noxinc/portuguese-Phi3-Tom-Cat-128k-instruct-Q5_K_M-GGUF
This model was converted to GGUF format from rhaymison/portuguese-Phi3-Tom-Cat-128k-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 noxinc/portuguese-Phi3-Tom-Cat-128k-instruct-Q5_K_M-GGUF --model portuguese-phi3-tom-cat-128k-instruct-q5_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo noxinc/portuguese-Phi3-Tom-Cat-128k-instruct-Q5_K_M-GGUF --model portuguese-phi3-tom-cat-128k-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 portuguese-phi3-tom-cat-128k-instruct-q5_k_m.gguf -n 128
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Dataset used to train noxinc/portuguese-Phi3-Tom-Cat-128k-instruct-Q5_K_M-GGUF
Evaluation results
- accuracy on ENEM Challenge (No Images)Open Portuguese LLM Leaderboard51.150
- accuracy on BLUEX (No Images)Open Portuguese LLM Leaderboard42.560
- accuracy on OAB ExamsOpen Portuguese LLM Leaderboard39.860
- f1-macro on Assin2 RTEtest set Open Portuguese LLM Leaderboard88.860
- pearson on Assin2 STStest set Open Portuguese LLM Leaderboard68.000
- f1-macro on FaQuAD NLItest set Open Portuguese LLM Leaderboard45.160
- f1-macro on HateBR Binarytest set Open Portuguese LLM Leaderboard85.920
- f1-macro on PT Hate Speech Binarytest set Open Portuguese LLM Leaderboard65.760
- f1-macro on tweetSentBRtest set Open Portuguese LLM Leaderboard53.320