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Anthropic
Results from the first Anthropic Public Record
Anthropic Public Record is a national survey of attitudes and opinions towards AI.
📰 NVIDIA - NVIDIA Achieves Leading Agentic Coding Performance on First Agentic AI Benchmark
AI agents have fundamentally changed the complexity of inference workloads. Until now, the industry has struggled to define a standard for measuring how…
https://developer.nvidia.com/blog/nvidia-achieves-leading-agentic-coding-performance-on-first-agentic-ai-benchmark/
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https://developer.nvidia.com/blog/deploy-long-context-reasoning-and-agentic-workflows-with-minimax-m3-on-nvidia-accelerated-infrastructure/
AI agents have fundamentally changed the complexity of inference workloads. Until now, the industry has struggled to define a standard for measuring how…
https://developer.nvidia.com/blog/nvidia-achieves-leading-agentic-coding-performance-on-first-agentic-ai-benchmark/
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As enterprise AI adoption scales, developers are increasingly forced to stitch together fragmented pipelines—separate models for text, vision…
https://developer.nvidia.com/blog/deploy-long-context-reasoning-and-agentic-workflows-with-minimax-m3-on-nvidia-accelerated-infrastructure/
NVIDIA Technical Blog
NVIDIA Achieves Leading Agentic Coding Performance on First Agentic AI Benchmark
AI agents have fundamentally changed the complexity of inference workloads. Until now, the industry has struggled to define a standard for measuring how inference systems perform under these…
🔄 [GitHub Releases] vllm-project/vllm - v0.23.0
https://github.com/vllm-project/vllm/releases/tag/v0.23.0
https://github.com/vllm-project/vllm/releases/tag/v0.23.0
GitHub
Release v0.23.0 · vllm-project/vllm
vLLM v0.23.0 Release Notes
Please note that Minimax M3 is not yet supported in this version. Please follow vLLM recipe for usage guides for M3.
Highlights
This release features 408 commits from 200...
Please note that Minimax M3 is not yet supported in this version. Please follow vLLM recipe for usage guides for M3.
Highlights
This release features 408 commits from 200...
🔄 [GitHub Releases] sgl-project/sglang - v0.5.13
https://github.com/sgl-project/sglang/releases/tag/v0.5.13
https://github.com/sgl-project/sglang/releases/tag/v0.5.13
GitHub
Release v0.5.13 · sgl-project/sglang
Highlights
New Model Support:
Autoregressive: Nemotron 3 Ultra (Day-0, blog), Step-3.7-Flash, Command A+
Diffusion: Cosmos3, LingBot-World, SANA-WM, Ernie-Image, FLUX.2-Klein 4B/9B, Ideogram 4
Sp...
New Model Support:
Autoregressive: Nemotron 3 Ultra (Day-0, blog), Step-3.7-Flash, Command A+
Diffusion: Cosmos3, LingBot-World, SANA-WM, Ernie-Image, FLUX.2-Klein 4B/9B, Ideogram 4
Sp...
📰 Anthropic - Statement on the US government directive to suspend access to Fable 5 and Mythos 5
https://www.anthropic.com/news/fable-mythos-access
https://www.anthropic.com/news/fable-mythos-access
Anthropic
Statement on the US government directive to suspend access to Fable 5 and Mythos 5
The US government has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States.
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🆕 [HF Models] inclusionAI - VISTA-9B
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🆕 [HF Models] inclusionAI - VISTA-4B
https://huggingface.co/inclusionAI/VISTA-4B
https://huggingface.co/inclusionAI/VISTA-9B
🆕 [HF Models] inclusionAI - VISTA-4B
https://huggingface.co/inclusionAI/VISTA-4B
huggingface.co
inclusionAI/VISTA-9B · Hugging Face
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🗓️ Weekly GitHub Activity
🦙 llama.cpp
└ Release: b9544 → b9627
└ 83 commits
- Support for EAGLE3 speculative decoding #18039
- Added Gemma 4 Multi-Token Prediction (MTP) and assistant draft-model support #23398 #24282
- New architecture support for Cohere2-MoE #24260
- Multi-Token Multi-Domain (MTMD) models now support video input and a batching API #24269 #24384
- WebUI implemented as a Progressive Web App (PWA) with offline caching #23871
- WebUI added an opt-in sandboxed JavaScript execution tool #24244
- GGML core bumped to version 0.15.1 e08c226
- WebGPU performance improvements for prefill and k-quants #24225
- Vulkan added fast paths for contiguous transfers and dot2 product extension support #23973 #24123
- Fixed CUDA ssm_scan_f32 data-races and CPU rms_norm_back in-place aliasing #24360 #24305
- Server added prompt logging to local directories #22031
🔗 All changes | Latest release
🎨 stable-diffusion.cpp
└ Release: master-679-f3fd359 → master-694-276025e
└ 15 commits
- Added circular RoPE support for ideogram4 #1627
- Introduced free_sd_images function to manage memory for C API #1633
- Optimized performance by capping planner budget when models exceed streaming limits #1612
- Normalized APG diff_norm calculations by tensor size #1620
- Fixed SD3 conditioning crash when clip_l text encoder is missing #1638
- Corrected mask shape for masked flash attention #1625
- Resolved LoKR application issue by correctly marking w2_a tensors #1650
🔗 All changes | Latest release
🤗 Fresh models trending on HuggingFace:
bosonai/higgs-audio-v3-tts-4b ♡414
nex-agi/Nex-N2-mini ♡193
prefeitura-rio/Rio-3.5-Open-397B ♡108
RazzzHF/Realism_Engine_Ideogram_4 ♡90
silx-ai/Quasar-Preview ♡63
mindlab-research/Macaron-V1-Preview-749B ♡57
Zyphra/ZONOS2 ♡56
BennyDaBall/Z-Image-Engineer-V6 ♡46
PaddlePaddle/pp-ocrv6 ♡43
MooreThreads/MusaCoder-27B ♡35
apodex/Apodex-1.0-mini ♡31
Muhammadreza/alduin-4b-it-base ♡28
zjunlp/LabVLA ♡26
fancyfeast/bigasp-3 ♡20
Photoroom/prxpixel-t2i ♡20
LatentForce-ai/Cassini-1.0 ♡20
Gryphe/Pantheon-Reasoning-26B-A4B-1.1 ♡19
libertywing/FlashMemory-Deepseek-V4 ♡19
dx8152/Flux2-Klein-9B-Migration ♡19
apodex/Apodex-1.0-4B-SFT ♡18
Gryphe/Gemma-4-31B-StyleTune ♡17
VAGOsolutions/SauerkrautLM-LFM2.5-GLiNER ♡16
tsolful/zjourney-Ideogram-4-Fantasy-Realism-Refiner ♡14
🦙 llama.cpp
└ Release: b9544 → b9627
└ 83 commits
- Support for EAGLE3 speculative decoding #18039
- Added Gemma 4 Multi-Token Prediction (MTP) and assistant draft-model support #23398 #24282
- New architecture support for Cohere2-MoE #24260
- Multi-Token Multi-Domain (MTMD) models now support video input and a batching API #24269 #24384
- WebUI implemented as a Progressive Web App (PWA) with offline caching #23871
- WebUI added an opt-in sandboxed JavaScript execution tool #24244
- GGML core bumped to version 0.15.1 e08c226
- WebGPU performance improvements for prefill and k-quants #24225
- Vulkan added fast paths for contiguous transfers and dot2 product extension support #23973 #24123
- Fixed CUDA ssm_scan_f32 data-races and CPU rms_norm_back in-place aliasing #24360 #24305
- Server added prompt logging to local directories #22031
🔗 All changes | Latest release
🎨 stable-diffusion.cpp
└ Release: master-679-f3fd359 → master-694-276025e
└ 15 commits
- Added circular RoPE support for ideogram4 #1627
- Introduced free_sd_images function to manage memory for C API #1633
- Optimized performance by capping planner budget when models exceed streaming limits #1612
- Normalized APG diff_norm calculations by tensor size #1620
- Fixed SD3 conditioning crash when clip_l text encoder is missing #1638
- Corrected mask shape for masked flash attention #1625
- Resolved LoKR application issue by correctly marking w2_a tensors #1650
🔗 All changes | Latest release
🤗 Fresh models trending on HuggingFace:
bosonai/higgs-audio-v3-tts-4b ♡414
nex-agi/Nex-N2-mini ♡193
prefeitura-rio/Rio-3.5-Open-397B ♡108
RazzzHF/Realism_Engine_Ideogram_4 ♡90
silx-ai/Quasar-Preview ♡63
mindlab-research/Macaron-V1-Preview-749B ♡57
Zyphra/ZONOS2 ♡56
BennyDaBall/Z-Image-Engineer-V6 ♡46
PaddlePaddle/pp-ocrv6 ♡43
MooreThreads/MusaCoder-27B ♡35
apodex/Apodex-1.0-mini ♡31
Muhammadreza/alduin-4b-it-base ♡28
zjunlp/LabVLA ♡26
fancyfeast/bigasp-3 ♡20
Photoroom/prxpixel-t2i ♡20
LatentForce-ai/Cassini-1.0 ♡20
Gryphe/Pantheon-Reasoning-26B-A4B-1.1 ♡19
libertywing/FlashMemory-Deepseek-V4 ♡19
dx8152/Flux2-Klein-9B-Migration ♡19
apodex/Apodex-1.0-4B-SFT ♡18
Gryphe/Gemma-4-31B-StyleTune ♡17
VAGOsolutions/SauerkrautLM-LFM2.5-GLiNER ♡16
tsolful/zjourney-Ideogram-4-Fantasy-Realism-Refiner ♡14
GitHub
[Speculative decoding] feat: add EAGLE3 speculative decoding support by ruixiang63 · Pull Request #18039 · ggml-org/llama.cpp
ImportantThe old PR has been backed up in this branch: https://github.com/ruixiang63/llama.cpp/tree/eagle3-v1-backup
The new commits in this PR have been rebased onto the latest master branch, refa...
The new commits in this PR have been rebased onto the latest master branch, refa...
🔄 [GitHub Releases] turboderp-org/exllamav3 - 0.0.43
https://github.com/turboderp-org/exllamav3/releases/tag/v0.0.43
https://github.com/turboderp-org/exllamav3/releases/tag/v0.0.43
GitHub
Release 0.0.43 · turboderp-org/exllamav3
An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs - Release 0.0.43 · turboderp-org/exllamav3
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🆕 [HF Models] tencent - Hy-Embodied-0.5-VLA-RoboTwin
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https://huggingface.co/swiss-ai/Apertus-v1.1-0.5B-Instruct
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https://huggingface.co/swiss-ai/Apertus-v1.1-1.5B
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swiss-ai/Apertus-v1.1-1.5B-Instruct · Hugging Face
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📰 LMSys - The next generation of speculative decoding: DFlash and Spec V2
https://lmsys.org/blog/2026-06-15-next-generation-speculative-decoding-dflash-v2
https://lmsys.org/blog/2026-06-15-next-generation-speculative-decoding-dflash-v2
www.lmsys.org
The next generation of speculative decoding: DFlash and Spec V2
Using Modal and Z Lab's DFlash speculative decoding models with SGLang’s newly default Spec V2 engine, you can achieve state-of-the-art latencies for LLM inference serving. Our new, jointly-released D...
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📰 NVIDIA - Boosting MoE Training Throughput with Advanced Fusion Kernels
Mixture-of-experts (MoE) models have quickly become a foundational component of modern, large-scale AI systems. They are widely adopted because they enable…
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Mixture-of-experts (MoE) models have quickly become a foundational component of modern, large-scale AI systems. They are widely adopted because they enable…
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Quick glossary for readers new to VLA/WAM terminology VLA Vision-Language-Action model: a robot policy that starts from a pretrained VLM backbone and adapts it…
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NVIDIA Technical Blog
Boosting MoE Training Throughput with Advanced Fusion Kernels
Mixture-of-experts (MoE) models have quickly become a foundational component of modern, large-scale AI systems. They are widely adopted because they enable substantially larger model capacity while…
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