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Minerva 7B Instruct V1.0 by sapienzanlp

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  Autotrain compatible Base model:finetune:sapienzanl... Base model:sapienzanlp/minerva...   Conversational   Dataset:babelscape/alert   Dataset:efederici/evol-dpo-ita Dataset:huggingfaceh4/ultrafee...   Dpo   En   Endpoints compatible   Instruct   It   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0 

Minerva 7B Instruct V1.0 Benchmarks

LLME Score: 0.26382
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Minerva 7B Instruct V1.0 (sapienzanlp/Minerva-7B-instruct-v1.0)

Minerva 7B Instruct V1.0 Parameters and Internals

LLM NameMinerva 7B Instruct V1.0
Repository 🤗https://huggingface.co/sapienzanlp/Minerva-7B-instruct-v1.0 
Base Model(s)  sapienzanlp/Minerva-7B-base-v1.0   sapienzanlp/Minerva-7B-base-v1.0
Model Size7b
Required VRAM14.8 GB
Updated2025-06-01
Maintainersapienzanlp
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   4.9 GB: 3-of-3
Supported Languagesit en
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.46.2
Tokenizer ClassLlamaTokenizer
Padding Token<|eot_id|>
Vocabulary Size51264
Torch Data Typebfloat16

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...1 Summarize 64K LoRANET Merged128K / 14.4 GB150
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
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Note: green Score (e.g. "73.2") means that the model is better than sapienzanlp/Minerva-7B-instruct-v1.0.

Rank the Minerva 7B Instruct V1.0 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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