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Model Comparison

ggml-org/gemma-4-26b-a4b-it-ggufvsunsloth/mistral-large-3-675b-instruct-2512-gguf

Side-by-side comparison of ggml-org/gemma-4-26b-a4b-it-gguf and unsloth/mistral-large-3-675b-instruct-2512-gguf: downloads, license, context length, tasks, and benchmarks.

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

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

ggml-org/gemma-4-26b-a4b-it-ggufunsloth/mistral-large-3-675b-instruct-2512-gguf
Authorggml-orgunsloth
Pipeline Task——
Library——
Downloads238,05530,621
Likes5217
LicenseUnknownUnknown
Context Length——
Created2026-04-012025-12-07
Last Modified2026-04-122025-12-16
Tags
ggufbase_model:google/gemma-4-26B-A4B-itbase_model:quantized:google/gemma-4-26B-A4B-itendpoints_compatibleregion:usconversational
ggufmistral-commonmistralunslothenfresdeitpt

View full details: ggml-org/gemma-4-26b-a4b-it-gguf · unsloth/mistral-large-3-675b-instruct-2512-gguf