Qwen3.5-35B-A3B-FP8
> [!Note] > This repository contains FP8-quantized model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc. > > The quantization method is fine-grained fp8 quantization with block size of 128, and its performance metrics are nearly identical to those of the original mod...
Params
36.0 B
Context
—
Downloads 30d
1.3 M
Likes
166
Download history
daily snapshots · 103 days
▲ 26 K in the last 30 days (2.0%)
1.4 M1.2 M
Oct 12Oct 22Nov 1Nov 10
1.7 M944 K
Aug 13Sep 12Oct 12Nov 10
1.7 M869 K
Jul 31Sep 3Oct 7Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f8_e4m3 | 37.5 GB | 47.1 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- Qwen3_5MoeForConditionalGeneration
- Parameters
- 36.0 B
- Tensor type
- F8_E4M3
- Licence
- apache-2.0
- First seen on the Hub
- 2026-02-25
- Base model
- Qwen3.5-35B-A3B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-31
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any image-text-to-text model