NVIDIA Cosmos Archives
…Jetson Thor delivers optimized performance across Qwen models like the Qwen 3.5-35B-A3B model, which reasons at 35 tokens per second, making real-time interactivity possible. Any developer can fine…
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Tracked topic
Qwen3
Qwen3 is an AI model family developed by Alibaba, released as a set of large language models for natural-language tasks.
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Anima-3.8B with Qwen-3.5 4B released by lylogummy
Top stories
NVIDIA Jetson Archives
…Jetson Thor delivers optimized performance across Qwen models like the Qwen 3.5-35B-A3B model, which reasons at 35 tokens per second, making real-time interactivity possible. Any developer can fine…
NVIDIA Nemotron Archives
…Jetson Thor delivers optimized performance across Qwen models like the Qwen 3.5-35B-A3B model, which reasons at 35 tokens per second, making real-time interactivity possible. Any developer can fine…
Paper page - Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection
…training data poisoning while maintaining performance, with the backdoor activating at token feature level and being detectable through behavioral and weight-level statistics. Generated by Qwen/Qwen2.5-Coder-32B-Instruct We…
Discussions and forums
Tesla V100 Qwen3.6 27B Performance
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 matches Kimi K3 and DeepSeek V4 Flash
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…
I'm really hoping we're in 2026's 2-month-gap between QwQ and Qwen3 right now
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…
Ultrafast Qwen3-TTS at 34 ms Time-to-First-Audio, Handling 10 Requests Per Second [OSS]
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…
NVIDIA Isaac GR00T Archives
…Jetson Thor delivers optimized performance across Qwen models like the Qwen 3.5-35B-A3B model, which reasons at 35 tokens per second, making real-time interactivity possible. Any developer can fine…
Paper page - Deeper is Not Always Better: Mitigating the Alignment Tax via Confident Layer Decoding
…more reliable intermediate layers based on entropy-guided search, improving reasoning performance with minimal computational overhead. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Autoregressive generation in large language models (LLMs) conventionally…
Paper page - PsychoSafe: Eliciting Psychologically-Informed Refusals in Large Language Models
…supportive communication, showing enhanced refusal quality and resource referral while maintaining performance on non-refusal tasks. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Large language models (LLMs) routinely face requests that…
Paper page - WebRISE: Requirement-Induced State Evaluation for MLLM-Generated Web Artifacts
…across multiple input modalities, revealing significant gaps in model performance and demonstrating superior error detection compared to traditional methods. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Existing benchmarks for MLLM-generated…
Paper page - SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
…Across three 7-8B instruction-tuned models (Qwen2.5, Qwen3, OLMo-3), SCOPE improves open-ended performance by up to +10.4 points on eight benchmarks and matches or exceeds GRPO_data…
Paper page - CausalMix: Data Mixture as Causal Inference for Language Model Training
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct In Large Language Model (LLM) training, data mixing plays a pivotal role in determining model performance. Recent methods optimize mixture weights via proxy models…