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teichai/gemma-4-26b-a4b-it-claude-opus-distill-ggufvsunsloth/mistral-large-3-675b-instruct-2512-gguf

Side-by-side comparison of teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf and unsloth/mistral-large-3-675b-instruct-2512-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-…

unsloth/mistral-large-3-675b-instruct-2512-gguf

unsloth · —

From our family of large models, **Mistral Large 3** is a state-of-the-art general-purpose **Multimodal granular Mixture-of-Experts** model with **41B active parameters** and **675B total parameters** trained from the ground up. This model is the instruct post-trained version, f…

Side-by-side Specifications

teichai/gemma-4-26b-a4b-it-claude-opus-distill-ggufunsloth/mistral-large-3-675b-instruct-2512-gguf
AuthorTeichAIunsloth
Pipeline Task
Library
Downloads34,35430,621
Likes3717
LicenseUnknownUnknown
Context Length
Created2026-04-042025-12-07
Last Modified2026-04-152025-12-16
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
ggufmistral-commonmistralunslothenfresdeitpt

View full details: teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf · unsloth/mistral-large-3-675b-instruct-2512-gguf