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abenzerps/Apodex-1.1-mini-GGUF overview

Apodex 1.1 mini GGUF GGUF quantizations of apodex/Apodex 1.1 mini https://huggingface.co/apodex/Apodex 1.1 mini , a 35.95B parameter Qwen3.5 MoE model for rese…

ggufllama.cppqwen3.5moemultimodalmtpapodextext-generationconversationalenzhbase_model:apodex/Apodex-1.1-minibase_model:quantized:apodex/Apodex-1.1-minilicense:apache-2.0endpoints_compatibleregion:usimatrix

Runs locally from ~857.6 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation
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Repository Files & Downloads

13 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Apodex-1.1-mini-IQ1_M.ggufGGUFIQ1_M8.22 GBDownload
Apodex-1.1-mini-IQ2_M.ggufGGUFIQ2_M11.40 GBDownload
Apodex-1.1-mini-IQ3_M.ggufGGUFIQ3_M14.92 GBDownload
Apodex-1.1-mini-Q2_K.ggufGGUFQ2_K12.34 GBDownload
Apodex-1.1-mini-Q3_K_M.ggufGGUFQ3_K_M15.99 GBDownload
Apodex-1.1-mini-Q4_K_M.ggufGGUFQ4_K_M20.22 GBDownload
Apodex-1.1-mini-Q4_K_S.ggufGGUFQ4_K_S18.97 GBDownload
Apodex-1.1-mini-Q4_Selective-Q4_K_M.ggufGGUFQ4_SELECTIVE18.41 GBDownload
Apodex-1.1-mini-Q5_K_M.ggufGGUFQ5_K_M23.61 GBDownload
Apodex-1.1-mini-Q5_K_S.ggufGGUFQ5_K_S22.88 GBDownload
Apodex-1.1-mini-Q6_K.ggufGGUFQ6_K27.20 GBDownload
Apodex-1.1-mini-Q8_0.ggufGGUFQ8_035.21 GBDownload
mmproj-Apodex-1.1-mini-F16.ggufGGUFF16857.6 MBDownload

Model Details

Model IDabenzerps/Apodex-1.1-mini-GGUF
Authorabenzerps
Pipelinetext-generation
Licenseapache-2.0
Base modelapodex/Apodex-1.1-mini
Last modified2026-09-01T20:35:10.000Z

Model README

---

license: apache-2.0

arxiv: 2608.23283

language:

- en

- zh

base_model: apodex/Apodex-1.1-mini

base_model_relation: quantized

pipeline_tag: text-generation

library_name: gguf

tags:

- gguf

- llama.cpp

- qwen3.5

- moe

- multimodal

- mtp

- apodex

---

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.

All model files retain the checkpoint's native MTP/NextN head. For image input, use the included F16 vision projector.

Upstream benchmarks

!Apodex-1.1 benchmark results

Results reported by Apodex AI from evaluations of the original Apodex-1.1 model using FrontierAgent, its agent harness and evaluation suite.

!Apodex-1.1-mini benchmark results

Results reported by Apodex AI from evaluations of the original Apodex-1.1-mini checkpoint using FrontierAgent. With the Agent Team workflow, it scored 27.7 on APEX-Agent, 50.2 on FrontierFinance, and 51.7 on FrontierScience-Research.

GGUF files

| Quantization | File | Size | Notes |

| --- | --- | ---: | --- |

| IQ1_M | Apodex-1.1-mini-IQ1_M.gguf | 8.82 GB | Ultra-low-memory option |

| IQ2_M | Apodex-1.1-mini-IQ2_M.gguf | 12.2 GB | Smallest recommended option |

| Q2_K | Apodex-1.1-mini-Q2_K.gguf | 13.2 GB | Maximum-compression K-quant |

| IQ3_M | Apodex-1.1-mini-IQ3_M.gguf | 16.0 GB | Importance-aware compact option |

| Q3_K_M | Apodex-1.1-mini-Q3_K_M.gguf | 17.2 GB | Standard Q3 K-quant |

| Q4 Selective | Apodex-1.1-mini-Q4_Selective-Q4_K_M.gguf | 19.8 GB | Compact custom Q4 alternative |

| Q4_K_S | Apodex-1.1-mini-Q4_K_S.gguf | 20.4 GB | Smaller Q4 option |

| Q4_K_M | Apodex-1.1-mini-Q4_K_M.gguf | 21.7 GB | Recommended default |

| Q5_K_S | Apodex-1.1-mini-Q5_K_S.gguf | 24.6 GB | Smaller Q5 option |

| Q5_K_M | Apodex-1.1-mini-Q5_K_M.gguf | 25.3 GB | Higher-quality Q5 option |

| Q6_K | Apodex-1.1-mini-Q6_K.gguf | 29.2 GB | High-quality option |

| Q8_0 | Apodex-1.1-mini-Q8_0.gguf | 37.8 GB | Near-lossless reference quantization |

| Vision projector | mmproj-Apodex-1.1-mini-F16.gguf | 899 MB | Required for image input |

The IQ builds use the included importance matrix. Q4 Selective is a compact custom Q4 alternative that selectively retains higher precision in key weights.

Usage

Use a current llama.cpp build with the included chat template.

llama-cli \
  -m Apodex-1.1-mini-Q4_K_M.gguf \
  -c 4096 -n 512 --temp 1.0 --top-p 0.95 \
  --jinja --chat-template-file chat_template.jinja \
  -p "Explain why reproducible builds matter."

For MTP speculative decoding:

llama-server \
  -m Apodex-1.1-mini-Q4_K_M.gguf \
  --spec-type draft-mtp --spec-draft-n-max 3 \
  --jinja --chat-template-file chat_template.jinja

For image input:

llama-mtmd-cli \
  -m Apodex-1.1-mini-Q4_K_M.gguf \
  -mm mmproj-Apodex-1.1-mini-F16.gguf \
  --image image.jpg -p "Describe this image."

Source

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