Model Intelligence Sheet
qsardor/Viorra-Gemma-4-E2B-QAT-GGUF overview
Viorra Gemma 4 E2B QAT GGUF : GGUF This model was finetuned and converted to GGUF format using Unsloth https://github.com/unslothai/unsloth . Example usage : F…
Runs locally from ~941.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
3 GGUF files detected
Direct downloads for local inference
Model Details
Model README
---
tags:
- gguf
- llama.cpp
- unsloth
- vision-language-model
---
Viorra-Gemma-4-E2B-QAT-GGUF : GGUF
This model was finetuned and converted to GGUF format using Unsloth.
Example usage:
- For text only LLMs:
llama-cli -hf qsardor/Viorra-Gemma-4-E2B-QAT-GGUF --jinja - For multimodal models:
llama-mtmd-cli -hf qsardor/Viorra-Gemma-4-E2B-QAT-GGUF --jinja
Available Model files:
gemma-4-E2B-it-qat-q4_0-unquantized.Q8_0.ggufgemma-4-E2B-it-qat-q4_0-unquantized.BF16-mmproj.gguf
This was trained 2x faster with Unsloth
Run qsardor/Viorra-Gemma-4-E2B-QAT-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models