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ggml-org/embeddinggemma-300m-qat-q8_0-ggufvsricharderkhov/qwen_-_qwen1.5-0.5b-gguf

Side-by-side comparison of ggml-org/embeddinggemma-300m-qat-q8_0-gguf and richarderkhov/qwen_-_qwen1.5-0.5b-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/embeddinggemma-300m-qat-q8_0-gguf

ggml-org · feature-extraction

# embeddinggemma-300m-qat-q8_0 GGUF Recommended way to run this model: ``sh llama-server -hf ggml-org/embeddinggemma-300m-qat-q8_0-GGUF --embeddings ` Then the endpoint can be accessed at http://localhost:8080/embedding, for example using curl: `console curl --request POST \ --u…

richarderkhov/qwen_-_qwen1.5-0.5b-gguf

RichardErkhov · —

Side-by-side Specifications

ggml-org/embeddinggemma-300m-qat-q8_0-ggufricharderkhov/qwen_-_qwen1.5-0.5b-gguf
Authorggml-orgRichardErkhov
Pipeline Taskfeature-extraction—
Librarysentence-transformers—
Downloads47,80618,959
Likes150
LicenseUnknownUnknown
Context Length——
Created2025-09-042024-04-06
Last Modified2025-09-152024-04-11
Tags
sentence-transformersggufsentence-similarityfeature-extractionbase_model:google/embeddinggemma-300m-qat-q8_0-unquantizedbase_model:quantized:google/embeddinggemma-300m-qat-q8_0-unquantizedlicense:gemmaendpoints_compatibleregion:us
ggufarxiv:2309.16609endpoints_compatibleregion:usconversational

View full details: ggml-org/embeddinggemma-300m-qat-q8_0-gguf · richarderkhov/qwen_-_qwen1.5-0.5b-gguf