Qwen3.5-122B
PulseAugur coverage of Qwen3.5-122B — every cluster mentioning Qwen3.5-122B across labs, papers, and developer communities, ranked by signal.
- 2026-07-16 product_launch A new version of the Qwen3.5 model, the 122B-A10B variant, has been released with optimizations for AMD's ROCm platform and iMatrix quantization. source
4 day(s) with sentiment data
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Developer runs 122B Qwen LLM locally on AMD MI300X GPU
A developer has successfully deployed the Qwen3.5-122B large language model locally on AMD MI300X GPU infrastructure. This setup utilizes vLLM and SGLang for inference, enabling an autonomous agent built with OpenClaw. …
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Mac Studio efficiently serves Qwen3.5-122B with optimized cold caching
A developer has optimized the qMLX engine to efficiently serve multiple sessions of the Qwen3.5-122B model on a single Mac Studio with 96GB of RAM. By implementing a cold caching strategy that heavily relies on an on-di…
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Qwen3.5 122B model optimized for AMD ROCm with iMatrix
A new version of the Qwen3.5 model, specifically the 122B-A10B variant, has been released. This iteration is optimized for AMD's ROCm platform and utilizes an iMatrix quantization method, resulting in a 28.50 token/s de…
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Qwen3.5-122B model fits 64GB RAM, offering better quality at slower speeds
A user on r/LocalLLaMA shared their experience running the Qwen3.5-122B model with UD-Q2_K_XL quantizations on a system with 64GB of RAM. This setup allows the larger model to fit into memory, offering significantly bet…
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Qwen3.5-122B model stability improved for Mac Studio users
A developer has resolved three critical bugs that were hindering the reliable daily use of the Qwen3.5-122B model on Mac Studio hardware. These fixes ensure the model now operates more consistently on the specified Appl…
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User faces LLM loading issues after adding second RTX 3060 GPU
A user on the r/LocalLLaMA subreddit is experiencing issues loading large language models after adding a second RTX 3060 graphics card. Previously, with a single 3060, the user could load models like Qwen3.6 27B, Qwen3.…
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LLM User Seeks Advice on Upgrading to 40B+ Parameter Models for Speed and Knowledge
A user on the r/LocalLLaMA subreddit is seeking recommendations for large language models (LLMs) with over 40 billion parameters. They are currently using Qwen3.6 35B but find it lacks general knowledge and acts more as…
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User seeks performance boost for Qwen3.5-122B on consumer hardware
A user is seeking to optimize the performance of the Qwen3.5-122B large language model on their hardware, which includes 32GB of VRAM and 64GB of RAM. They are currently experiencing token generation speeds between 6 an…
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AI agent recommendations sought for Python web development
A user on the r/LocalLLaMA subreddit is seeking recommendations for an AI agent setup to assist with Python web development in PyCharm. They have a powerful hardware setup with 128GB of RAM capable of running large mode…
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AI Community Questions Lack of New 100B-120B Parameter Language Models
A discussion on the r/LocalLLaMA subreddit highlights a perceived lack of new large language models in the 100B-120B parameter range. While models like GPT-OSS-120B, GLM-4.5-Air, Nemotron-3-Super, Qwen3.5-122B, and Mist…
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New benchmark reveals LLMs struggle with Polish medical exams
A new benchmark based on Polish medical exams has been developed to better assess the true competence of large language models (LLMs) in medicine. The benchmark, which includes over 15,000 questions and structural modif…
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User reports low draft acceptance with Qwen 3.x models in llama.cpp
A user on the r/LocalLLaMA subreddit is experiencing low draft acceptance rates when using Qwen3.5-122B and Qwen3.6-27B models with llama.cpp. The user reports acceptance rates between 40-60% for chats involving code sn…
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Thunderobot and AMD launch AI workstations for large models
Thunderobot has partnered with AMD to launch a comprehensive line of AI workstations, covering tower, mini-PC, and mobile form factors. These new machines are designed to meet the escalating demand for AI computing powe…
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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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LLM harness complexity paradox: Reliability not always tied to capability
A new research paper challenges the common assumption that more complex harnesses always improve LLM agent reliability. Experiments across six models and four capability tiers revealed that increased harness verbosity c…
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Tech entrepreneur uses AI to manage home data migration and smart devices
A tech enthusiast and entrepreneur detailed his experience integrating AI into his home, starting with migrating his digital life to a new MacBook Pro. He utilized Claude Code, an AI assistant, to manage the complex tra…