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Model Comparison

bartowski/ministral-8b-instruct-2410-ggufvsggml-org/gemma-4-26b-a4b-it-gguf

Side-by-side comparison of bartowski/ministral-8b-instruct-2410-gguf and ggml-org/gemma-4-26b-a4b-it-gguf: downloads, license, context length, tasks, and benchmarks.

bartowski/ministral-8b-instruct-2410-gguf

bartowski · text-generation

Using llama.cpp release b3930 for quantization. Original model: https://huggingface.co/mistralai/Ministral-8B-Instruct-2410 All quants made using imatrix option with dataset from here Run them in LM Studio

ggml-org/gemma-4-26b-a4b-it-gguf

ggml-org · —

# gemma-4-26B-A4B-it-GGUF Recommended way to run this model: ``sh llama-server -hf ggml-org/gemma-4-26B-A4B-it-GGUF `` Then, access http://localhost:8080

Side-by-side Specifications

bartowski/ministral-8b-instruct-2410-ggufggml-org/gemma-4-26b-a4b-it-gguf
Authorbartowskiggml-org
Pipeline Tasktext-generation—
Library——
Downloads22,664238,055
Likes5652
LicenseUnknownUnknown
Context Length——
Created2024-10-212026-04-01
Last Modified2024-10-212026-04-12
Tags
gguftext-generationenfrdeesitptzhja
ggufbase_model:google/gemma-4-26B-A4B-itbase_model:quantized:google/gemma-4-26B-A4B-itendpoints_compatibleregion:usconversational

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