DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-IQ2_XXS-GGUF
This repository provides a standalone, weight-baked abliterated (uncensored) GGUF build of ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF (IQ2XXS).
Params
763.2 B
Context
—
Downloads 30d
490 K
Likes
105
Download history
daily snapshots · 12 days490 K172 K
Oct 30Nov 3Nov 7Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict 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_XXS-00003-of-00006.gguf | IQ2_XXS | 39.9 GB | 158.8 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 run deepseek-v4-1-flash-1017-uncensored-gsq-rco-iq2-xxs-gguf # pin the quantization explicitly $ ollama run deepseek-v4-1-flash-1017-uncensored-gsq-rco-iq2-xxs-gguf-iq2_xxs
$ huggingface-cli download Abiray/DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-IQ2_XXS-GGUF-GGUF \
DeepSeek-V4.1-Flash-1017-GSQ-RCO-IQ2_XXS-00003-of-00006.gguf --local-dir .
$ llama-cli -m DeepSeek-V4.1-Flash-1017-GSQ-RCO-IQ2_XXS-00003-of-00006.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/deepseek-v4-1-flash-1017-uncensored-gsq-rco-iq2-xxs-gguf
{
"hf_id": "Abiray/DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-IQ2_XXS-GGUF",
"params_b": 763.21,
"context_length": null,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 490064,
"vram_estimates": [
{ "quant": "IQ2_XXS", "gb": 158.8 },
{ "quant": "IQ4_NL", "gb": 236.6 }
],
"updated_at": "2026-11-01T01:00:11Z"
}
Specifications
- Parameters
- 763.2 B
- Licence
- mit
- First seen on the Hub
- 2026-10-24
- Base model
- DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-30
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model