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Abel 7B 002 by GAIR

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  Autotrain compatible   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/GAIR/Abel-7B-002 

Abel 7B 002 Benchmarks

LLME Score: 0.1932
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Abel 7B 002 (GAIR/Abel-7B-002)

Abel 7B 002 Parameters and Internals

Model Type 
Mathematical Reasoning, Text Generation
Use Cases 
Areas:
Educational technology, Mathematical research, AI development
Applications:
Mathematical problem solving, Research in mathematical AI applications
Primary Use Cases:
Educational tools that leverage AI for math problems
Limitations:
Not verified for non-mathematical tasks
Considerations:
Performance skewed towards mathematical tasks
Additional Notes 
Designed with a focus on mathematical problem solving.
Supported Languages 
English ( advanced)
Training Details 
Data Sources:
Mathematical problems datasets
Data Volume:
Unknown
Methodology:
Fine-tuning and optimization for mathematical reasoning
Training Time:
Unknown
Hardware Used:
Unknown
Model Architecture:
Transformer-based
Responsible Ai Considerations 
Fairness:
Unknown
Transparency:
Unknown
Accountability:
Developers are responsible for the model outputs.
Mitigation Strategies:
None stated
Input Output 
Input Format:
Problems in natural language or mathematical notation
Accepted Modalities:
text
Output Format:
Textual solutions and explanations
Performance Tips:
Evaluate primarily on mathematical datasets for optimal performance.
Release Notes 
Version:
1.0
Date:
2023
Notes:
Initial release with improved GSM8K and MATH performance.
LLM NameAbel 7B 002
Repository 🤗https://huggingface.co/GAIR/Abel-7B-002 
Model Size7b
Required VRAM29 GB
Updated2025-02-05
MaintainerGAIR
Model Typemistral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   9.1 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32032
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than GAIR/Abel-7B-002.

Rank the Abel 7B 002 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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