nadeem1362/mxbai-embed-large-v1-Q4_K_M-GGUF
This model was converted to GGUF format from mixedbread-ai/mxbai-embed-large-v1
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew.
brew install ggerganov/ggerganov/llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo nadeem1362/mxbai-embed-large-v1-Q4_K_M-GGUF --model mxbai-embed-large-v1.Q4_K_M.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo nadeem1362/mxbai-embed-large-v1-Q4_K_M-GGUF --model mxbai-embed-large-v1.Q4_K_M.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m mxbai-embed-large-v1.Q4_K_M.gguf -n 128
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Spaces using nadeem1362/mxbai-embed-large-v1-Q4_K_M-GGUF 2
Evaluation results
- accuracy on MTEB AmazonCounterfactualClassification (en)test set self-reported75.045
- ap on MTEB AmazonCounterfactualClassification (en)test set self-reported37.736
- f1 on MTEB AmazonCounterfactualClassification (en)test set self-reported68.927
- accuracy on MTEB AmazonPolarityClassificationtest set self-reported93.840
- ap on MTEB AmazonPolarityClassificationtest set self-reported90.932
- f1 on MTEB AmazonPolarityClassificationtest set self-reported93.830
- accuracy on MTEB AmazonReviewsClassification (en)test set self-reported49.184
- f1 on MTEB AmazonReviewsClassification (en)test set self-reported48.742
- map_at_1 on MTEB ArguAnatest set self-reported41.252
- map_at_10 on MTEB ArguAnatest set self-reported57.778