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Xwin Math 70B V1.1 by Xwin-LM

 »  All LLMs  »  Xwin-LM  »  Xwin Math 70B V1.1   URL Share it on

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  Arxiv:2403.04706   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Xwin-LM/Xwin-Math-70B-V1.1 

Xwin Math 70B V1.1 Benchmarks

LLME Score: 0.18462
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Xwin Math 70B V1.1 (Xwin-LM/Xwin-Math-70B-V1.1)

Xwin Math 70B 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 70B V1.1
Repository 🤗https://huggingface.co/Xwin-LM/Xwin-Math-70B-V1.1 
Model Size70b
Required VRAM275.3 GB
Updated2025-02-22
MaintainerXwin-LM
Model Typellama
Model Files  9.4 GB: 1-of-29   9.3 GB: 2-of-29   10.0 GB: 3-of-29   9.9 GB: 4-of-29   9.3 GB: 5-of-29   9.3 GB: 6-of-29   9.3 GB: 7-of-29   10.0 GB: 8-of-29   9.9 GB: 9-of-29   9.3 GB: 10-of-29   9.3 GB: 11-of-29   9.3 GB: 12-of-29   10.0 GB: 13-of-29   9.9 GB: 14-of-29   9.3 GB: 15-of-29   9.3 GB: 16-of-29   9.3 GB: 17-of-29   10.0 GB: 18-of-29   9.9 GB: 19-of-29   9.3 GB: 20-of-29   9.3 GB: 21-of-29   9.3 GB: 22-of-29   10.0 GB: 23-of-29   9.9 GB: 24-of-29   9.3 GB: 25-of-29   9.3 GB: 26-of-29   9.3 GB: 27-of-29   10.0 GB: 28-of-29   7.6 GB: 29-of-29
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-70B-V1.1.

Rank the Xwin Math 70B 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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Release v20241227
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