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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.
…For "explain why ," Qwen's answer was just... better. Where Qwen struggled It's not perfect While you may come out of this thinking Qwen 3.6 27B might actually be the…
…dual-action semantics and RL to recover reasoning performance under the new format. Across two Qwen3 architectures/scales ( MoE Qwen3-30B-A3B, dense Qwen3-4B) and both in-domain ( AIME25 ) and out…
…the head level, achieving superior long-context performance with reduced training overhead through interpretability-driven selection and scale-normalized fusion. Generated by Qwen/Qwen2.5-Coder-32B-Instruct The quadratic complexity of…
…When I ask it to check a service or perform an action, it decides which tool to call and uses the returned info to answer. Home Assistant already includes an MCP server…
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…
…Collapse indicators for project headers appear when performing sidebar searches. Bracketed ellipsis title prefixes fail to show the ellipsis icon properly. Project icons render incorrectly in the recent projects picker. Diff hunk…
…Qwen2.5 Coder 14B still doesn’t understand a large project as well as Claude does, but it performs well when I give it a clearly defined bug or a small feature…
…reasoning by addressing cascading errors through step-wise process rewards, demonstrating superior performance over existing methods. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Recent multimodal large language models have shown great…
Papers arxiv:2606.18249 Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification Published on Jun 16 Submitted by taesiri on Jun 17 Qwen Authors: Wujian Peng , , , , , , , , , Abstract…
…RL post-training with METHOD consistently improves performance on ten external multimodal reasoning benchmarks across Qwen3-VL-4B, Qwen2.5-VL-7B, and MiMo-VL-7B-SFT. View arXiv page View PDF…
…Look at the difference in responses between Qwen2.5-Math-1.5B and DeepSeek-R1-Distill-Qwen-1.5B: Figure 1: OPEA ChatQnA running Qwen2.5-Math-1.5B gives the most…
