Tracked topic
Qwen3 is an AI model family developed by Alibaba, released as a set of large language models for natural-language tasks.
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct In long-context use, large language models frequently synthesize answers from the meaning of a relevant context span rather than literally copy-pasting them…
…through expert scoring, selection, grouping, and knowledge distillation, achieving superior performance and efficiency compared to traditional pruning methods. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Mixture-of-Experts (MoE) is now…
…Experimental results show our method achieves up to 1.8x end-to-end acceleration in async RL training of Qwen3.5, Qwen3.6, and Qwen3.7 models. View arXiv page View PDF…
…data for robotics, enabling efficient zero-shot Sim2Real transfer and improved real-world performance. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Scaling robot learning requires massive, diverse trajectory data, yet collection…
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…
…Parameter counts are measures of a model’s complexity during training and offer a rough indication of its scale and performance, though bigger does not always mean better. Alibaba says Qwen3.8…
…Fortunately, the RTX 5090 isn’t down and out just yet because the YouTuber ran a bunch of LLMs, such as Gemma 4 12B, Qwen3.5 27B, and Qwen3.6 35B A3B…
…token pretraining and flow matching, demonstrates superior performance on laboratory automation tasks through simulated data generation and robot-specific learning. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Scientific laboratories increasingly rely…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct This paper explores agentic 3D spatial understanding , i.e., MLLM agents performing 3D reasoning through tool use . Existing methods often misuse tools and exhibit…
…It's as simple as downloading Ollama and pulling the Qwen2.5-Coder 32B model with ollama pull qwen2.5-coder:32b (use 14b instead of 32b if you have less than…
…I decided to use llama.cpp for the central LLM powering my voice assistant Considering the weak specifications of ARM-based Raspberry Pi SBCs, I wanted to minimize the performance overhead as…
