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rhaymison/Mistral-portuguese-luana-7b-chat - GGUF
This repo contains GGUF format model files for rhaymison/Mistral-portuguese-luana-7b-chat.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.
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Prompt template
<s>[INST] {prompt} [/INST]
Model file specification
Filename | Quant type | File Size | Description |
---|---|---|---|
Mistral-portuguese-luana-7b-chat-Q2_K.gguf | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
Mistral-portuguese-luana-7b-chat-Q3_K_S.gguf | Q3_K_S | 3.165 GB | very small, high quality loss |
Mistral-portuguese-luana-7b-chat-Q3_K_M.gguf | Q3_K_M | 3.519 GB | very small, high quality loss |
Mistral-portuguese-luana-7b-chat-Q3_K_L.gguf | Q3_K_L | 3.822 GB | small, substantial quality loss |
Mistral-portuguese-luana-7b-chat-Q4_0.gguf | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
Mistral-portuguese-luana-7b-chat-Q4_K_S.gguf | Q4_K_S | 4.140 GB | small, greater quality loss |
Mistral-portuguese-luana-7b-chat-Q4_K_M.gguf | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
Mistral-portuguese-luana-7b-chat-Q5_0.gguf | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
Mistral-portuguese-luana-7b-chat-Q5_K_S.gguf | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
Mistral-portuguese-luana-7b-chat-Q5_K_M.gguf | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
Mistral-portuguese-luana-7b-chat-Q6_K.gguf | Q6_K | 5.942 GB | very large, extremely low quality loss |
Mistral-portuguese-luana-7b-chat-Q8_0.gguf | Q8_0 | 7.696 GB | very large, extremely low quality loss - not recommended |
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF --include "Mistral-portuguese-luana-7b-chat-Q2_K.gguf" --local-dir MY_LOCAL_DIR
If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf
), you can try:
huggingface-cli download tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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Model tree for tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF
Base model
mistralai/Mistral-7B-Instruct-v0.2Dataset used to train tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF
Evaluation results
- accuracy on ENEM Challenge (No Images)Open Portuguese LLM Leaderboard59.130
- accuracy on BLUEX (No Images)Open Portuguese LLM Leaderboard49.240
- accuracy on OAB ExamsOpen Portuguese LLM Leaderboard36.580
- f1-macro on Assin2 RTEtest set Open Portuguese LLM Leaderboard90.470
- pearson on Assin2 STStest set Open Portuguese LLM Leaderboard76.550
- f1-macro on FaQuAD NLItest set Open Portuguese LLM Leaderboard66.750
- f1-macro on HateBR Binarytest set Open Portuguese LLM Leaderboard77.460
- f1-macro on PT Hate Speech Binarytest set Open Portuguese LLM Leaderboard69.450
- f1-macro on tweetSentBRtest set Open Portuguese LLM Leaderboard59.630