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Model Comparison

city96/t5-v1_1-xxl-encoder-ggufvsteichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf

Side-by-side comparison of city96/t5-v1_1-xxl-encoder-gguf and teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf: downloads, license, context length, tasks, and benchmarks.

city96/t5-v1_1-xxl-encoder-gguf

city96 · —

This is a GGUF conversion of Google's T5 v1.1 XXL encoder model. The weights can be used with ./llama-embedding or with the ComfyUI-GGUF custom node together with image generation models. This is a **non imatrix** quant as llama.cpp doesn't support imatrix creation for T5 models…

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

city96/t5-v1_1-xxl-encoder-ggufteichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf
Authorcity96TeichAI
Pipeline Task——
Librarygguf—
Downloads35,81134,354
Likes51037
LicenseUnknownUnknown
Context Length——
Created2024-08-192026-04-04
Last Modified2024-08-202026-04-15
Tags
ggufenbase_model:google/t5-v1_1-xxlbase_model:quantized:google/t5-v1_1-xxllicense:apache-2.0endpoints_compatibleregion:us
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: city96/t5-v1_1-xxl-encoder-gguf · teichai/gemma-4-26b-a4b-it-claude-opus-distill-gguf