Huihui-Qwen3.6-27B-abliterated-NVFP4-MTP
NVFP4 (modelopt W4A4) quant of Huihui-Qwen3.6-27B-abliterated — a Qwen3.5-family hybrid model (linear attention + periodic full attention) with a built-in MTP (multi-token-prediction) head for speculative decoding. Multimodal-capable (Qwen35ForConditionalGeneration, vision/video tokens) but served here as a text generation / reasoning + tool-calling model. Fits 4× 16 GB Blackwell (SM120).
Params
27.0 B
Context
—
Downloads 30d
195 K
Likes
64
Download history
daily snapshots · 33 days
▲ 90 K in the last 30 days (31.7%)
286 K195 K
Sep 26Oct 6Oct 16Oct 25
286 K195 K
Sep 23Oct 4Oct 15Oct 25
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/huihui-qwen3-6-27b-abliterated-nvfp4-mtp
{
"hf_id": "sakamakismile/Huihui-Qwen3.6-27B-abliterated-NVFP4-MTP",
"params_b": 27.00,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 195002,
"vram_estimates": [
{ "quant": "u8", "gb": 27.2 }
],
"updated_at": "2026-09-23T01:00:37Z"
}
Specifications
- Architecture
- Qwen3_5ForConditionalGeneration
- Parameters
- 27.0 B
- Tensor type
- U8
- Licence
- apache-2.0
- First seen on the Hub
- 2026-04-25
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-23
Compare with any text-generation model