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Gromenauer 7B Instruct by bertin-project

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  Autotrain compatible Base model:bertin-project/grom... Base model:finetune:bertin-pro...   Ca   Conversational Dataset:bertin-project/bonanza... Dataset:bertin-project/zenobia...   Endpoints compatible   Es   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bertin-project/Gromenauer-7B-Instruct 

Gromenauer 7B Instruct Benchmarks

LLME Score: 0.19386
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gromenauer 7B Instruct (bertin-project/Gromenauer-7B-Instruct)

Gromenauer 7B Instruct Parameters and Internals

Model Type 
Mistral, text generation
Additional Notes 
Model utilizes Flash Attention and Gradient Checkpointing. Suitable for generating poetry and Spanish textual content.
Supported Languages 
es (full), ca (full)
Training Details 
Data Sources:
bertin-project/bonanza-hf, bertin-project/zenobia-instruct-hf
Methodology:
Instruct fine-tuning
Context Length:
8192
Model Architecture:
Mistral
LLM NameGromenauer 7B Instruct
Repository 🤗https://huggingface.co/bertin-project/Gromenauer-7B-Instruct 
Base Model(s)  Gromenauer 7B   bertin-project/Gromenauer-7B
Model Size7b
Required VRAM29 GB
Updated2025-02-22
Maintainerbertin-project
Model Typemistral
Instruction-BasedYes
Model Files  9.8 GB: 1-of-3   9.9 GB: 2-of-3   9.3 GB: 3-of-3
Supported Languageses ca
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Padding Token</s>
Vocabulary Size32000

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Note: green Score (e.g. "73.2") means that the model is better than bertin-project/Gromenauer-7B-Instruct.

Rank the Gromenauer 7B 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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