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Model Comparison

ccssne/gemma-4-31b-it-heretic-ara-ggufvsunsloth/glm-4.6v-flash-gguf

Side-by-side comparison of ccssne/gemma-4-31b-it-heretic-ara-gguf and unsloth/glm-4.6v-flash-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.

unsloth/glm-4.6v-flash-gguf

unsloth · image-text-to-text

This model is part of the GLM-V family of models, introduced in the paper GLM-4.1V-Thinking and GLM-4.5V: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

Side-by-side Specifications

ccssne/gemma-4-31b-it-heretic-ara-ggufunsloth/glm-4.6v-flash-gguf
AuthorCCSSNEunsloth
Pipeline Taskimage-text-to-text
Librarygguftransformers
Downloads48,71419,351
Likes4100
LicenseUnknownUnknown
Context Length
Created2026-04-032025-12-09
Last Modified2026-04-032025-12-27
Tags
ggufunslothgemma-4quantizedbase_model:trohrbaugh/gemma-4-31b-it-heretic-arabase_model:quantized:trohrbaugh/gemma-4-31b-it-heretic-araendpoints_compatibleregion:usconversational
transformersggufunslothimage-text-to-textzhenarxiv:2507.01006base_model:zai-org/GLM-4.6V-Flashbase_model:quantized:zai-org/GLM-4.6V-Flashlicense:mit

View full details: ccssne/gemma-4-31b-it-heretic-ara-gguf · unsloth/glm-4.6v-flash-gguf