ISTA-DASLab / text-generation Open weights updated 1 week ago

DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF

Non-uniform GGUF quantizations of a 763B-parameter, 384-expert MoE, produced with GSQ and RCO.

Params
763.2 B
Context
—
Downloads 30d
3.3 M
Likes
646
Commercial use: allowed mit Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 16 days
3.3 M412 K
Oct 26Oct 31Nov 5Nov 10

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
mmproj-DeepSeek-V4.1-Flash-1017-BF16.gguf GGUF 1.0 GB 116.1 GB ❌ Won’t fit
DeepSeek-V4.1-Flash-1017-GSQ-RCO-IQ2_XS-00002-of-00006.gguf IQ2_XS 39.6 GB 158.5 GB ❌ Won’t fit
DeepSeek-V4.1-Flash-1017-GSQ-RCO-IQ1_M-00004-of-00006.gguf IQ1_M 39.7 GB 158.7 GB ❌ Won’t fit
DeepSeek-V4.1-Flash-1017-GSQ-RCO-IQ2_XXS-00003-of-00006.gguf IQ2_XXS 39.7 GB 158.7 GB ❌ Won’t fit
DeepSeek-V4.1-Flash-Engram-IQ4_NL.gguf IQ4_NL 110.6 GB 236.6 GB ❌ Won’t fit
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub
~ · ollama · IQ1_M
$ ollama run deepseek-v4-1-flash-1017-gsq-rco-gguf

# pin the quantization explicitly
$ ollama run deepseek-v4-1-flash-1017-gsq-rco-gguf-iq1_m
est. VRAM 158.7 GBon RTX 4090 · 24 GBJSON API →

Specifications

Parameters
763.2 B
Licence
mit
First seen on the Hub
2026-10-23
Base model
DeepSeek-V4.1-Flash-1017
Training datasets
undisclosed
Added to our catalog
2026-10-26
Compare with any text-generation model