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Model Comparison

ggml-org/embeddinggemma-300m-ggufvslmstudio-community/nvidia-nemotron-3-super-120b-a12b-gguf

Side-by-side comparison of ggml-org/embeddinggemma-300m-gguf and lmstudio-community/nvidia-nemotron-3-super-120b-a12b-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…

lmstudio-community/nvidia-nemotron-3-super-120b-a12b-gguf

lmstudio-community · —

Side-by-side Specifications

ggml-org/embeddinggemma-300m-gguflmstudio-community/nvidia-nemotron-3-super-120b-a12b-gguf
Authorggml-orglmstudio-community
Pipeline Task——
Library——
Downloads349,29029,506
Likes268
LicenseUnknownUnknown
Context Length——
Created2025-09-042026-03-10
Last Modified2025-09-042026-03-11
Tags
ggufbase_model:google/embeddinggemma-300mbase_model:quantized:google/embeddinggemma-300mendpoints_compatibleregion:us
ggufbase_model:nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16base_model:quantized:nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16license:otherendpoints_compatibleregion:usconversational

View full details: ggml-org/embeddinggemma-300m-gguf · lmstudio-community/nvidia-nemotron-3-super-120b-a12b-gguf