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
1.6 M
Likes
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Download history
daily snapshots · 52 days
▲ 581 K in the last 30 days (54.6%)
1.6 M1.1 M
Aug 22Sep 1Sep 11Sep 20
1.6 M869 K
Jul 31Aug 17Sep 3Sep 20
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