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.
Params
—
Context
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Downloads 30d
439 K
Likes
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Download history
daily snapshots · 55 days
▲ 79 K in the last 30 days (15.3%)
512 K439 K
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544 K199 K
Sep 17Oct 5Oct 23Nov 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 |
|---|---|---|---|---|
| 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 run apodex-1-1-mini-gguf # pin the quantization explicitly $ ollama run apodex-1-1-mini-gguf-q4_k_m
$ huggingface-cli download abenzerps/Apodex-1.1-mini-GGUF-GGUF \
Apodex-1.1-mini-Q4_K_M.gguf --local-dir .
$ llama-cli -m Apodex-1.1-mini-Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/apodex-1-1-mini-gguf
{
"hf_id": "abenzerps/Apodex-1.1-mini-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 439448,
"vram_estimates": [
{ "quant": "IQ1_M", "gb": 10.2 },
{ "quant": "IQ2_M", "gb": 14.0 }
],
"updated_at": "2026-10-12T01:00:09Z"
}
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