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Model Comparison

ggml-org/embeddinggemma-300m-ggufvsshing3232/sakura-1.5b-qwen2.5-v1.0-gguf-imx

Side-by-side comparison of ggml-org/embeddinggemma-300m-gguf and shing3232/sakura-1.5b-qwen2.5-v1.0-gguf-imx: 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…

shing3232/sakura-1.5b-qwen2.5-v1.0-gguf-imx

shing3232 · —

Side-by-side Specifications

ggml-org/embeddinggemma-300m-ggufshing3232/sakura-1.5b-qwen2.5-v1.0-gguf-imx
Authorggml-orgshing3232
Pipeline Task——
Library——
Downloads349,29028,433
Likes262
LicenseUnknownUnknown
Context Length——
Created2025-09-042024-11-08
Last Modified2025-09-042024-11-08
Tags
ggufbase_model:google/embeddinggemma-300mbase_model:quantized:google/embeddinggemma-300mendpoints_compatibleregion:us
ggufendpoints_compatibleregion:usimatrixconversational

View full details: ggml-org/embeddinggemma-300m-gguf · shing3232/sakura-1.5b-qwen2.5-v1.0-gguf-imx