GraySoft
Download guIDE →
Model Comparison

ggml-org/embeddinggemma-300m-ggufvsmradermacher/nemotron-cascade-2-30b-a3b-i1-gguf

Side-by-side comparison of ggml-org/embeddinggemma-300m-gguf and mradermacher/nemotron-cascade-2-30b-a3b-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/nemotron-cascade-2-30b-a3b-i1-gguf

mradermacher · —

## About weighted/imatrix quants of https://huggingface.co/nvidia/Nemotron-Cascade-2-30B-A3B ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Nemotron-Cascade-2-30B-A3B-GGUF

Side-by-side Specifications

ggml-org/embeddinggemma-300m-ggufmradermacher/nemotron-cascade-2-30b-a3b-i1-gguf
Authorggml-orgmradermacher
Pipeline Task——
Library—transformers
Downloads349,29023,972
Likes2626
LicenseUnknownUnknown
Context Length——
Created2025-09-042026-03-20
Last Modified2025-09-042026-03-20
Tags
ggufbase_model:google/embeddinggemma-300mbase_model:quantized:google/embeddinggemma-300mendpoints_compatibleregion:us
transformersggufnvidianemotron-cascade-2reasoninggeneral-purposeSFTRLenbase_model:nvidia/Nemotron-Cascade-2-30B-A3B

View full details: ggml-org/embeddinggemma-300m-gguf · mradermacher/nemotron-cascade-2-30b-a3b-i1-gguf