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Model Comparison

mradermacher/minimax-m2.5-carve-v1-bf16-i1-ggufvsteichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf

Side-by-side comparison of mradermacher/minimax-m2.5-carve-v1-bf16-i1-gguf and teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf: downloads, license, context length, tasks, and benchmarks.

mradermacher/minimax-m2.5-carve-v1-bf16-i1-gguf

mradermacher · —

## About weighted/imatrix quants of https://huggingface.co/vpyn/MiniMax-M2.5-CARVE-v1-BF16 ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/MiniMax-M2.5-CARVE-v1-BF16-GGUF

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-…

Side-by-side Specifications

mradermacher/minimax-m2.5-carve-v1-bf16-i1-ggufteichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf
AuthormradermacherTeichAI
Pipeline Task——
Librarytransformers—
Downloads22,56534,354
Likes037
LicenseUnknownUnknown
Context Length——
Created2026-03-252026-04-04
Last Modified2026-03-302026-04-15
Tags
transformersggufenbase_model:vpyn/MiniMax-M2.5-CARVE-v1-BF16base_model:quantized:vpyn/MiniMax-M2.5-CARVE-v1-BF16endpoints_compatibleregion:usimatrixconversational
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

View full details: mradermacher/minimax-m2.5-carve-v1-bf16-i1-gguf · teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf