hotdogs/Agent.Xortron-GGUF overview
Agent.Xortron — GGUF GGUF quantizations of spinochenza/Agent.Xortron https://huggingface.co/spinochenza/Agent.Xortron , a Qwen3.5 based multimodal vision + tex…
Runs locally from ~888.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | hotdogs/Agent.Xortron-GGUF |
|---|---|
| Author | hotdogs |
| Pipeline | image-text-to-text |
| License | apache-2.0 |
| Base model | spinochenza/Agent.Xortron |
| Last modified | 2026-06-19T08:49:58.000Z |
Model README
---
license: apache-2.0
language:
- en
library_name: gguf
tags:
- qwen3.5
- multimodal
- vision
- gguf
- xortron
- uncensored
- image-text-to-text
base_model: spinochenza/Agent.Xortron
pipeline_tag: image-text-to-text
---
Agent.Xortron — GGUF
GGUF quantizations of spinochenza/Agent.Xortron, a Qwen3.5-based multimodal (vision + text) model fine-tuned for uncensored, conversational AI.
Model Details
| Property | Value |
|---|---|
| Base Architecture | Qwen3.5 (Qwen3_5ForConditionalGeneration) |
| Parameters | ~27B |
| Text Layers | 64 (hybrid linear + full attention) |
| Vision Encoder | 27-layer ViT, patch_size=16, temporal_patch_size=2 |
| Context Length | 262,144 tokens |
| Original Name | darkc0de/XORTRON.CriminalComputing.2026.27B.NEXT |
| License | Apache 2.0 |
Available Files
| File | Type | Size | Description |
|---|---|---|---|
| Agent.Xortron-f16.gguf | F16 (text) | 51 GB | Full-precision text model (float16) |
| mmproj-Agent.Xortron-bf16.gguf | mmproj BF16 | 889 MB | Vision projector for multimodal inference |
Pending (not yet uploaded)
Agent.Xortron-Q6_K.gguf— 6-bit quantization of the text model (~22 GB estimated)
Usage
llama.cpp / llama-server
# Multimodal (vision + text) inference
llama-server \
--hf-repo hotdogs/Agent.Xortron-GGUF \
--hf-file Agent.Xortron-f16.gguf \
--mmproj mmproj-Agent.Xortron-bf16.gguf \
-c 8192 \
--port 8080
Python (llama-cpp-python)
from llama_cpp import Llama
llm = Llama(
model_path="Agent.Xortron-f16.gguf",
mmproj="mmproj-Agent.Xortron-bf16.gguf",
n_ctx=8192,
n_gpu_layers=-1, # offload all layers to GPU if available
)
Conversion Details
Converted from the original safetensors using llama.cpp convert_hf_to_gguf.py:
# Text model
python convert_hf_to_gguf.py ./Agent.Xortron \
--outtype f16 \
--outfile Agent.Xortron-f16.gguf
# Vision projector (mmproj)
python convert_hf_to_gguf.py ./Agent.Xortron \
--mmproj --outtype bf16 \
--outfile mmproj-Agent.Xortron-bf16.gguf
Source
- Original Model: spinochenza/Agent.Xortron
- Conversion Tool: llama.cpp
- GGUF Format: ggml.org/docs/gguf
---
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Source: Hugging Face · Compare models