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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.
…Free Deployment with Qwen 3.5 and SGLang Mar 16, 2026 OpenClaw stands out because it gives users meaningful control over what their agent can do. Instead of prescribing a fixed experience…
…Under FP8-quantized rollout, MIPU achieves both improved reasoning performance and significantly enhanced training stability across Qwen3-1.7B and Qwen3-4B. The figure summarizes the core idea: instead of optimizing only…
…Key Takeaways Day-0 support across the AMD Instinct GPUs Optimized ROCm enablement SGLang /vLLM/ATOM readiness Performance highlights and benchmark placeholders Quickstart deployment instructions What’s New in Qwen 3.8…
…How do pruning and distillation impact model performance? Experimental results for pruning and distillation from Qwen3 8B using Model Optimizer show that Qwen3 Depth Pruned 6B model is 30% faster than the…
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 …
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct We present BioMatrix, the first multimodal foundation model that natively integrates sequences, structures, and natural language for both molecules and proteins within a single…
…Anthropic accused Alibaba of using 25,000 fake accounts to query Claude 28.8 million times in a distillation attack aimed at training Alibaba's Qwen model. The Chinese government was allegedly…
…A 0.6B Qwen3 interpreter executing PAW programs matches the performance of direct prompting of Qwen3-32B, while using roughly one fiftieth of the inference memory and running at 30 tokens/s…
…we should expect similar performance. For reference, I measured 6.74 tokens/s on the HAT+ 2 and 11.73 tokens/s on the CM5 devkit with Qwen2.5-1.5B-Instruct…
…However, when model size increases to a more practical 8 billion parameters (Qwen3 8b, M4 Max Mac), CoreAI is only 1.05x faster than MLX, and offers a near-parity decoding performance…
…Run Enterprise AI on Your Existing Infrastructure Learn how the AMD Instinct™ MI350P PCIe® card delivers exceptional performance, leadership costs, and simplified deployment for enterprises. May 07, 2026 Next Gen Networking Transport…
