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ccssne/gemma-4-31b-it-heretic-ara-ggufvsvlsav/vikhr-nemo-12b-instruct-r-21-09-24-q8_0-gguf

Side-by-side comparison of ccssne/gemma-4-31b-it-heretic-ara-gguf and vlsav/vikhr-nemo-12b-instruct-r-21-09-24-q8_0-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.

vlsav/vikhr-nemo-12b-instruct-r-21-09-24-q8_0-gguf

VlSav · —

This model was converted to GGUF format from Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Side-by-side Specifications

ccssne/gemma-4-31b-it-heretic-ara-ggufvlsav/vikhr-nemo-12b-instruct-r-21-09-24-q8_0-gguf
AuthorCCSSNEVlSav
Pipeline Task——
Librarygguf—
Downloads48,714134,084
Likes44
LicenseUnknownUnknown
Context Length——
Created2026-04-032024-09-22
Last Modified2026-04-032024-09-22
Tags
ggufunslothgemma-4quantizedbase_model:trohrbaugh/gemma-4-31b-it-heretic-arabase_model:quantized:trohrbaugh/gemma-4-31b-it-heretic-araendpoints_compatibleregion:usconversational
ggufllama-cppgguf-my-repoenrudataset:Vikhrmodels/GrandMaster-PRO-MAXdataset:Vikhrmodels/Grounded-RAG-RU-v2base_model:Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24base_model:quantized:Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24license:apache-2.0

View full details: ccssne/gemma-4-31b-it-heretic-ara-gguf · vlsav/vikhr-nemo-12b-instruct-r-21-09-24-q8_0-gguf