RedHatAI/Qwen3.6-35B-A3B-NVFP4

image-text-to-text model by RedHatAI

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Qwen3.6-35B-A3B-NVFP4 This is a preliminary version (and subject to change) of NVFP4 quantized Qwen/Qwen3.6-35B-A3B model. The model has both weights and activations quantized to NVFP4 format with vllm-project/llm-compressor. It is compatible and tested against vllm main. Deploy it with: vllm serve RedHatAI/Qwen3.6-35B-A3B-NVFP4 --reasoning-parser qwen3 --moebackend flashinfercutlass. If you have hardware with more compute than memory bandwidth, you may prefer this MoE variant for performance reasons. Run this script with LLM Compressor main and latest transformers. This model was evaluated on GSM8K-Platinum, MMLU-Pro, IFEval, Math 500, GPQA Diamond, AIME 25, and LiveCodeBench v6 using lm-evaluation-harness and lighteval, served with vLLM using --language-model-only. The results were obtained using the following commands: The model was served with vLLM using the following command: Each benchmark was run 3 times with different seeds (42, 1234, 4158), except AIME 25 which used 8 seeds…

RedHatAI/Qwen3.6-35B-A3B-NVFP4 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-30T18:29:58.721Z

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  1. NVFP4 Quantized RedHatAI/Qwen3.6-35B-A3B-NVFP4
  2. Creation Script:
  3. Evaluation
  4. Accuracy
  5. Reproduction
  6. lm-eval benchmarks
  7. GSM8K-Platinum (0-shot)
  8. IFEval (0-shot)
  9. MMLU-Pro (0-shot)
  10. lighteval benchmarks
  11. Math 500, GPQA Diamond, LiveCodeBench v6 (0-shot)
  12. AIME 25 (0-shot)

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Model overview

RedHatAI/Qwen3.6-35B-A3B-NVFP4 is a image-text-to-text model repository published by RedHatAI 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)
975,587
Cumulative likes
196
Hugging Face trending score
0
Reported safetensors parameters
34,660,610,688
Architecture
Qwen3_5MoeForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-04-17T00:40:00.000Z
Last modified
2026-08-13T13:12:19.000Z

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.

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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