agier9/gte-Qwen1.5-7B-instruct-Q5_K_M-GGUF
This model was converted to GGUF format from Alibaba-NLP/gte-Qwen1.5-7B-instruct
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 agier9/gte-Qwen1.5-7B-instruct-Q5_K_M-GGUF --model gte-qwen1.5-7b-instruct-q5_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo agier9/gte-Qwen1.5-7B-instruct-Q5_K_M-GGUF --model gte-qwen1.5-7b-instruct-q5_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 gte-qwen1.5-7b-instruct-q5_k_m.gguf -n 128
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Evaluation results
- accuracy on MTEB AmazonCounterfactualClassification (en)test set self-reported83.164
- ap on MTEB AmazonCounterfactualClassification (en)test set self-reported49.377
- f1 on MTEB AmazonCounterfactualClassification (en)test set self-reported77.530
- accuracy on MTEB AmazonPolarityClassificationtest set self-reported96.696
- ap on MTEB AmazonPolarityClassificationtest set self-reported94.909
- f1 on MTEB AmazonPolarityClassificationtest set self-reported96.695
- accuracy on MTEB AmazonReviewsClassification (en)test set self-reported62.168
- f1 on MTEB AmazonReviewsClassification (en)test set self-reported60.411
- map_at_1 on MTEB ArguAnatest set self-reported36.415
- map_at_10 on MTEB ArguAnatest set self-reported53.505