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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

LLME Score: 0.213
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral 7B Portuguese Parameters and Internals

LLM NameMistral 7B Portuguese
Repository 🤗https://huggingface.co/cnmoro/Mistral-7B-Portuguese 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
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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Mistral 7B Instruct V0.2 8bit32K / 7.6 GB381
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1744328
Mistral Turkish V232K / 14.4 GB25486
Minirewrite32K / 15.8 GB70
Mistral7B MatheoAI8 Lora32K / 14.4 GB150
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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Release v2024072803
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