Qwen3.8-27B-MTP-NVFP4
Qwen/Qwen3.8-27B (dense 27.8B hybrid DeltaNet + full-attention, Qwen3-VL vision, native MTP head) quantized to NVFP4 (W4A4, group 16) with llm-compressor. 55.6 GB bf16 → 20.6 GB.
Params
27.4 B
Context
—
Downloads 30d
200 K
Likes
44
Download history
tracking started — chart appears after 7 days of snapshots (1 recorded)200 K downloads in the last 30 days
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 | u8 | 20.6 GB | 27.2 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-8-27b-mtp-nvfp4
{
"hf_id": "sakamakismile/Qwen3.8-27B-MTP-NVFP4",
"params_b": 27.36,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 199900,
"vram_estimates": [
{ "quant": "u8", "gb": 27.2 }
],
"updated_at": "2026-09-22T01:00:19Z"
}
Specifications
- Architecture
- Qwen3_5ForConditionalGeneration
- Parameters
- 27.4 B
- Tensor type
- U8
- Licence
- apache-2.0
- First seen on the Hub
- 2026-08-14
- Base model
- Qwen3.8-27B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-22
Compare with any text-generation model