Qwen3.6 35B A3B
Qwen3.6-35B-A3B-NVFP4 is a foundation model hosted on Hugging Face under the nvidia organization. The model processes multimodal inputs that include text, images, and video through a specialized chat template. Its template defines distinct handling for each content type, inserting vision-specific tokens such as vision_start, image_pad, video_pad, and vision_end while counting vision elements and raising exceptions for unsupported cases like videos in system messages.
The template also supports tool calling by generating a system prompt that lists available functions when tools are supplied. It iterates over conversation messages, applies conditional formatting based on content type, and enforces rules such as requiring at least one message. The implementation appears as Jinja2-style macros that output structured strings compatible with the model's expected input format.
This model is listed alongside standard Hugging Face infrastructure for models, datasets, spaces, and community resources. The associated organization page promotes open source and open science initiatives in artificial intelligence.
Overview
5 featuresQwen3.6 35B A3B sits in PulseGate's Text generation category. It focuses on enabling advanced text and multimodal AI applications with a large, open-source model. Qwen3.6 35B A3B is an open-source project aimed at AI developers and researchers needing large-scale language models. Qwen3.6 35B A3B is open source under the Apache-2.0 license. It ships for the web, the command line, and API, and it can be self-hosted.
It is developed by NVIDIA, and it first shipped in 2024. Development happens publicly on GitHub with 3.3k stars and 357 commits in the last 90 days. It competes in a saturated segment with 25 similar projects in PulseGate's index. Among its 5 catalogued features are large language model, multimodal support, and text generation.
Summary written by a language model from the project’s public pages.
- Large language model
- Multimodal support
- Text generation
- Open source
- Pretrained weights
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- local_oss
- bollama in the HTML · bllama in the HTML · bvllm in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed19 Jul · 19:17 UTCnvidia/Qwen3.6-35B-A3B-NVFP4 verified against its public sourceSource: PulseGate · Open
Frequently asked questions about Qwen3.6 35B A3B
- What is Qwen3.6 35B A3B?
- Qwen3.6 35B A3B focuses on enabling advanced text and multimodal AI applications with a large, open-source model. It is catalogued under Text generation on PulseGate.
- Who is Qwen3.6 35B A3B for?
- Qwen3.6 35B A3B is an open-source project built for AI developers and researchers needing large-scale language models.
- Is Qwen3.6 35B A3B free?
- Yes — Qwen3.6 35B A3B is open source under the Apache-2.0 license and free to use.
- What platforms does Qwen3.6 35B A3B run on?
- Qwen3.6 35B A3B runs on the web, the command line, and API. It can also be self-hosted.
- Is Qwen3.6 35B A3B still active?
- The GitHub repository shows 357 commits in the last 90 days.
- What are alternatives to Qwen3.6 35B A3B?
- Similar projects tracked by PulseGate include Qwen3.5 35B A3B, Qwen3 32B, and Qwen3.6 35B A3B.Qwen3.5 35B A3BQwen3 32BQwen3.6 35B A3B
- Who develops Qwen3.6 35B A3B?
- Qwen3.6 35B A3B is developed by NVIDIA.
- When did Qwen3.6 35B A3B launch?
- Qwen3.6 35B A3B first shipped in 2024.
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