This is a GGUF-quantized (Q8_0) version of the KaLM-embedding-multilingual-mini-instruct-v2.5 model. It supports feature extraction, sentence embeddings, and multilingual instruction following. The model is designed for local inference using tools compatible with the GGUF format such as llama.cpp.
KaLM Embedding Multilingual Mini Instruct V2.5 Q8 0 sits in PulseGate's Foundation models & chat category. It focuses on running multilingual embedding and instruction-tuned models locally with reduced memory requirements. It is built as an open-source project for developers. KaLM Embedding Multilingual Mini Instruct V2.5 Q8 0 is open source under the MIT license. KaLM Embedding Multilingual Mini Instruct V2.5 Q8 0 is available on the web, the command line, and API.
Behind KaLM Embedding Multilingual Mini Instruct V2.5 Q8 0 is Aashraf995, and it first shipped in 2023. The project is developed in the open on GitHub with 121.8k stars and 1.2k commits in the last 90 days. Key capabilities include sentence embeddings, multilingual support, and GGUF format. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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