Qwen 3.5 122B
PulseAugur coverage of Qwen 3.5 122B — every cluster mentioning Qwen 3.5 122B across labs, papers, and developer communities, ranked by signal.
6 day(s) with sentiment data
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Mimo 2.5 excels at large context tasks on consumer GPUs
The Mimo 2.5 large language model demonstrates impressive speed and performance with large context windows, particularly on dual RTX Pro 6000 GPUs. This is attributed to its efficient 5-to-1 local/global sliding-window …
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LLM community calls for urgent release of 80-160B parameter models
Users on the r/LocalLLaMA subreddit are expressing a strong need for new large language models (LLMs) in the 80-160 billion parameter range. Current models are either too small for users with high-capacity but slower un…
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User seeks to prevent llama.cpp from swapping KV cache
A user on Reddit's r/LocalLLaMA subreddit is seeking advice on how to prevent the llama.cpp software from offloading its KV cache to swap memory. Despite using specific flags, the user experiences offloading when RAM us…
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User returns Asus Spark AI hardware citing cost and performance
A user returned their Asus Spark AI hardware due to its high cost and disappointing performance, particularly with larger models. They cited limited memory bandwidth as a key issue, hindering its ability to run models e…
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Qwen 3.5 122B leads local VLMs in detecting AI-generated hand errors
A user tested four local Visual Language Models (VLMs) to determine their effectiveness in detecting poorly generated hands in AI images. Qwen 3.5 122B emerged as the best performer, offering 100% precision with a decen…
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Windows vs. Linux: No Speed Difference for llama.cpp MoE Models
A user tested the performance of llama.cpp on Windows 11 and Linux, finding no significant speed difference for medium to large Mixture of Experts (MoE) models. The tests involved specific hardware configurations and de…
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LLMs possess shared internal 'preference vector' across personas
Researchers have identified a shared internal 'preference vector' within large language models that influences their behavior across different personas. By training probes on activation data from Gemma-3-27B and Qwen-3.…