Qwen3.5-122B-A10B-GGUF is a quantized release of the Qwen3.5-122B-A10B foundation model hosted on Hugging Face by Unsloth. It is provided in GGUF format for local inference.
The model supports processing of text, image, and video inputs through a chat template that handles multimodal content. Its template includes specific tokens such as vision_start, vision_end, image_pad, and video_pad, along with logic for counting vision elements and raising exceptions for unsupported cases like videos in system messages. The template also accommodates tool calling by formatting available functions when tools are supplied in the messages.
It is delivered as a repository on the Hugging Face platform containing GGUF quantized files. The page includes a chat template implementation in a macro-based format that processes message lists, handles different content types, and generates appropriate system prompts for tool use.
The model belongs to the class of foundation models. No pricing, licensing details, or target audience beyond the repository context are stated.
In the Multimodal & vision space, Qwen3.5 122B A10B takes a focused approach. It focuses on running large multimodal language models efficiently on consumer or edge hardware with reduced memory requirements. It is built as an open-source project for developers and researchers. Qwen3.5 122B A10B is open source under the Apache-2.0 license. Qwen3.5 122B A10B is available on the web, the command line, and API.
Behind Qwen3.5 122B A10B is Unsloth, and it first shipped in 2023. The project is developed in the open on GitHub with 68.7k stars and 1.2k commits in the last 90 days. It competes in a saturated segment with 25 similar projects in PulseGate's index. Key capabilities include Quantized Weights, GGUF Format, and Vision Support.
Summary written by a language model from the project’s public pages.
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