ukisai / text-generation Open weights updated 4 weeks ago

Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF

Website • Learn more • BF16 model • Standard GGUFs • Evaluation • Enterprise licensing

Params
27.0 B
Context
—
Downloads 30d
1.3 M
Likes
415
Licence: other Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 22 days
1.3 M231 K
Oct 2Oct 9Oct 16Oct 23

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
imatrix-swift15-v1mix.gguf GGUF 0.0 GB 4.6 GB ✅ Runs comfortably
Swift-1.5-Qwen3.8-27B-GSQ-RCO-IQ2_XS-mtp.gguf IQ2_XS 8.8 GB 14.2 GB ✅ Runs comfortably
Swift-1.5-Qwen3.8-27B-GSQ-RCO-IQ2_S-mtp.gguf IQ2_S 9.6 GB 15.1 GB ✅ Runs comfortably
Swift-1.5-Qwen3.8-27B-GSQ-RCO-IQ3_XXS-mtp.gguf IQ3_XXS 10.4 GB 16.0 GB ✅ Runs comfortably
Swift-1.5-Qwen3.8-27B-GSQ-RCO-IQ3_S-mtp.gguf IQ3_S 12.1 GB 17.9 GB ✅ Runs comfortably
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 · IQ2_S
$ ollama run swift-1-5-qwen3-8-27b-gsq-rco-gguf

# pin the quantization explicitly
$ ollama run swift-1-5-qwen3-8-27b-gsq-rco-gguf-iq2_s
est. VRAM 15.1 GBon RTX 4090 · 24 GBJSON API →

Specifications

Parameters
27.0 B
Licence
other
First seen on the Hub
2026-09-24
Training datasets
undisclosed
Added to our catalog
2026-10-02
Compare with any text-generation model