Qwen3.8-27B-MLX-8bit vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
Specs, VRAM requirements and download trends — updated 10 November 2026.
lmstudio-community · A · Open weights
Params
8.0 B
Context
—
30d
2.9 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 | Qwen3.8-27B-MLX-8bit | Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF |
|---|---|---|
| Parameters | 8.0 B | — |
| Architecture | Qwen3_5ForConditionalGeneration | — |
| Context length | — | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 2,893,827 | 3,260,065 |
| Downloads all time | 11.1 M | 9.6 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2026-08-14 | 2026-08-17 |
Download trend
Daily snapshots, last 80 days (23 Aug – 10 Nov)
5.0 M996 K
Qwen3.8-27B-MLX-8bit
Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3.8-27B-MLX-8bit · fp16
34.2 GB / 24 GB
Adjacent comparisons
Florence-2-base vs Qwen3.8-27B-iMatrix-NVFP4-MTP-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
Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF vs GLM-5.3-Flash