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Model Comparison

ccssne/gemma-4-26b-a4b-it-heretic-ara-ggufvsmaziyarpanahi/llama-3-8b-instruct-32k-v0.1-gguf

Side-by-side comparison of ccssne/gemma-4-26b-a4b-it-heretic-ara-gguf and maziyarpanahi/llama-3-8b-instruct-32k-v0.1-gguf: downloads, license, context length, tasks, and benchmarks.

ccssne/gemma-4-26b-a4b-it-heretic-ara-gguf

CCSSNE · —

# Gemma-4-26B-A4B-It-Heretic-GGUF Quantized using Unsloth on RTX 4070 Laptop . This version includes the vision adapter (mmproj) and is optimized for local inference.

maziyarpanahi/llama-3-8b-instruct-32k-v0.1-gguf

MaziyarPanahi · text-generation

# MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1-GGUF

Side-by-side Specifications

ccssne/gemma-4-26b-a4b-it-heretic-ara-ggufmaziyarpanahi/llama-3-8b-instruct-32k-v0.1-gguf
AuthorCCSSNEMaziyarPanahi
Pipeline Tasktext-generation
Librarygguftransformers
Downloads91,84988,170
Likes2758
LicenseUnknownUnknown
Context Length
Created2026-04-032024-04-24
Last Modified2026-04-032024-06-28
Tags
ggufunslothgemma-4quantizedmoebase_model:trohrbaugh/gemma-4-26B-A4B-it-heretic-arabase_model:quantized:trohrbaugh/gemma-4-26B-A4B-it-heretic-araendpoints_compatibleregion:usconversational
transformersggufmistralquantized2-bit3-bit4-bit5-bit6-bit8-bit

View full details: ccssne/gemma-4-26b-a4b-it-heretic-ara-gguf · maziyarpanahi/llama-3-8b-instruct-32k-v0.1-gguf