Mistral 7B Portuguese by cnmoro

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  4bit   Autotrain compatible   Conversational Dataset:cnmoro/wizardvicuna-pt...   En   Endpoints compatible   Instruct   Mistral   Model-index   Pt   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Portuguese Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Mistral 7B Portuguese Parameters and Internals

Model Type 
text-generation
Additional Notes 
This is a finetuned version of Mistral-7B to improve performance on Portuguese. Original prompt format used: [INST] {Prompt goes here} [/INST]. Detailed results can be found on the Open Portuguese LLM Leaderboard.
Supported Languages 
en (high), pt (high)
Training Details 
Data Sources:
cnmoro/WizardVicuna-PTBR-Instruct-Clean
Methodology:
Fine-tuning using unsloth.
LLM NameMistral 7B Portuguese
Repository ๐Ÿค—https://huggingface.co/cnmoro/Mistral-7B-Portuguese 
Model Size7b
Required VRAM14.4 GB
Updated2024-12-02
Maintainercnmoro
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen pt
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Mistral 7B Portuguese (cnmoro/Mistral-7B-Portuguese)

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Note: green Score (e.g. "73.2") means that the model is better than cnmoro/Mistral-7B-Portuguese.

Rank the Mistral 7B Portuguese Capabilities

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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 v20241124