---
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
---

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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](https://huggingface.co/rhaymison/Mistral-portuguese-luana-7b-chat).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5165](https://github.com/ggml-org/llama.cpp/commit/1d735c0b4fa0551c51c2f4ac888dd9a01f447985).

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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](https://huggingface.co/tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF/blob/main/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](https://huggingface.co/tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF/blob/main/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](https://huggingface.co/tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF/blob/main/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](https://huggingface.co/tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF/blob/main/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](https://huggingface.co/tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF/blob/main/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](https://huggingface.co/tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF/blob/main/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](https://huggingface.co/tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF/blob/main/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](https://huggingface.co/tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF/blob/main/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](https://huggingface.co/tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF/blob/main/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](https://huggingface.co/tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF/blob/main/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](https://huggingface.co/tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF/blob/main/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](https://huggingface.co/tensorblock/rhaymison_Mistral-portuguese-luana-7b-chat-GGUF/blob/main/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

```shell
pip install -U "huggingface_hub[cli]"
```

Then, downoad the individual model file the a local directory

```shell
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:

```shell
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'
```