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Model: botbotrobotics/CabraLlama3-8b
Source: Original Platform

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README.md

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+---
+language:
+- pt
+- en
+license: cc-by-nc-2.0
+tags:
+- text-generation-inference
+- transformers
+- llama
+- gguf
+- brazil
+- brasil
+- 8b
+- portuguese
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+pipeline_tag: text-generation
+model-index:
+- name: CabraLlama3-8b
+  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: 74.67
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraLlama3-8b
+      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: 56.88
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraLlama3-8b
+      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: 49.29
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraLlama3-8b
+      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: 90.44
+      name: f1-macro
+    source:
+      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraLlama3-8b
+      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: 69.85
+      name: pearson
+    source:
+      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraLlama3-8b
+      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: 70.38
+      name: f1-macro
+    source:
+      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraLlama3-8b
+      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: 85.05
+      name: f1-macro
+    source:
+      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraLlama3-8b
+      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: 60.1
+      name: f1-macro
+    source:
+      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraLlama3-8b
+      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: 68.08
+      name: f1-macro
+    source:
+      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=botbot-ai/CabraLlama3-8b
+      name: Open Portuguese LLM Leaderboard
+---
+# Cabra  Llama-3 8B
+<img src="https://uploads-ssl.webflow.com/65f77c0240ae1c68f8192771/6627fb36d544dd8ea250136a_llama38b.png" width="300" height="300">
+
+O Cabra Llama-3 8B é uma versão aprimorada do Meta-Llama-3-8B-Instruct, refinado com o uso do dataset Cabra 30k. Este modelo foi especialmente otimizado para compreender e responder em português. 
+
+**Experimente o modelo no [nosso chat](https://huggingface.co/spaces/botbot-ai/CabraLlama3).**
+
+
+**Conheça os nossos outros [modelos e datasets](https://huggingface.co/collections/botbot-ai/models-6604c2069ceef04f834ba99b), e o [Cabra Llama 3 70b](https://huggingface.co/botbot-ai/CabraLlama3-70b).**
+
+
+## Detalhes do modelo base
+
+### Modelo: Meta-Llama-3-8B-Instruct
+
+
+A Meta desenvolveu e lançou a família de modelos Llama 3, uma coleção de modelos de texto generativos pré-treinados e ajustados por instruções nos tamanhos de 8B e 70B. Os modelos Llama 3 ajustados por instruções são otimizados para casos de uso em diálogos e superam muitos dos modelos de chat de código aberto disponíveis em benchmarks comuns da indústria. Além disso, ao desenvolver esses modelos, tomamos grande cuidado para otimizar a utilidade e a segurança.
+
+Arquitetura do Modelo: Llama 3 é um modelo de linguagem auto-regressivo que usa uma arquitetura de transformador otimizada. As versões ajustadas utilizam o aprimoramento supervisionado (SFT) e aprendizado por reforço com feedback humano (RLHF) para se alinhar às preferências humanas quanto à utilidade e segurança.
+
+### Dataset: Cabra 30k
+
+Dataset interno para fine-tuning. Vamos lançar em breve. 
+
+### Quantização / GGUF
+
+Colocamos diversas versões (GGUF) quantanizadas no branch "quantanization".
+
+### Exemplo
+
+```
+<s> [INST] Me conte alguns fatos interessantes sobre Brasília. [/INST] 
+
+Brasília é a capital do Brasil e foi projetada pelo arquiteto brasileiro Oscar Niemeyer e pelo urbanista Lúcio Costa. Aqui estão alguns fatos interessantes sobre Brasília:
+
+1. Brasília foi construída nos anos 1960. A cidade foi construída para substituir o antigo local da capital do Brasil, Rio de Janeiro, que estava ficando muito lotado.
+
+2. A arquitetura de Brasília é única e é caracterizada por formas modernistas e abstratas. A cidade é dividida em dois planos principais: o plano piloto, que é a área central da cidade, e o plano terrestre, que é a área residencial.
+
+3. Brasília é conhecida por seus marcos icônicos, como a Catedral Metropolitana Nossa Senhora da Aparecida, o Palácio da Alvorada e o Palácio do Planalto, que são os locais de trabalho do presidente do Brasil.
+
+4. A cidade é lar do Estádio Nacional Mane Garrincha, que recebe jogos de futebol e tem capacidade para 72.788 torcedores. O estádio recebe o nome do famoso jogador de futebol Garrincha, que nasceu em Brasília.
+
+5. Brasília é uma cidade relativamente nova e tem uma população de cerca de 3 milhões de pessoas. Apesar de ser relativamente nova, a cidade é conhecida por sua cultura vibrante e é um centro de turismo, negócios e política no Brasil.
+</s>
+
+```
+
+## Uso
+O modelo é destinado, por agora, a fins de pesquisa. As áreas e tarefas de pesquisa possíveis incluem:
+
+- Pesquisa sobre modelos gerativos.
+- Investigação e compreensão das limitações e vieses de modelos gerativos.
+
+**Proibido para uso comercial. Somente Pesquisa. Entre em contato para mais informações. **
+
+### Avaliações / Evals
+
+|            Tasks            |Metric |LLAMA3 Base Instruct Value|Stderr|Finetune Cabra  Value|Stderr|
+|-----------------------------|-------|--------------------------|------|----------------------|------|
+|assin2_rte                   |f1_macro|0.9091                    |0.0041|0.9036                |0.0042|
+|                             |acc     |0.9093                    |0.0041|0.9036                |0.0042|
+|assin2_sts                   |pearson |0.7517                    |0.0074|0.6989                |0.0082|
+|                             |mse     |0.5985                    |N/A   |0.6958                |N/A   |
+|bluex                        |acc     |0.5786                    |0.0106|0.5786                |0.0106|
+|                             |...     |...                       |...   |...                   |...   |
+|enem                         |acc     |0.7012                    |0.0070|0.7439                |0.0067|
+|faquad_nli                   |f1_macro|0.7516                    |0.0132|0.6988                |0.0139|
+|                             |acc     |0.7938                    |0.0112|0.7508                |0.0120|
+|hatebr_offensive_binary      |f1_macro|0.8699                    |0.0064|0.8528                |0.0067|
+|                             |acc     |0.8700                    |0.0064|0.8536                |0.0067|
+|oab_exams                    |acc     |0.5062                    |0.0062|0.4911                |0.0062|
+|portuguese_hate_speech_binary|f1_macro|0.5982                    |0.0120|0.5954                |0.0120|
+|                             |acc     |0.5993                    |0.0119|0.5993                |0.0119|
+
+
+# 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/CabraLlama3-8b) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
+
+|          Metric          |  Value  |
+|--------------------------|---------|
+|Average                   |**69.42**|
+|ENEM Challenge (No Images)|    74.67|
+|BLUEX (No Images)         |    56.88|
+|OAB Exams                 |    49.29|
+|Assin2 RTE                |    90.44|
+|Assin2 STS                |    69.85|
+|FaQuAD NLI                |    70.38|
+|HateBR Binary             |    85.05|
+|PT Hate Speech Binary     |    60.10|
+|tweetSentBR               |    68.08|
+

config.json

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+  "_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.0.dev0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

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+  "do_sample": true,
+  "eos_token_id": [
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+    128009
+  ],
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.41.0.dev0"
+}

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@@ -0,0 +1,17 @@
+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|end_of_text|>"
+}