Qwen3.8-Flash-Next-GSQ-RCO-GGUF vs Ternary-Bonsai-2-2B-gguf
Specs, VRAM requirements and download trends — updated 9 November 2026.
ISTA-DASLab · A · Open weights
Params
180.0 B
Context
—
30d
6.8 M
apache-2.0 · commercial OK
prism-ml · B · Open weights
Params
2.0 B
Context
—
30d
994 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3.8-Flash-Next-GSQ-RCO-GGUF | Ternary-Bonsai-2-2B-gguf |
|---|---|---|
| Parameters | 180.0 B | 2.0 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 6,843,896 | 994,061 |
| Downloads all time | 11.0 M | 994 K |
| Quantizations on the Hub | GGUF | GGUF |
| Gated | No | No |
| First seen on the Hub | 2026-09-07 | 2026-09-23 |
Download trend
Daily snapshots, last 40 days (2 Oct – 10 Nov)
7.8 M931 K
Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Ternary-Bonsai-2-2B-gguf
Adjacent comparisons
Qwen3.8-Flash-Next-GSQ-RCO-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF
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Qwen3.8-Flash-Next vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.6-35B-A3B-MTP-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF