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Model Comparison

ccssne/gemma-4-31b-it-heretic-ara-ggufvsjackrong/qwopus3.5-27b-v3-gguf

Side-by-side comparison of ccssne/gemma-4-31b-it-heretic-ara-gguf and jackrong/qwopus3.5-27b-v3-gguf: downloads, license, context length, tasks, and benchmarks.

ccssne/gemma-4-31b-it-heretic-ara-gguf

CCSSNE · —

# Gemma-4-31B-It-Heretic-GGUF Quantized using Unsloth on RTX 4070 Laptop . This version includes the vision adapter (mmproj) and is optimized for local inference.

jackrong/qwopus3.5-27b-v3-gguf

Jackrong · image-text-to-text

🔥 **Update (April 5):** I’ve released the complete training notebook, codebase, and a comprehensive PDF guide to help beginners and enthusiasts understand and reproduce this model's fine-tuning process. > ❤️ Special thanks to the **Unsloth** open-source library and @KyleHesslin…

Side-by-side Specifications

ccssne/gemma-4-31b-it-heretic-ara-ggufjackrong/qwopus3.5-27b-v3-gguf
AuthorCCSSNEJackrong
Pipeline Task—image-text-to-text
Librarygguf—
Downloads48,714154,097
Likes4324
LicenseUnknownUnknown
Context Length——
Created2026-04-032026-04-02
Last Modified2026-04-032026-04-16
Tags
ggufunslothgemma-4quantizedbase_model:trohrbaugh/gemma-4-31b-it-heretic-arabase_model:quantized:trohrbaugh/gemma-4-31b-it-heretic-araendpoints_compatibleregion:usconversational
ggufunslothqwenqwen3.5reasoningchain-of-thoughtloracompetitive-programmingimage-text-to-texten

View full details: ccssne/gemma-4-31b-it-heretic-ara-gguf · jackrong/qwopus3.5-27b-v3-gguf