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Model Comparison

ccssne/gemma-4-26b-a4b-it-heretic-ara-ggufvsdat-lequoc/fast-apply-1.5b-v1.0_gguf

Side-by-side comparison of ccssne/gemma-4-26b-a4b-it-heretic-ara-gguf and dat-lequoc/fast-apply-1.5b-v1.0_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.

dat-lequoc/fast-apply-1.5b-v1.0_gguf

dat-lequoc · —

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

Side-by-side Specifications

ccssne/gemma-4-26b-a4b-it-heretic-ara-ggufdat-lequoc/fast-apply-1.5b-v1.0_gguf
AuthorCCSSNEdat-lequoc
Pipeline Task——
Librarygguftransformers
Downloads91,84934,562
Likes273
LicenseUnknownUnknown
Context Length——
Created2026-04-032024-10-24
Last Modified2026-04-032024-10-24
Tags
ggufunslothgemma-4quantizedmoebase_model:trohrbaugh/gemma-4-26B-A4B-it-heretic-arabase_model:quantized:trohrbaugh/gemma-4-26B-A4B-it-heretic-araendpoints_compatibleregion:usconversational
transformersggufqwen2text-generation-inferenceunslothenbase_model:unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bitbase_model:quantized:unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bitlicense:apache-2.0endpoints_compatible

View full details: ccssne/gemma-4-26b-a4b-it-heretic-ara-gguf · dat-lequoc/fast-apply-1.5b-v1.0_gguf