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Model Comparison

ggml-org/embeddinggemma-300m-ggufvsmradermacher/aum-1-70b-i1-gguf

Side-by-side comparison of ggml-org/embeddinggemma-300m-gguf and mradermacher/aum-1-70b-i1-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/embeddinggemma-300m-gguf

ggml-org · —

# embeddinggemma-300M GGUF Recommended way to run this model: ``sh llama-server -hf ggml-org/embeddinggemma-300M-GGUF --embeddings ` Then the endpoint can be accessed at http://localhost:8080/embedding, for example using curl: `console curl --request POST \ --url http://localhos…

mradermacher/aum-1-70b-i1-gguf

mradermacher · —

## About weighted/imatrix quants of https://huggingface.co/Nitish-Garikoti/aum-1-70B ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/aum-1-70B-GGUF

Side-by-side Specifications

ggml-org/embeddinggemma-300m-ggufmradermacher/aum-1-70b-i1-gguf
Authorggml-orgmradermacher
Pipeline Task——
Library—transformers
Downloads349,29031,795
Likes260
LicenseUnknownUnknown
Context Length——
Created2025-09-042026-03-31
Last Modified2025-09-042026-04-03
Tags
ggufbase_model:google/embeddinggemma-300mbase_model:quantized:google/embeddinggemma-300mendpoints_compatibleregion:us
transformersggufllamathinkingreasoningdistillationsftpytorchenbase_model:Nitish-Garikoti/aum-1-70B

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