Qwen3.5-122B-A10B-FP8 vs Huihui-Qwen3.8-27B-abliterated-GGUF
Specs, VRAM requirements and download trends — updated 18 September 2026.
Qwen · A · Open weights
Params
125.1 B
Context
—
30d
806 K
apache-2.0 · commercial OK
huihui-ai · B · Open weights
Params
27.0 B
Context
—
30d
3.9 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3.5-122B-A10B-FP8 | Huihui-Qwen3.8-27B-abliterated-GGUF |
|---|---|---|
| Parameters | 125.1 B | 27.0 B |
| Architecture | Qwen3_5MoeForConditionalGeneration | — |
| Context length | — | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 805,535 | 3,899,850 |
| Downloads all time | 7.8 M | 8.7 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2026-02-25 | 2026-08-16 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.9 M806 K
Qwen3.5-122B-A10B-FP8
Huihui-Qwen3.8-27B-abliterated-GGUF
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
Qwen3.5-122B-A10B-FP8 · fp16
159.1 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