zai-org/GLM-5.2 · 仓库更新
模型仓库动态。仓库创建:2026-06-16T07:39:20.000Z。最后修改:2026-09-01T11:36:01.000Z。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。
追踪开放权重模型、开源 AI 工具和可复核的仓库更新。
模型仓库动态。仓库创建:2026-06-16T07:39:20.000Z。最后修改:2026-09-01T11:36:01.000Z。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:2026-08-31T06:16:18.000Z。最后修改:2026-09-01T09:22:10.000Z。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-text-to-text。
模型仓库动态。仓库创建:2026-08-24T08:25:23.000Z。最后修改:2026-08-31T08:19:15.000Z。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-text-to-text。
模型仓库动态。仓库创建:2026-08-24T08:24:59.000Z。最后修改:2026-08-27T05:03:36.000Z。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-text-to-text。
## What's Changed * MLX: Qwen3.8 Flash Next support * cmake: make external compat patches idempotent * MLX and llama.cpp update * mlxrunner: add structured output support * mlxrunner: avoid Metal GPU timeouts when loading models from slow storage ## New Contri
# Release v5.16.0 ## New Model additions ### Qwen4-Exp Qwen4-Exp builds on Qwen3.5's hybrid text and multimodal architecture with three key components: GatedResidual (GR), Qwen Sparse Attention (QSA), and Per-Layer Embedding (PLE). GR is a Qwen-developed resid
# Release v5.16.1 This is a special release as we include GLM! (and a few small fixes) # GLM-5.3-Flash GLM-5.3-Flash, the first **natively multimodal model** in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2
### Summary of major features and improvements * Functionally enabled Muse-Glimmer-30B model: * Model card and IR available: [OpenVINO/Muse-Glimmer-30B-int4-ov · Hugging Face](https://huggingface.co/OpenVINO/Muse-Glimmer-30B-int4-ov) * Notebooks to try: * [Mus
# v0.28.0 ## Highlights This release features 584 commits from 270 contributors (76 new)! * **Kimi-K3 performance push**: a major optimization effort for Kimi-K3 across the stack — Decode Context Parallel (DCP) support (#50484), fused FlashKDA decode and prefi
## What's Changed ### Claude Desktop Developers can now easily configure Claude Desktop to seamlessly work with Ollama as a third-party gateway provider. ### Improved caching * Fixed a hang where agent clients that cancel long prefills * Prefill restore points
# Highlights *710 PRs from 212 contributors.* **New models in this release** (see the [cookbook](https://docs.sglang.io/cookbook) for all supported models): | Model | Type | PRs | Cookbook | |---|---|---|---| | Muse Glimmer | Autoregressive (Multimodal) | [#34
来源标注日期:2026-08-21(未提供具体时刻)。 Today, the new multimodal vision understanding model DeepSeek-V4-Flash-Vision-Exp is now available on the DeepSeek API platform. This is an experimental model that can be accessed by setting model='deepseek-v4-flash-vision-exp'. Ter
模型仓库动态。仓库创建:2026-05-23T01:17:47.000Z。最后修改:2026-08-20T21:49:20.000Z。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。
## What's Changed * New desktop onboarding flow on first launch * Caches resolved model metadata between requests, cutting time-to-first-token by roughly half (TTFT dropped from ~995 ms to ~524 ms in benchmarks) * Fixes a bug where chat and generate could wedg
NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they...
## What's Changed * llm: transcode WebP images for llama-server * renderers/qwen: tolerate non-leading system messages **Full Changelog**: https://github.com/ollama/ollama/compare/v0.32.13...v0.32.14
模型仓库动态。仓库创建:2026-08-05T08:22:59.000Z。最后修改:2026-08-14T15:00:01.000Z。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-text-to-text。
模型仓库动态。仓库创建:2026-08-13T08:01:58.000Z。最后修改:2026-08-14T14:44:41.000Z。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-text-to-text。
## What's Changed * Fix KSamplerAdvanced with add_noise disabled on nested latents by @kijai in https://github.com/Comfy-Org/ComfyUI/pull/15447 * Update workflow templates to v0.11.40 by @comfyui-wiki in https://github.com/Comfy-Org/ComfyUI/pull/15522 * chore:
模型仓库动态。仓库创建:2026-08-13T03:05:06.000Z。最后修改:2026-08-13T16:28:28.000Z。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。 任务:text-generation。
来源标注日期:2026-08-13(未提供具体时刻)。 The GA release of DeepSeek-V4-Pro has been rolled out on the APP, Web, and API. The API calling method remains unchanged — simply set the model name to deepseek-v4-pro to use the latest version. Significantly enhanced Agent capabili
模型仓库动态。仓库创建:2026-08-08T01:50:52.000Z。最后修改:2026-08-12T10:24:04.000Z。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:2026-08-08T01:49:49.000Z。最后修改:2026-08-12T10:23:42.000Z。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。
## What's Changed * Make it easier to debug nested tensors. by @comfyanonymous in https://github.com/Comfy-Org/ComfyUI/pull/15383 * Update workflow templates to v0.11.37 by @comfyui-wiki in https://github.com/Comfy-Org/ComfyUI/pull/15415 * Minimum officially s
### Summary of major features and improvements * #### More GenAI coverage and framework integrations to minimize code changes * New models supported: * On CPU, GPU, and NPU: SmolLM3-3B, LFM2-1.2B, LFM2.5-1.2B * On CPU and GPU: Harrier OSS-v1-0.6B, Qwen3-8B wit
模型仓库动态。仓库创建:2026-02-11T04:55:46.000Z。最后修改:2026-08-11T07:36:34.000Z。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。
# vLLM v0.27.0 Release Notes ## Highlights This release features 561 commits from 242 contributors (64 new)! * **Kimi K3 support** with a full stack landing in one release: core model files and kernels (#50089, #50000), Python (#50093) and Rust (#50104) fronte
Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure. The post O
模型仓库动态。仓库创建:2026-07-31T07:30:24.000Z。最后修改:2026-08-01T03:07:41.000Z。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。
来源标注日期:2026-07-31(未提供具体时刻)。 The official release of the DeepSeek-V4-Flash API is now in public beta. The API calling method remains unchanged — simply set the model name to deepseek-v4-flash to use the latest version. Significantly enhanced agent capabilities,