Downloads · 30 days
23
16% of all-time downloads
Chiwei/multilingual-e5-large-Q8_0-GGUF
multilingual-e5-large-Q8_0-GGUF is a feature extraction model from Chiwei. Use it when you need embeddings to search or compare text. It is set up for sentence-transformers. The card lists the license as mit.
This model was converted to GGUF format from intfloat/multilingual-e5-large using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
Downloads · 30 days
23
16% of all-time downloads
All-time downloads
148
Public
Repo size
603 MB
Likes
0
Public
Click a slice to open those files.
.gguf603 MB · 100%
From the Hugging Face model README
This model was converted to GGUF format from intfloat/multilingual-e5-large using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
llama-cli --hf-repo Chiwei/multilingual-e5-large-Q8_0-GGUF --hf-file multilingual-e5-large-q8_0.gguf -p "The meaning to life and the universe is"
llama-server --hf-repo Chiwei/multilingual-e5-large-Q8_0-GGUF --hf-file multilingual-e5-large-q8_0.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo Chiwei/multilingual-e5-large-Q8_0-GGUF --hf-file multilingual-e5-large-q8_0.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Chiwei/multilingual-e5-large-Q8_0-GGUF --hf-file multilingual-e5-large-q8_0.gguf -c 2048