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CabraMixtral 8x7b by botbot-ai

 »  All LLMs  »  botbot-ai  »  CabraMixtral 8x7b   URL Share it on

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  Autotrain compatible   Brasil   Brazil   Conversational   En   Endpoints compatible   Gguf   Instruct   Mistral   Mixtral   Model-index   Moe   Portuguese   Pt   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/botbot-ai/CabraMixtral-8x7b 

CabraMixtral 8x7b Benchmarks

LLME Score: 0.18676
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CabraMixtral 8x7b (botbot-ai/CabraMixtral-8x7b)

CabraMixtral 8x7b Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research
Applications:
Generative model research, Investigation of limitations and biases
Additional Notes 
Model fine-tuned for Brazilian benchmarks and shows improvement over the base model.
Supported Languages 
Portuguese (Optimized)
Training Details 
Data Sources:
Cabra 30k
Methodology:
Finetuning from Mixtral 8x7b with Cabra 30k dataset
Hardware Used:
Various versions (GGUF) quantanized
LLM NameCabraMixtral 8x7b
Repository 🤗https://huggingface.co/botbot-ai/CabraMixtral-8x7b 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-02-22
Maintainerbotbot-ai
Model Typemixtral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagespt en
Model ArchitectureMixtralForCausalLM
Licensecc
Context Length32768
Model Max Length32768
Transformers Version4.41.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than botbot-ai/CabraMixtral-8x7b.

Rank the CabraMixtral 8x7b Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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