I made a 10MB LoRA adapter for Qwen3.5-4B plus a small orchestration layer. It decides, per query, whether to answer directly, search the web, or retrieve…
Junyang Lin, the former technical lead of Alibaba's Qwen, walked through the model family in a talk "towards a generalist model / agent," then expanded it…
Not really a tutorial, but more of sharing my attempts at getting higher contexts on Q8 of Qwen3.6-27 with 32GB VRAM. Disclaimer: Not in-depth research. Crowd…
Threw together a benchmark suite (quest completion, scene endings, item/time tracking, character detection, storytelling, drafting) and ran it across 8 models people talk about a lot…
Spent a while tuning llama.cpp for Qwen3.6 27B on a 9800X3D / 64GB / 5090 box and wanted to share the real distribution instead of just…
I used Claude Code locally running this model. Took a surprisingly long amount of time to pull off. This game is just a test game my…
Dspark looks very exciting. Anybody got insight into whether it can be added to qwen 27b? submitted by /u/GotHereLateNameTaken [link] [comments]
The reason I exclude speculative decoding is because I plan on using like DFlash or DSpark for Qwen 3.6, so 5-10 forward passes a second is…
Just a datapoint I wanted to share.Qwen 27b, at q6kxl, with multi-token prediction, on a 4090+3090 system, using lcpp, puts out 50-90 tokens/s decode and 1500-2200…
Finally got around to testing whether enabling P2P actually matters on a dual 3090 rig (PCIe 4.0 8x/8x), instead of just taking it on faith. Ran…
RT Elliot ArledgeFor those wondering why I use a Kimi Linear megakernel instead of Qwen 3.6, first look at the parameter counts. One is 35 billion,…
Hey folks. I've been frustrated by how difficult it is to get an idea of how good each new model (or fine-tune) is, and I've not…
I'm struggling to find the right setup with llama.cpp. Ubuntu 26.04, AMD 5900X, 128GB DDR4-3600, R9700s are running PCIe x8/Gen4 Model config: [Qwen3.6-27B] mmproj = /models/Qwen3.6-27B-mmproj-BF16.gguf…
Halfway to its Qwen 3.6 peer (I choose to ignore Terminal Bench). Presumably they, too, have learned the Dao of continuous RL gains. If this is…
is it possible to run a reasonable quant of qwen 3.6 (or I guess even ornith/3.5) 35B A3B on a laptop with 32gb of lpddr5 (7500…
I tried to find some good comparisons on how different quants of Qwen3.6-27b perform in different scenarios, but I failed to find good information on what…
Deepseek Flash V4 at IQ2 or Qwen 3.6 27B Q5KM ? Any tests or benchmarks ? Wondering which one would be better at speed / coding…
Hi all, We made several updates to the SWE-rebench leaderboard: added new models, refreshed recent results, and reworked the leaderboard UI to make results easier to…
My attempt at running Qwen3.5 122B on my 5090 (32GB VRAM) + 64GB RAM is really bleak. I'm getting a speed that starts at 6 tps…
Repo → huggingface.co/LordNeel/Agents-A1-GGUF I made GGUF quants of InternScience/Agents-A1 — a 35B Mixture of Experts agent model (Qwen3.5-MoE, ~3B active, 256 experts / 8+1 active, hybrid…
The quadratic complexity of attention poses a critical bottleneck for long-context processing, spurring interest in hybrid attention designs. Most open-source hybrid models adopt a layer-wise strategy.…
First of all, a huge thank you to the r/LocalLLaMA community and the 3090 club. This benchmark started from your shared recipes... These are my findings…
They are just MTP-only GGUF subsets of Qwen3.5/3.6 Middle/Large (27B and above) models (to accelerate token generation of Qwen-based models without MTP tensors). But I hope…
https://huggingface.co/nvidia/Qwen3.6-27B-NVFP4 submitted by /u/vanbukin [link] [comments]
Qwen is Alibaba's open-weight model family — Qwen3 (text), Qwen3-VL (vision), Qwen3-Coder, QwQ (reasoning). Qwen3 sits near the top of every open-weight benchmark in 2026 and ships under a permissive licence.
Owner: Alibaba. We have 350 stories indexed for this model, auto-tagged from titles across every tracked source — official announcements, papers, GitHub release notes, and third-party press. The CTA on each card links to the original; the official site is qwen.ai.
Related text models: GPT, Claude, Gemini, Gemma, Llama, Mistral, Grok, DeepSeek.