abenzerps / text-generation updated 2 weeks ago

Apodex-1.1-mini-GGUF

GGUF quantizations of apodex/Apodex-1.1-mini, a 35.95B-parameter Qwen3.5 MoE model for research, data, files, code, and tool-driven work.

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Commercial use: allowed apache-2.0 Not gated GGUF 2 languages View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (5 recorded)
264 K downloads in the last 30 days

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
Apodex-1.1-mini-IQ1_M.gguf IQ1_M 8.8 GB 10.2 GB ✅ Runs comfortably
Apodex-1.1-mini-IQ2_M.gguf IQ2_M 12.2 GB 14.0 GB ✅ Runs comfortably
Apodex-1.1-mini-Q2_K.gguf Q2_K 13.2 GB 15.1 GB ✅ Runs comfortably
Apodex-1.1-mini-IQ3_M.gguf IQ3_M 16.0 GB 18.1 GB ✅ Runs comfortably
Apodex-1.1-mini-Q3_K_M.gguf Q3_K_M 17.2 GB 19.4 GB ✅ Runs comfortably
Apodex-1.1-mini-Q4_Selective-Q4_K_M.gguf Q4_SELECTIVE 19.8 GB 22.2 GB ⚠️ Tight — reduce context
Apodex-1.1-mini-Q4_K_S.gguf Q4_K_S 20.4 GB 22.9 GB ⚠️ Tight — reduce context
Apodex-1.1-mini-Q4_K_M.gguf Q4_K_M 21.7 GB 24.4 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 apodex-1-1-mini-gguf

# pin the quantization explicitly
$ ollama run apodex-1-1-mini-gguf-q4_k_m
est. VRAM 24.4 GBon RTX 4090 · 24 GBJSON API →

Specifications

Licence
apache-2.0
First seen on the Hub
2026-08-24
Training datasets
undisclosed
Added to our catalog
2026-09-17
Compare with any text-generation model