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
-
New HOPE method prunes MoE models by considering expert interactions
Researchers have developed HOPE (Higher-Order Pruning of Experts), a novel method for reducing the memory footprint of Mixture-of-Experts (MoE) language models. Unlike previous first-order methods that assess experts in…
-
RIFT improves KV cache compression for speculative decoding in LLMs
Researchers have introduced RIFT, a novel KV cache compression strategy designed to improve the efficiency of speculative decoding in large language models. RIFT addresses the issue of "decode staleness" where compressi…
-
NVIDIA Nemotron 3.5: Open AI agent models run on single GPU
NVIDIA has released Nemotron 3.5, a suite of open AI models designed for agentic applications. The flagship model, Bolt 74B-A9B, features 74 billion parameters and a 24GB footprint, enabling it to run on a single high-e…
-
Gharasathi launches as a privacy-first household AI
Gharasathi is a new household AI designed to manage personal data like finances and photos locally, ensuring privacy. It runs inference on a Mac Studio, with a focus on transparent data handling and evidence-based AI ex…
-
Qwen3.5-122B model powers household finance AI on Mac Studio
A developer details how they integrated the Qwen3.5-122B model into a personal household finance analysis tool called Gharasathi, running it on a Mac Studio. The setup utilizes llama.cpp for direct control over model pa…
-
Qwen3.5 122B A10B model shows strong performance and efficiency
The Qwen3.5 122B A10B model, specifically its non-reasoning capabilities, has achieved a performance benchmark of 147.6 tokens per second. Furthermore, it demonstrated an efficiency of 16.1 intelligence points per dolla…
-
New AI-PC for Local LLMs Shows Slow Performance Compared to GPUs
A new AI-PC designed for local LLM operation has been released, though its performance is noted as slow compared to GPU-based systems. The device supports large models like Qwen3.5-122B and DeepSeek V4 Flash, with speed…
-
New research evaluates LLMs' ability to revise artifacts via conversation
A new research paper explores how large language models (LLMs) can effectively revise generated artifacts based on conversational feedback. The study introduces a benchmark to evaluate LLMs' ability to identify and prop…
-
New benchmark RevPropBench tests LLM revision propagation in conversation
Researchers have introduced RevPropBench, a new benchmark designed to evaluate the revision propagation capabilities of large language models (LLMs) when generating artifacts through conversational interactions. The stu…
-
New search method improves AI research agents' decision-making
Researchers have developed HypoSearch, a novel approach to enhance deep-research agents by guiding their search strategies. These agents often struggle with early decision-making, committing to a single research path be…
-
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. …
-
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…
-
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…
-
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…
-
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…
-
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.…
-
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…
-
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…
-
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…
-
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…