QuantTrio/Qwen3.6-35B-A3B-AWQ
image-text-to-text model by QuantTrio
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Base model: Qwen/Qwen3.6-35B-A3B This repo quantizes the model using data-free quantization tool. (no calibration dataset was involved) As of 2026-04-16, make sure your system has cuda12.8 or cuda13.0 installed. Then, create a fresh Python environment (e.g. python3.12 venv) and run: vLLM Official Guide Note: When launching with TP=8, include --enable-expert-parallel; otherwise the expert tensors wouldn’t be evenly sharded across GPU devices. [](https://chat.qwen.ai) Following the February release of the Qwen3.5 series, we're pleased to share the first open-weight variant of Qwen3.6. Built on direct feedback from the community, Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience. This release delivers substantial upgrades, particularly in For more details, please refer to our blog post Qwen3.6-35B-A3B. Qwen3.5-27BGemma4-31BQwen3.5-35BA3BGemma4-26BA4BQwen3.6-35BA3B Coding Agent SWE-bench Verified 75.0 52.0 70.0 17.4 73.4 SWE-bench Multilingual 69.3 51.7 60.3 17.3 67.2 SWE-bench Pro 51.2 35.7 44.6 13.8 49.5 Terminal-Bench 2.0 41.6 42.9 40.5…
Read the full model card ↗ · Preview checked 2026-09-22T06:48:15.909Z
Inside the original model card — Document outline
- Qwen3.6-35B-A3B-AWQ
- 【Dependencies / Installation】
- 【vLLM Startup Command】
- 【Logs】
- 【Model Files】
- 【Model Download】
- 【Overview】
- Qwen3.6-35B-A3B
- Qwen3.6 Highlights
- Model Overview
- Benchmark Results
- Language
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
QuantTrio/Qwen3.6-35B-A3B-AWQ is a image-text-to-text model repository published by QuantTrio on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 692,944
- Cumulative likes
- 36
- Hugging Face trending score
- 1
- Reported safetensors parameters
- 35,951,822,704
- Architecture
- Qwen3_5MoeForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-04-17T04:12:59.000Z
- Last modified
- 2026-04-17T05:10:04.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.6-35B-A3B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-22T06:37:19.299Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.