SmolVLM2-500M-Video-Instruct vs Huihui-Qwen3.8-27B-abliterated-GGUF
Specs, VRAM requirements and download trends — updated 18 September 2026.
HuggingFaceTB · A
Params
510 M
Context
—
30d
1.3 M
apache-2.0 · commercial OK
huihui-ai · B
Params
27.0 B
Context
—
30d
2.6 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | SmolVLM2-500M-Video-Instruct | Huihui-Qwen3.8-27B-abliterated-GGUF |
|---|---|---|
| Parameters | 510 M | 27.0 B |
| Architecture | SmolVLMForConditionalGeneration | — |
| Context length | — | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 1,252,958 | 2,623,928 |
| Downloads all time | 6.8 M | 3.2 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2025-02-11 | 2026-08-16 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
2.9 M943 K
SmolVLM2-500M-Video-Instruct
Huihui-Qwen3.8-27B-abliterated-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
SmolVLM2-500M-Video-Instruct · fp16
2.8 GB / 24 GB
Huihui-Qwen3.8-27B-abliterated-GGUF · Q4_K
23.0 GB / 24 GB
Adjacent comparisons
gemma-4-26B-A4B-it vs Huihui-Qwen3.8-27B-abliterated-GGUF
gemma-4-31B-it vs Huihui-Qwen3.8-27B-abliterated-GGUF
Qwen3.6-35B-A3B-FP8 vs Huihui-Qwen3.8-27B-abliterated-GGUF
Qwen3.8-27B vs Huihui-Qwen3.8-27B-abliterated-GGUF
Qwen3.8-27B-FP8 vs Huihui-Qwen3.8-27B-abliterated-GGUF
Qwen3-VL-8B-Instruct vs Huihui-Qwen3.8-27B-abliterated-GGUF