KyleHessling1 / text-generation updated 1 month ago

Qwopus3.6-27B-Fusion-GGUF

> Research preview. This model attempts to combine the reasoning capability of > Qwopus3.6-27B-v2 with the code-execution capability of Qwopus3.6-27B-Coder — in a single 27B > model, without significant loss to either skill. In practice it behaves like a production model > with both capabilities fused, but it has not yet been through a full rigorous evaluation. If you > find issues, please reach out on X — @kylehessl...

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Downloads 30d
337 K
Likes
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Licence: other Not gated GGUF 1 languages View on Hugging Face ↗

Download history

daily snapshots · 24 days
338 K172 K
Aug 29Sep 6Sep 14Sep 21

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
Qwopus3.6-27B-Fusion-Q3_K_M.gguf Q3_K_M 13.5 GB 15.4 GB ✅ Runs comfortably
Qwopus3.6-27B-Fusion-Q4_K_M.gguf Q4_K_M 16.8 GB 19.0 GB ✅ Runs comfortably
Qwopus3.6-27B-Fusion-Q5_K_M.gguf Q5_K_M 19.5 GB 22.0 GB ⚠️ Tight — reduce context
Qwopus3.6-27B-Fusion-Q6_K.gguf Q6_K 22.4 GB 25.2 GB ❌ Won’t fit
Qwopus3.6-27B-Fusion-Q8_0.gguf Q8_0 29.0 GB 32.5 GB ❌ Won’t fit
Qwopus3.6-27B-Fusion-BF16.gguf GGUF 54.7 GB 60.6 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 · Q4_K_M
$ ollama run qwopus3-6-27b-fusion-gguf

# pin the quantization explicitly
$ ollama run qwopus3-6-27b-fusion-gguf-q4_k_m
est. VRAM 19.0 GBon RTX 4090 · 24 GBJSON API →

Specifications

Licence
other
First seen on the Hub
2026-07-20
Base model
Qwen3.6-27B
Training datasets
undisclosed
Added to our catalog
2026-08-29

Family

Base model and the most-downloaded derivatives in the catalog.

Compare with any text-generation model