Huihui-Qwen3.8-27B-abliterated-GGUF vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
Specs, VRAM requirements and download trends — updated 10 November 2026.
huihui-ai · A · Open weights
Params
27.0 B
Context
—
30d
3.9 M
apache-2.0 · commercial OK
cdiamond · B · Open weights
Params
—
Context
—
30d
3.3 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Huihui-Qwen3.8-27B-abliterated-GGUF | Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF |
|---|---|---|
| Parameters | 27.0 B | — |
| Architecture | — | — |
| Context length | — | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 3,899,850 | 3,260,065 |
| Downloads all time | 8.7 M | 9.6 M |
| Quantizations on the Hub | GGUF | GGUF |
| Gated | No | No |
| First seen on the Hub | 2026-08-16 | 2026-08-17 |
Download trend
Daily snapshots, last 79 days (24 Aug – 10 Nov)
5.0 M943 K
Huihui-Qwen3.8-27B-abliterated-GGUF
Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
A overtook B on 3 Nov
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Huihui-Qwen3.8-27B-abliterated-GGUF · Q4_K
23.0 GB / 24 GB
Adjacent comparisons
Florence-2-base vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
Qwen3.8-27B vs Huihui-Qwen3.8-27B-abliterated-GGUF
Qwen3.8-27B vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
Qwen3-VL-8B-Instruct vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
gemma-4-31B-it vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
gemma-4-31B-it vs Huihui-Qwen3.8-27B-abliterated-GGUF