始模型页面复核。 任务:text-generation。
# Triton Release Notes ## Table of Contents - [Dialect & Frontend](#dialect--frontend) - [Backend & Compiler](#backend--compiler) - [AMD/HIP Backend](#amdhip-backend) - [NVIDIA Backend](#nvidia-backend) - [Gluon & Layout Improvements](#gluon--layout-improvemen