LLM Reddit Mar 3, 2026 1 min read
A demo running Qwen 3.5 0.8B entirely in the browser using WebGPU and Transformers.js scored 440 on r/LocalLLaMA. No server, no API key, no installation required — just a modern browser with GPU access.
#qwen
RSS FeedLLM Reddit Mar 3, 2026 1 min read
A widely-shared r/LocalLLaMA comparison of Qwen's smallest models across three generations (score: 681) reveals extraordinary efficiency gains. The Qwen 3.5 9B now outperforms the previous-generation 80B on several benchmarks, while the 2B handles video understanding better than many 7B models.
LLM Reddit Mar 3, 2026 1 min read
Alibaba Qwen team released the Qwen 3.5 small model series (0.8B to 9B). Models run in-browser via WebGPU and show dramatic benchmark improvements over previous generations.
LLM Reddit Mar 2, 2026 1 min read
A community developer achieved 100+ t/s decode speed and 585 t/s aggregate throughput for 8 simultaneous requests running Qwen3.5 27B on a dual RTX 3090 setup with NVLink, using vLLM with tensor parallelism and MTP optimization.
LLM Reddit Mar 2, 2026 1 min read
A remarkable 13-month comparison: running frontier-level DeepSeek R1 at ~5 tokens/second cost $6,000 in early 2025. Today, you can run a significantly stronger model at the same speed on a $600 mini PC — and get 17-20 t/s with even more capable models.
LLM Reddit Mar 2, 2026 1 min read
Alibaba's Qwen team has released Qwen 3.5 Small, a new small dense model in their flagship open-source series. The announcement topped r/LocalLLaMA with over 1,000 upvotes, reflecting the local AI community's enthusiasm for capable small models.
LLM Reddit Mar 1, 2026 1 min read
The r/LocalLLaMA community is buzzing over Qwen 3.5-35B-A3B, which users report outperforms GPT-OSS-120B while being only one-third the size, making it an excellent local daily driver for development tasks.
LLM Reddit Feb 28, 2026 2 min read
A high-engagement r/LocalLLaMA thread reviewed Unsloth’s updated Qwen3.5-35B-A3B dynamic quantization release, including KLD/PPL data, tensor-level tradeoffs, and reproducibility artifacts.
LLM Reddit Feb 28, 2026 2 min read
A high-engagement LocalLLaMA follow-up benchmark reports that Qwen3.5-35B-A3B runs best on the tested RTX 5080 setup with Q4_K_M quantization, KV q8_0, and --fit without explicit batch flags.
LLM Reddit Feb 26, 2026 2 min read
A high-traffic LocalLLaMA thread tracked the release of Qwen3.5-122B-A10B on Hugging Face and quickly shifted into deployment questions. Community discussion centered on GGUF timing, quantization choices, and real-world throughput, while the model card highlighted a 122B total/10B active MoE design and long-context serving guidance.
LLM Reddit Feb 26, 2026 2 min read
A high-engagement r/LocalLLaMA thread reports strong early results for Qwen3.5-35B-A3B in local agentic coding workflows. The original poster cites 100+ tokens/sec on a single RTX 3090 setup, while comments show mixed reproducibility and emphasize tooling, quantization, and prompt pipeline differences.
LLM Reddit Feb 25, 2026 2 min read
A high-engagement r/LocalLLaMA post surfaced the Qwen3.5-35B-A3B model card on Hugging Face. The card emphasizes MoE efficiency, long context handling, and deployment paths across common open-source inference stacks.