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Model Comparison

mradermacher/aum-1-70b-i1-ggufvsteichai/gemma-4-31b-it-claude-opus-distill-gguf

Side-by-side comparison of mradermacher/aum-1-70b-i1-gguf and teichai/gemma-4-31b-it-claude-opus-distill-gguf: downloads, license, context length, tasks, and benchmarks.

mradermacher/aum-1-70b-i1-gguf

mradermacher · —

## About weighted/imatrix quants of https://huggingface.co/Nitish-Garikoti/aum-1-70B ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/aum-1-70B-GGUF

teichai/gemma-4-31b-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-…

Side-by-side Specifications

mradermacher/aum-1-70b-i1-ggufteichai/gemma-4-31b-it-claude-opus-distill-gguf
AuthormradermacherTeichAI
Pipeline Task——
Librarytransformers—
Downloads31,795116,922
Likes063
LicenseUnknownUnknown
Context Length——
Created2026-03-312026-04-03
Last Modified2026-04-032026-04-15
Tags
transformersggufllamathinkingreasoningdistillationsftpytorchenbase_model:Nitish-Garikoti/aum-1-70B
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:Crownelius/Opus-4.6-Reasoning-2100x-formatted

View full details: mradermacher/aum-1-70b-i1-gguf · teichai/gemma-4-31b-it-claude-opus-distill-gguf