deepseek-ai/DeepSeek-V4.1-Flash · 仓库更新
模型仓库动态。仓库创建:2026-09-10T02:17:58.000Z。最后修改:2026-09-10T08:18:10.000Z。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。
汇集视觉、图像生成、视频生成、语音与多模态模型新消息。
模型仓库动态。仓库创建:2026-09-10T02:17:58.000Z。最后修改:2026-09-10T08:18:10.000Z。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。
## Verify Docker Image Signature All LiteLLM Docker images are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). Every release is signed with the same key introduced in [commit `0112e53`](https://github.com/BerriAI/litellm/commit/0112e53046018d
来源标注日期:2026-09-10(未提供具体时刻)。 Today, we officially release the DeepSeek-V4.1-Flash model. It is the smallest model in our new architecture family, with native multimodal visual understanding. The new architecture is designed for a higher capability ceiling, fast
Encode-prefill-decode (EPD) disaggregation is an inference optimization technique for multimodal models that separates the vision encoder stage from the prefill...
## What's Changed * [Partner Nodes] chore(Google): drop retiring Veo 2 and Veo 3.0 models by @bigcat88 in https://github.com/Comfy-Org/ComfyUI/pull/15883 * [Partner Nodes] feat(Recraft): add V4 Styles by @bigcat88 in https://github.com/Comfy-Org/ComfyUI/pull/1
## Verify Docker Image Signature All LiteLLM Docker images are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). Every release is signed with the same key introduced in [commit `0112e53`](https://github.com/BerriAI/litellm/commit/0112e53046018d
Status: Resolved All impacted services have now fully recovered. Affected components Images (Operational) Image Generation (Operational)
## Highlight - **Realtime Voice Agent**: Introduced a realtime voice agent with DashScope backends and local transport support. - **A2A Protocol Support**: Added `A2AAgent` class to the agent module, enabling agent-to-agent communication. - **New Pipeline Modu
模型仓库动态。仓库创建:2026-08-25T06:43:14.000Z。最后修改:2026-09-07T12:13:47.000Z。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。
## Verify Docker Image Signature All LiteLLM Docker images are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). Every release is signed with the same key introduced in [commit `0112e53`](https://github.com/BerriAI/litellm/commit/0112e53046018d
# Highlights *786 PRs from 214 contributors.* **New models in this release** (see the [cookbook](https://docs.sglang.io/cookbook) for all supported models): | Model | Type | PRs | Cookbook | |---|---|---|---| | Qwen3.8 (2.4T-A95B) | Autoregressive | [#35758](h
Status: Resolved All impacted services have now fully recovered. Affected components File uploads (Operational) Voice mode (Operational) Conversations (Operational) Image Generation (Operational) Codex Web (Operational)
模型仓库动态。仓库创建:2026-08-25T06:45:05.000Z。最后修改:2026-09-04T06:45:54.000Z。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 * gemma4 now supports images and audio on MLX engine * Report cached prompt tokens * Honor GGUF model defined default parameters * MLX, MLX-C, llama.cpp update ## New Contributors * @marcelpetrick made their first contribution in https://gith
Status: Resolved The issue causing elevated errors across ChatGPT and Codex has been resolved. Some Codex remote control users may need to pair their mobile device again following this incident. Affected components GPTs (Operational) Agent (Operational) CLI (O
Status: Resolved All impacted services have now fully recovered. Affected components GPTs (Operational) Agent (Operational) Connectors/Apps (Operational) Codex in ChatGPT Desktop (Operational) Sites (Operational) Image Generation (Operational) Deep Research (O
模型仓库动态。仓库创建:2026-08-27T08:14:27.000Z。最后修改:2026-09-02T06:31:52.000Z。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:2026-06-13T06:42:57.000Z。最后修改:2026-09-02T02:22:41.000Z。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。
来源已更新,查看详情及原始发布记录。
Collage of images created by Google Pics, with the text "Say hello to Google Pics" on top Built on our latest Nano Banana model, Google Pics — our image creation and editing tool — is now available.
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:2026-05-18T19:38:34.000Z。最后修改:2026-09-01T06:22:00.000Z。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-to-audio。
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。
## What's Changed * fix(formatter): derive audio format from media type by @ump45nose in https://github.com/agentscope-ai/agentscope/pull/2301 * fix(gemini): exclude tool-execution tokens from output_tokens by @iluv7 in https://github.com/agentscope-ai/agentsc
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。
# 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
## What's Changed * Fix minimax music not working on non dynamic vram. by @comfyanonymous in https://github.com/Comfy-Org/ComfyUI/pull/15588 * Add MiniMaxH3AddGuide for anchoring image and audio guides at any frame by @drozbay in https://github.com/Comfy-Org/C
# 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