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Model Comparison

teichai/gemma-4-26b-a4b-it-claude-opus-distill-ggufvsvlsav/vikhr-nemo-12b-instruct-r-21-09-24-q8_0-gguf

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

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-…

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

teichai/gemma-4-26b-a4b-it-claude-opus-distill-ggufvlsav/vikhr-nemo-12b-instruct-r-21-09-24-q8_0-gguf
AuthorTeichAIVlSav
Pipeline Task——
Library——
Downloads34,354134,084
Likes374
LicenseUnknownUnknown
Context Length——
Created2026-04-042024-09-22
Last Modified2026-04-152024-09-22
Tags
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
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: teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf · vlsav/vikhr-nemo-12b-instruct-r-21-09-24-q8_0-gguf