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Model Comparison

bartowski/ministral-8b-instruct-2410-ggufvsccssne/gemma-4-31b-it-heretic-ara-gguf

Side-by-side comparison of bartowski/ministral-8b-instruct-2410-gguf and ccssne/gemma-4-31b-it-heretic-ara-gguf: downloads, license, context length, tasks, and benchmarks.

bartowski/ministral-8b-instruct-2410-gguf

bartowski · text-generation

Using llama.cpp release b3930 for quantization. Original model: https://huggingface.co/mistralai/Ministral-8B-Instruct-2410 All quants made using imatrix option with dataset from here Run them in LM Studio

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.

Side-by-side Specifications

bartowski/ministral-8b-instruct-2410-ggufccssne/gemma-4-31b-it-heretic-ara-gguf
AuthorbartowskiCCSSNE
Pipeline Tasktext-generation—
Library—gguf
Downloads22,66448,714
Likes564
LicenseUnknownUnknown
Context Length——
Created2024-10-212026-04-03
Last Modified2024-10-212026-04-03
Tags
gguftext-generationenfrdeesitptzhja
ggufunslothgemma-4quantizedbase_model:trohrbaugh/gemma-4-31b-it-heretic-arabase_model:quantized:trohrbaugh/gemma-4-31b-it-heretic-araendpoints_compatibleregion:usconversational

View full details: bartowski/ministral-8b-instruct-2410-gguf · ccssne/gemma-4-31b-it-heretic-ara-gguf