Claire Mistral 7B 0.1 by OpenLLM-France

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  Arxiv:2311.16840   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Endpoints compatible   Fr   Mistral   Pretrained   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Claire Mistral 7B 0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Claire Mistral 7B 0.1 (OpenLLM-France/Claire-Mistral-7B-0.1)

Claire Mistral 7B 0.1 Parameters and Internals

Model Type 
causal decoder-only, pretrained language model
Additional Notes 
Prone to generate dialogues with disfluencies due to training on spoken language data.
Supported Languages 
French (High proficiency), Other (Possible, based on Mistral-7B-v0.1 training data)
Training Details 
Data Sources:
Assemblée Nationale, Théâtre Classique, Théâtre Gratuit, TCOF, CFPP, CFPB (ORFEO), ACSYNT, PFC, Valibel (ORFEO), ESLO, CRFP (ORFEO), OFROM (ORFEO), CID, Rhapsodie, ParisStories, C-ORAL-ROM (ORFEO), LinTO, SUMM-RE, Réunions de travail (ORFEO), FREDSum, OTG, Accueil UBS, Fleuron (ORFEO), Prélude du bonheur
Data Volume:
Various formats and truncations to 4096 tokens
Methodology:
Varying the format for speech turns, substituting speaker names, removing punctuation/casing
Context Length:
4096
Training Time:
50 GPU hours on 8 A100 80GB GPUs
Hardware Used:
8 A100 80GB GPUs
Model Architecture:
Causal decoder-only
LLM NameClaire Mistral 7B 0.1
Repository 🤗https://huggingface.co/OpenLLM-France/Claire-Mistral-7B-0.1 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-04-23
MaintainerOpenLLM-France
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2   9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesfr
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than OpenLLM-France/Claire-Mistral-7B-0.1.

Rank the Claire Mistral 7B 0.1 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 v20241227