Huihui-Qwen3.8-27B-abliterated-GGUF vs gemma-4-26B-A4B-it-FP8-dynamic
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
RedHatAI · B · Open weights
Params
26.5 B
Context
—
30d
1.3 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Huihui-Qwen3.8-27B-abliterated-GGUF | gemma-4-26B-A4B-it-FP8-dynamic |
|---|---|---|
| Parameters | 27.0 B | 26.5 B |
| Architecture | — | Gemma4ForConditionalGeneration |
| Context length | — | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 3,899,850 | 1,336,011 |
| Downloads all time | 8.7 M | 7.2 M |
| Quantizations on the Hub | GGUF | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-08-16 | 2026-04-06 |
Download trend
Daily snapshots, last 79 days (24 Aug – 10 Nov)
3.9 M835 K
Huihui-Qwen3.8-27B-abliterated-GGUF
gemma-4-26B-A4B-it-FP8-dynamic
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
gemma-4-26B-A4B-it-FP8-dynamic · fp16
36.0 GB / 24 GB
Adjacent comparisons
Qwen3.8-27B vs Huihui-Qwen3.8-27B-abliterated-GGUF
gemma-4-31B-it vs Huihui-Qwen3.8-27B-abliterated-GGUF
gemma-4-26B-A4B-it vs Huihui-Qwen3.8-27B-abliterated-GGUF
Qwen3.8-27B-FP8 vs Huihui-Qwen3.8-27B-abliterated-GGUF
Huihui-Qwen3.8-27B-abliterated-GGUF vs Huihui-Qwen3.6-35B-A3B-abliterated-MTP-GGUF
Huihui-Qwen3.8-27B-abliterated-GGUF vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF