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Occiglot 7B Es En Instruct by occiglot

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  Autotrain compatible   Conversational   En   Endpoints compatible   Es   Instruct   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/occiglot/occiglot-7b-es-en-instruct 

Occiglot 7B Es En Instruct Benchmarks

MMLU Pro: 14.56
GPQA: 1.23
MUSR: 4.45
BBH: 17.24
IFEval: 34.85 vs 88 (so35)-60.4%
MATH Lvl 5: 2.04
LLME Score: 0.20864
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Occiglot 7B Es En Instruct (occiglot/occiglot-7b-es-en-instruct)

Occiglot 7B Es En Instruct Parameters and Internals

Model Type 
Causal decoder-only transformer language model
Supported Languages 
en (fluent), es (fluent), code ()
Training Details 
Data Sources:
Open-Hermes-2B, Mentor-ES, Squad-es, OASST-2, Aya-Dataset
Methodology:
Full instruction fine-tuning
Context Length:
8192
Hardware Used:
8xH100
LLM NameOcciglot 7B Es En Instruct
Repository 🤗https://huggingface.co/occiglot/occiglot-7b-es-en-instruct 
Model Size7b
Required VRAM28.9 GB
Updated2025-02-05
Maintainerocciglot
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Supported Languagesen es
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than occiglot/occiglot-7b-es-en-instruct.

Rank the Occiglot 7B Es En Instruct 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 v20241227
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