Xwin Math 7B V1.1 by Xwin-LM

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  Arxiv:2403.04706   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Xwin Math 7B V1.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Xwin Math 7B V1.1 (Xwin-LM/Xwin-Math-7B-V1.1)

Xwin Math 7B V1.1 Parameters and Internals

Model Type 
text generation, multimodal
Additional Notes 
Xwin-Math series uses large scale synthetic data for training benchmarks like GSM8K and MATH.
Release Notes 
Version:
Xwin-Math-7B-V1.0
Date:
Nov, 2023
Notes:
Ranked top-1 among all LLaMA-2 based 7B models on GSM8K with 66.6 pass@1.
Version:
Xwin-Math-70B-V1.0
Date:
Nov, 2023
Notes:
Achieves 31.8 pass@1 on the MATH benchmark.
Version:
Xwin-Math-70B-V1.1
Date:
May, 2024
Notes:
Achieves 51.9 pass@1 on MATH benchmark and 90.6 on GSM8K, based on LLaMA-2-70B.
Version:
Xwin-Math-7B-V1.1
Date:
May, 2024
Notes:
Achieves 44.7 pass@1 on MATH benchmark and 84.4 on GSM8K, based on LLaMA-2-7B.
LLM NameXwin Math 7B V1.1
Repository ๐Ÿค—https://huggingface.co/Xwin-LM/Xwin-Math-7B-V1.1 
Model Size7b
Required VRAM27 GB
Updated2025-02-22
MaintainerXwin-LM
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Xwin-LM/Xwin-Math-7B-V1.1.

Rank the Xwin Math 7B V1.1 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