noxinc/Llama-3-portuguese-Tom-cat-8b-instruct-Q2_K-GGUF
This model was converted to GGUF format from rhaymison/Llama-3-portuguese-Tom-cat-8b-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/Llama-3-portuguese-Tom-cat-8b-instruct-Q2_K-GGUF --model llama-3-portuguese-tom-cat-8b-instruct.Q2_K.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo noxinc/Llama-3-portuguese-Tom-cat-8b-instruct-Q2_K-GGUF --model llama-3-portuguese-tom-cat-8b-instruct.Q2_K.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 llama-3-portuguese-tom-cat-8b-instruct.Q2_K.gguf -n 128
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the model is not deployed on the HF Inference API.
Model tree for noxinc/Llama-3-portuguese-Tom-cat-8b-instruct-Q2_K-GGUF-PTBR
Base model
meta-llama/Meta-Llama-3-8B-InstructDataset used to train noxinc/Llama-3-portuguese-Tom-cat-8b-instruct-Q2_K-GGUF-PTBR
Evaluation results
- accuracy on ENEM Challenge (No Images)Open Portuguese LLM Leaderboard70.400
- accuracy on BLUEX (No Images)Open Portuguese LLM Leaderboard58.000
- accuracy on OAB ExamsOpen Portuguese LLM Leaderboard51.070
- f1-macro on Assin2 RTEtest set Open Portuguese LLM Leaderboard90.910
- pearson on Assin2 STStest set Open Portuguese LLM Leaderboard75.400
- f1-macro on FaQuAD NLItest set Open Portuguese LLM Leaderboard76.050
- f1-macro on HateBR Binarytest set Open Portuguese LLM Leaderboard86.990
- f1-macro on PT Hate Speech Binarytest set Open Portuguese LLM Leaderboard60.390
- f1-macro on tweetSentBRtest set Open Portuguese LLM Leaderboard65.920