felipe-carlos-ipms/gemma-portuguese-tom-cat-2b-it-Q8_0-GGUF
This model was converted to GGUF format from rhaymison/gemma-portuguese-tom-cat-2b-it
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 (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo felipe-carlos-ipms/gemma-portuguese-tom-cat-2b-it-Q8_0-GGUF --hf-file gemma-portuguese-tom-cat-2b-it-q8_0.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo felipe-carlos-ipms/gemma-portuguese-tom-cat-2b-it-Q8_0-GGUF --hf-file gemma-portuguese-tom-cat-2b-it-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 felipe-carlos-ipms/gemma-portuguese-tom-cat-2b-it-Q8_0-GGUF --hf-file gemma-portuguese-tom-cat-2b-it-q8_0.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo felipe-carlos-ipms/gemma-portuguese-tom-cat-2b-it-Q8_0-GGUF --hf-file gemma-portuguese-tom-cat-2b-it-q8_0.gguf -c 2048
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Model tree for felipe-carlos-ipms/gemma-portuguese-tom-cat-2b-it-Q8_0-GGUF
Base model
google/gemma-2b-it
Finetuned
rhaymison/gemma-portuguese-tom-cat-2b-it
Dataset used to train felipe-carlos-ipms/gemma-portuguese-tom-cat-2b-it-Q8_0-GGUF
Evaluation results
- accuracy on ENEM Challenge (No Images)Open Portuguese LLM Leaderboard27.710
- accuracy on BLUEX (No Images)Open Portuguese LLM Leaderboard29.070
- accuracy on OAB ExamsOpen Portuguese LLM Leaderboard27.970
- f1-macro on Assin2 RTEtest set Open Portuguese LLM Leaderboard46.840
- pearson on Assin2 STStest set Open Portuguese LLM Leaderboard14.060
- f1-macro on FaQuAD NLItest set Open Portuguese LLM Leaderboard29.390
- f1-macro on HateBR Binarytest set Open Portuguese LLM Leaderboard46.590
- f1-macro on PT Hate Speech Binarytest set Open Portuguese LLM Leaderboard45.360
- f1-macro on tweetSentBRtest set Open Portuguese LLM Leaderboard18.860