README.md · tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF at main

metadata

language:
  - pt
license: apache-2.0
library_name: transformers
tags:
  - Misral
  - Portuguese
  - 7b
  - chat
  - portugues
  - TensorBlock
  - GGUF
base_model: rhaymison/Mistral-portuguese-luana-7b-chat
datasets:
  - rhaymison/ultrachat-easy-use
pipeline_tag: text-generation
model-index:
  - name: Mistral-portuguese-luana-7b-chat
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: ENEM Challenge (No Images)
          type: eduagarcia/enem_challenge
          split: train
          args:
            num_few_shot: 3
        metrics:
          - type: acc
            value: 59.13
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-7b-chat
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BLUEX (No Images)
          type: eduagarcia-temp/BLUEX_without_images
          split: train
          args:
            num_few_shot: 3
        metrics:
          - type: acc
            value: 49.24
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-7b-chat
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: OAB Exams
          type: eduagarcia/oab_exams
          split: train
          args:
            num_few_shot: 3
        metrics:
          - type: acc
            value: 36.58
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-7b-chat
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Assin2 RTE
          type: assin2
          split: test
          args:
            num_few_shot: 15
        metrics:
          - type: f1_macro
            value: 90.47
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-7b-chat
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Assin2 STS
          type: eduagarcia/portuguese_benchmark
          split: test
          args:
            num_few_shot: 15
        metrics:
          - type: pearson
            value: 76.55
            name: pearson
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-7b-chat
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: FaQuAD NLI
          type: ruanchaves/faquad-nli
          split: test
          args:
            num_few_shot: 15
        metrics:
          - type: f1_macro
            value: 66.75
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-7b-chat
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: HateBR Binary
          type: ruanchaves/hatebr
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: f1_macro
            value: 77.46
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-7b-chat
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: PT Hate Speech Binary
          type: hate_speech_portuguese
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: f1_macro
            value: 69.45
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-7b-chat
          name: Open Portuguese LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: tweetSentBR
          type: eduagarcia-temp/tweetsentbr
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: f1_macro
            value: 59.63
            name: f1-macro
        source:
          url: >-
            https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=rhaymison/Mistral-portuguese-luana-7b-chat
          name: Open Portuguese LLM Leaderboard

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'