Ornith-1.0-397B-FP8 vs DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF
Specs, VRAM requirements and download trends — updated 10 November 2026.
deepreinforce-ai · A · Open weights
Params
397.0 B
Context
—
30d
673 K
mit · commercial OK
ISTA-DASLab · B · Open weights
Params
763.2 B
Context
—
30d
3.3 M
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Ornith-1.0-397B-FP8 | DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF |
|---|---|---|
| Parameters | 397.0 B | 763.2 B |
| Architecture | Qwen3_5MoeForConditionalGeneration | — |
| Context length | — | — |
| Licence | mit | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 672,806 | 3,270,121 |
| Downloads all time | 771 K | 3.3 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2026-06-25 | 2026-10-23 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.3 M412 K
Ornith-1.0-397B-FP8
DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Ornith-1.0-397B-FP8 · fp16
505.7 GB / 24 GB
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