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Qwen3 is an AI model family developed by Alibaba, released as a set of large language models for natural-language tasks.
Qwen3 embedding and reranking models for retrieval are now available in Amazon SageMaker JumpStart Posted on: Jul 13, 2026 Today, AWS announced the availability of Qwen3-VL-Embedding-2B and Qwen3-Reranker-4B in Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AW… …
… Qwen-Image-VAE-2.0 achieves state-of-the-art reconstruction performance, demonstrating exceptional capabilities in both general domains and text-rich scenarios at high compression ratio. …
… While more performance enhancements are on the way, developers can start deploying Qwen3 today on Intel platforms by following the steps below: Qwen3 Inference on AIPCs Qwen3 inference on Intel Gaudi Qwen3 Inference on Intel Xeon Product and Performance Information “Arrow Lake” Intel® Core™ Ultra 9… …
… The website relies on Qwen 3.5 models for benchmarking: Qwen3.5-9B – Required Small device baseline Qwen3.5-27B – Required Mid-range device baseline Qwen3.5-35B-A3B MoE – Optional MoE performance reference Qwen3.5-122B-A10B MoE – Optional Large memory device reference Qwen3.5-397B-A17B MoE – Option… …
Looking for V100 users to share your config and it's performance. GPU: Tesla V100 PCIE 32Gb Qwen3.6 27B Q4_K_M + Q8_0 MTP 128K context length Pi coding agent llama.cpp model preset: [*] spec-default = 1 ctx-size = 131072…
Qwen3.8-Max (2.4T) is another massive contribution to the open weight community. On benchmarks, it performs closely to Kimi K3 and DeepSeek V4 flash across all categories and is better at coding and software tasks. Qwen3…
QwQ was genuine next-gen performance usable on local hardware, but the massive required context (it's reasoning style was akin to "if I say every possible word, I'll notice the right one!") kinda made it unusable for age…
Hey locallama! We recently open sourced a Qwen3-TTS 1.7B implementation that achieves 10 requests per second (RPS) and sub-50 ms p95 time-to-first-audio (TTFA) while maintaining real-time playback on 1 x H100. This exten…
From the description: "Reasoning-Medical-27B is designed for universal advanced medical reasoning in professional medicine, medical genetics, college biology/medicine, and clinical knowledge. The model was fine-tuned on …
Papers arxiv:2606.03746 Qwen-Image-Flash: Beyond Objective Design Published on Jun 2 Submitted by Tianhe Wu on Jun 4 Qwen Authors: Tianhe Wu , , , , , , , , , , , , , , , , , , , , , Abstract Few-step distillation for visual generative models benefits from systematic investigation of training recip… …
… Alibaba’s own testing shows the model’s performance to broadly match — and sometimes exceed — that of Fable 5 on benchmark tests. On the Arena text model leaderboard, Qwen3.8-Max trails only Fable 5 and three models in Anthropic’s Opus family. …
… Experiments on Qwen3, Ministral, and GLM models reveal a persistent English--Chinese performance gap. …
… Specifically, RACES improves DeepSeek-R1-Distill-Qwen-14B by an average of 3.1 points from 48.2 to 51.3 and boosts Qwen3-14B performance from 58.8 to 61.1 on six benchmarks, which are unseen during the construction of training environments. …
… NVIDIA NIM makes it easy to take Qwen3.5 from development into production. Available as optimized, containerized inference microservices, NIM packages the model with the performance tuning, standardized APIs, and deployment flexibility enterprises need. …
Papers arxiv:2605.30280 Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments Published on May 28 Submitted by taesiri on May 29 2 Paper of the day Qwen Authors: , , , , , , , Zhixuan Liang , , , , , , , Shuai Bai , , , , Gengze Zhou , , , Abstract A u… …
