Qwen3.5 35B
PulseAugur coverage of Qwen3.5 35B — every cluster mentioning Qwen3.5 35B across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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New TreeWY method enhances speculative verification for hybrid AI models
Researchers have developed a new method called TreeWY for speculative verification in gated delta-net hybrid models. This technique eliminates the need for memory-intensive snapshots of recurrent states, instead using a…
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New Mobius-v0 architecture decouples knowledge and reasoning for faster AI inference
Researchers have introduced Mobius-v0, a novel foundation model architecture that decouples knowledge storage from reasoning processes. This design utilizes a shared memory component for knowledge vectors and multiple r…
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New Intern S2 Mobius LLM derived from Qwen3.5-35B
A new language model, Intern S2 Mobius, has been derived from Qwen3.5-35B and features a distinct architecture. This new design reportedly leads to increased throughput and reduced token consumption.
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New multimodal dataset Theia generated for disaster response using Qwen3.5
Researchers have developed a new methodology to create and validate a large-scale multimodal dataset for disaster response, named Theia. This dataset is derived from the vision-only Incidents1M dataset and features high…
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LLMs fail to admit ignorance on healthcare standards, confidently hallucinate
A healthcare IT professional tested four large language models (Claude Opus 4.8, Claude Haiku 4.5, Kimi K3, and qwen3.5-35b) on their ability to answer questions about healthcare interoperability standards like HL7, DIC…
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Qwen3.5 35B model runs 55 tok/s on RTX 5060 Ti with float8 optimization
A user on Reddit has shared an optimization for running the Qwen3.5 35B model using float8 precision, achieving speeds of 55 tokens per second on an RTX 5060 Ti. This performance significantly surpasses that of llama.cp…
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Inference Engineering: The Hidden Cost Driver in LLM Operations
Inference engineering, a critical but often overlooked layer in LLM operations, significantly impacts costs by managing factors like quantization, speculative decoding, and MoE routing. Innovations such as FP8 KV cache …
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New method enhances LLM agent clarification seeking by decomposing uncertainty
Researchers have developed a novel method for LLM agents to improve their clarification-seeking capabilities by decomposing uncertainty. This approach separates action confidence from request uncertainty, allowing agent…
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LLaMA users seek dual-model setups for coding and gaming PCs
A user on the r/LocalLLaMA subreddit is seeking recommendations for a two-Large Language Model (LLM) combination to run on their existing hardware. They are currently using a MacBook Pro with 32GB of RAM to run the Qwen…
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RAG rewriting gains driven by answer presence, not curation
Researchers have investigated the gains seen in retrieval-augmented question-answering (RAG) pipelines, specifically focusing on the role of a "rewriter" LLM. Their findings suggest that the observed improvements in F1 …
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Hugging Face paper: Answer presence, not rewriting, drives RAG gains
A new paper from Hugging Face investigates the effectiveness of retrieval-augmented generation (RAG) in question-answering systems. The research reveals that the presence of the correct answer within rewritten contexts …
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User replicates Anthropic's 'Golden Gate Claude' with open-source model
A Reddit user has recreated Anthropic's "Golden Gate Claude" experiment using an open-source model, specifically Qwen3.5-35b. This user adapted Anthropic's methodology for "steering a model" to create their own version,…
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Ollama v0.30.0, Qwen3.5 35B, and 1-bit AI on WebGPU
Ollama's v0.30.0 pre-release is set to improve llama.cpp interoperability. Separately, a new Qwen3.5 35B model is available in GGUF and GPTQ formats, optimized for local inference on consumer GPUs. Additionally, PrismML…
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Debate protocol improves AI judge accuracy in specific scenarios
Researchers explored the effectiveness of using a debate protocol to improve the accuracy of AI judges when evaluating responses from more capable models. They found that debate helped when the critic model was superior…
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New tool DODOCO reveals flaws in MoE model dispatch benchmarks
A new research paper introduces DODOCO, a tool designed to diagnose overhead in dispatch operations for Mixture-of-Experts (MoE) models. The study found that common assumptions about workload representation in benchmark…