Top Tweets for #AutoRound
👉DeepSeek V4 DSpark MXFP4 model is now available! Check it out: https://t.co/8XpUGZqT7d
@IntelAI @deepseek_ai @huggingface #AutoRound
🎯GLM 5.2 INT4 and MXFP4 models are now available! Check them out and give a try on your favorite device! ⚽️https://t.co/HciafEOZrf
⚽️https://t.co/uETEwMYgqc
@IntelAI @Zai_org @huggingface #GLM #AutoRound #MXFP4 #FIFA
🥳 Thrilled to announce: The Low-Bit LLM Leaderboard is (re)launched in Beta! What's new?
✨ Free LLM quantization
✨ Free accuracy evaluation
✨ Low-bit LLM leaderboard
Try it out now 👇 https://t.co/fgeNLUTCee
@IntelAI @huggingface #AutoRound
👏Excited to share that AutoRound has been integrated into @vllm-omni to support multi-modal models. Check out the release notes of vLLM-omni v0.20.0: https://t.co/pI9YTttIjc.
Github: https://t.co/qP0qPQ3qpq
#intelai #AutoRound #vllm
🥳AutoRound landed in @vllm_project llm-compressor, supporting INT2 - INT8, MXFP4, NVFP4, FP8 and MXFP8 quantization for LLMs/VLMs on Intel CPUs/GPUs/HPUs and CUDA. Thanks to team & community. Github https://t.co/qP0qPQ2SzS and PR: https://t.co/olRFrKVpLe #intel #autoround #vllm
🤠GLM, one of nice choices for coding. Now, we released 2-bit model for your deployment.
https://t.co/QggTM9jEFJ
https://t.co/lOsd3bW504
Model generated by AutoRound: https://t.co/qP0qPQ3qpq
#intel #autoround #llms #huggingface
🚀 We're thrilled to unveil Qwen3-VL — the most powerful vision-language model in the Qwen series yet!
🔥 The flagship model Qwen3-VL-235B-A22B is now open-sourced and available in both Instruct and Thinking versions:
✅ Instruct outperforms Gemini 2.5 Pro on key vision benchmarks
✅ Thinking achieves state-of-the-art (SOTA) performance on multimodal reasoning tasks
✨ Key breakthroughs:
🖥️ Visual Agent: Operates GUIs on PC/phone — understands buttons, calls tools, and completes real-world tasks (SOTA on OS World)
💻 Visual Coding: Transforms screenshots into code (HTML/CSS/JS, https://t.co/PltLSkuuq9) — true "what you see is what you get" development
📚 256K+ context (scalable to 1M) → supports 2-hour videos and multi-page long PDFs
🌍 32-language OCR with enhanced robustness for blurry, tilted, or rare characters
📐 Advanced spatial reasoning: 2D → relative coordinates, 3D grounding, occlusion handling, and perspective understanding
🧠 Thinking Mode: Leading performance in STEM/Math — enables deep causal reasoning
🔤 Text capabilities rival top-tier LLMs — a solid language foundation powering its multimodal excellence
From "seeing" to "understanding", from "recognizing" to "reasoning & acting"
Qwen Chat: https://t.co/PKOQqHlAj4
API: https://t.co/mkI3cWroT9
Blog:https://t.co/SLop8p4SRj
ModelScope: https://t.co/LWwKz7VzJ8
HuggingFace: https://t.co/MdtyH8lhWL

💡Happy to share with you that Baichuan adopted AutoRound to generate the INT4 model for the latest SOTA Baichuan-M2 model. Congrats @BaichuanAI! 🥳 Check out the paper for more details! https://t.co/eY0yyiJ2ak
#intel #autoround #huggingface #llm

🤠Hope this isn’t too late, guys. https://t.co/UUd0kj4mTZ
Give a try first and we'll be updating the model card soon. #intel #autoround #deepseek #huggingface @deepseek_ai
🍻More aggressive Qwen3-Next INT4 models are ready for you:
https://t.co/fQne1UedwK
https://t.co/me6AhMm8JZ
#intel #autoround #huggingface
🥳Qwen3-Next INT4 models - here you are!
https://t.co/pRAS4mbHbP
https://t.co/1jYSFZrTov
@JustinLin610 #intel #autoround #huggingface
🥳AutoRound now supports OCP MXFP4 quantization and improves 2-bit quantization. Check out the latest release: https://t.co/qP0qPQ3qpq
#intel #autoround #llms #mxfp4 #nvfp4
💡INC new release for https://t.co/XklzQFSYdz: providing the best quantization support for Intel Gaudi system. #intel #autoround #Gaudi #LLM
🔥AutoRound is now part of SGLang. Thanks to the team work, esp. Weiwei, Wenhua, and Yi from @intel , and Yineng, Jiexin, and FlamingoPg from @sgl_project.
👏PR https://t.co/veUZkPSGzB
#intel #autoround #sglang #LLM
💡LongCat INT4 models: https://t.co/rIgMKRocAU
https://t.co/ao81YJCeih
#intel #autoround #huggingface #vllm
🥳Seed-OSS INT4 model: https://t.co/6UIS5hSeUt, no accuracy loss & vLLM inference
#intel #autoround #ByteDance
🤔A more aggressive INT4 model for DeepSeek-V3.1:
https://t.co/mELIFdbpNP
#intel #autoround #huggingface @deepseek_ai
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