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Model Comparison

ccssne/gemma-4-31b-it-heretic-ara-ggufvsteichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf

Side-by-side comparison of ccssne/gemma-4-31b-it-heretic-ara-gguf and teichai/gemma-4-26b-a4b-it-claude-opus-distill-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.

teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf

TeichAI · —

> **Build Environment & Features:** > - **Fine-tuning Framework**: **Unsloth** > - **Reasoning Effort**: **High** > - This model bridges the gap between Google's exceptional open-weights architecture and Claude 4.6's profound reasoning capabilities, leveraging cutting-edge fine-…

Side-by-side Specifications

ccssne/gemma-4-31b-it-heretic-ara-ggufteichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf
AuthorCCSSNETeichAI
Pipeline Task——
Librarygguf—
Downloads48,71434,354
Likes437
LicenseUnknownUnknown
Context Length——
Created2026-04-032026-04-04
Last Modified2026-04-032026-04-15
Tags
ggufunslothgemma-4quantizedbase_model:trohrbaugh/gemma-4-31b-it-heretic-arabase_model:quantized:trohrbaugh/gemma-4-31b-it-heretic-araendpoints_compatibleregion:usconversational
gguftext-generation-inferencellama.cppunslothgemma4reasoningdataset:TeichAI/Claude-Opus-4.6-Reasoning-887xdataset:TeichAI/Claude-Sonnet-4.6-Reasoning-1100xdataset:TeichAI/claude-4.5-opus-high-reasoning-250xdataset:TeichAI/Claude-Opus-4.6-Reasoning-500x

View full details: ccssne/gemma-4-31b-it-heretic-ara-gguf · teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf