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---
language:
- pt
license: apache-2.0
model-index:
- name: CabraMistral-v3-7b-32k
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: 58.64
name: accuracy
source:
url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraMistral-v3-7b-32k
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: 45.62
name: accuracy
source:
url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraMistral-v3-7b-32k
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: 41.46
name: accuracy
source:
url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraMistral-v3-7b-32k
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: 86.14
name: f1-macro
source:
url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraMistral-v3-7b-32k
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: 68.06
name: pearson
source:
url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraMistral-v3-7b-32k
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: 47.46
name: f1-macro
source:
url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraMistral-v3-7b-32k
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: 70.46
name: f1-macro
source:
url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraMistral-v3-7b-32k
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: 62.39
name: f1-macro
source:
url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraMistral-v3-7b-32k
name: Open Portuguese LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: tweetSentBR
type: eduagarcia/tweetsentbr_fewshot
split: test
args:
num_few_shot: 25
metrics:
- type: f1_macro
value: 65.71
name: f1-macro
source:
url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraMistral-v3-7b-32k
name: Open Portuguese LLM Leaderboard
---
# Cabra Mistral 7b v3 - 32k
<img src="https://uploads-ssl.webflow.com/65f77c0240ae1c68f8192771/660b1a4d574293d8a1ce48ca_cabra1.png" width="400" height="400">
Esse modelo é um finetune do [Mistral 7b Instruct 0.3](https://huggingface.co./mistralai/mistral-7b-instruct-v0.3) com o dataset Cabra12k. Esse modelo é optimizado para português e tem limite de contexto de 32k.
**Conheça os nossos outros modelos: [Cabra](https://huggingface.co./collections/botbot-ai/models-6604c2069ceef04f834ba99b).**
## Detalhes do Modelo
### Modelo: Mistral 7b Instruct 0.3
Mistral-7B-v0.3 é um modelo de transformador, com as seguintes escolhas arquitetônicas:
- Grouped-Query Attention
- Sliding-Window Attention
- Byte-fallback BPE tokenizer
### dataset: Cabra 12k
Dataset interno para finetuning. Vamos lançar em breve.
### Quantização / GGUF
Colocamos diversas versões (GGUF) quantanizadas no branch "quantanization".
### Exemplo
```
<s> [INST] who is Elon Musk? [/INST]Elon Musk é um empreendedor, inventor e capitalista americano. Ele é o fundador, CEO e CTO da SpaceX, CEO da Neuralink e fundador do The Boring Company. Musk também é o proprietário do Twitter.</s>
```
### Paramentros de trainamento
```
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 3
```
### Framework
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 2.14.6
- Tokenizers 0.15.2
### Evals
# Open Portuguese LLM Leaderboard Evaluation Results
Detailed results can be found [here](https://huggingface.co./datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/botbot-ai/CabraMistral-v3-7b-32k) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard)
| Metric | Value |
|--------------------------|---------|
|Average |**60.66**|
|ENEM Challenge (No Images)| 58.64|
|BLUEX (No Images) | 45.62|
|OAB Exams | 41.46|
|Assin2 RTE | 86.14|
|Assin2 STS | 68.06|
|FaQuAD NLI | 47.46|
|HateBR Binary | 70.46|
|PT Hate Speech Binary | 62.39|
|tweetSentBR | 65.71|
|