Qwen3.6 35B
PulseAugur coverage of Qwen3.6 35B — every cluster mentioning Qwen3.6 35B across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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Users seek coding tools for local LLMs like Qwen3.6
A user is seeking recommendations for coding harnesses that work well with local Large Language Models (LLMs), specifically mentioning Qwen3.6 35B. They have found success with GitHub Copilot for general coding assistan…
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User seeks Qwen3.6 MoE speedup with MTP optimization
A user on the r/LocalLLaMA subreddit is seeking assistance regarding the performance of the Qwen3.6-35B MoE model when using the MTP (Mixture-of-Tensors) optimization. Despite following the unsloth guide and adjusting v…
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LocalLLaMA user questions mmproj file compatibility for MTP models
A user on the r/LocalLLaMA subreddit is inquiring about the compatibility of mmproj files between MTP (Multi-Turn Prompting) and non-MTP models. They are specifically asking if these files, which appear to be related to…
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Gemma4-26B beats Qwen3.6-35B in speed despite slower token output
A user compared the performance of Qwen3.6-35B and Gemma4-26B on a Radeon 7900 XTX GPU, finding that Gemma4-26B was approximately 20% faster in end-to-end task completion despite Qwen3.6-35B having a significantly faste…
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Qwen3.6 model shows markdown best for quality, HTML for token bloat
A user tested the Qwen3.6 35B model to compare output quality and efficiency across different formatting styles: raw text, markdown, unstyled HTML, and styled HTML. The experiment revealed that while markdown produced t…
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AMD R9700 GPU runs local LLMs like Qwen3.6:35b surprisingly fast
A user shared their experience running local AI models on a new setup featuring an AMD R9700 GPU with 32 GB of VRAM. They successfully operated models such as Qwen3.6:35b using Ollama and Openwebui, noting the surprisin…
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Qwen3.6-35B model quantizations show FP8 quality worse than INT8, NVFP4 is a lie
A user on Reddit's LocalLLaMA community shared findings on the Qwen3.6-35B model, focusing on Kullback-Leibler (KLD) divergence metrics for different quantization formats like INT8, FP8, and NVFP4. The analysis, conduct…