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ggml-org/gemma-4-26b-a4b-it-ggufvsvlsav/vikhr-nemo-12b-instruct-r-21-09-24-q8_0-gguf

Side-by-side comparison of ggml-org/gemma-4-26b-a4b-it-gguf and vlsav/vikhr-nemo-12b-instruct-r-21-09-24-q8_0-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/gemma-4-26b-a4b-it-gguf

ggml-org · —

# gemma-4-26B-A4B-it-GGUF Recommended way to run this model: ``sh llama-server -hf ggml-org/gemma-4-26B-A4B-it-GGUF `` Then, access http://localhost:8080

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

ggml-org/gemma-4-26b-a4b-it-ggufvlsav/vikhr-nemo-12b-instruct-r-21-09-24-q8_0-gguf
Authorggml-orgVlSav
Pipeline Task——
Library——
Downloads238,055134,084
Likes524
LicenseUnknownUnknown
Context Length——
Created2026-04-012024-09-22
Last Modified2026-04-122024-09-22
Tags
ggufbase_model:google/gemma-4-26B-A4B-itbase_model:quantized:google/gemma-4-26B-A4B-itendpoints_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: ggml-org/gemma-4-26b-a4b-it-gguf · vlsav/vikhr-nemo-12b-instruct-r-21-09-24-q8_0-gguf