Claire 7B 0.1 Instruct by PhilSad

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  8-bit   Autotrain compatible Base model:openllm-france/clai... Base model:quantized:openllm-f...   Bitsandbytes Dataset:philsad/alpaca french ...   Endpoints compatible   Falcon   Finetuned   Fr   Instruct   Region:us   Safetensors   Sharded   Tensorflow

Claire 7B 0.1 Instruct Benchmarks

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

Claire 7B 0.1 Instruct Parameters and Internals

Model Type 
4 bits PEFT QLORA fine-tuned, Causal Language Model
Use Cases 
Areas:
Research, Development
Applications:
Instruction-based text generation, Sentiment classification
Primary Use Cases:
Generating recipes and instructions, Sentiment analysis from text inputs
Additional Notes 
Model finetuned on 150 steps using a French dataset adapted from Alpaca instruction data.
Supported Languages 
French (NLP Tasks)
Training Details 
Data Sources:
tbboukhari/Alpaca_french_instruct
Methodology:
Fine-tuning with 4 bits PEFT QLORA
Training Time:
150 steps
Model Architecture:
Modified from OpenLLM-France/Claire-7B-0.1, fine-tuned with 4 bits PEFT QLORA
Input Output 
Input Format:
Prompt-based (instruction and input text structure)
Accepted Modalities:
text
Output Format:
Generated text output
LLM NameClaire 7B 0.1 Instruct
Repository ๐Ÿค—https://huggingface.co/PhilSad/Claire-7b-0.1-instruct 
Base Model(s)  OpenLLM-France/Claire-7B-0.1   OpenLLM-France/Claire-7B-0.1
Model Size7b
Required VRAM7.2 GB
Updated2024-12-21
MaintainerPhilSad
Model Typefalcon
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.2 GB: 2-of-2
Supported Languagesfr
Model ArchitectureFalconForCausalLM
Licensecc-by-nc-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.37.2
Is Biased0
Vocabulary Size65024
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than PhilSad/Claire-7b-0.1-instruct.

Rank the Claire 7B 0.1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217