ALMA 7B Pretrain by haoranxu

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  Arxiv:2309.11674   Arxiv:2401.08417   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

ALMA 7B Pretrain Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ALMA 7B Pretrain (haoranxu/ALMA-7B-Pretrain)
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ALMA 7B Pretrain Parameters and Internals

Model Type 
Translation
Use Cases 
Areas:
Translation
Applications:
Research, Commercial Applications
Primary Use Cases:
Machine Translation
Training Details 
Data Sources:
monolingual data, high-quality parallel data
Data Volume:
20B tokens for ALMA-7B models, 12B tokens for ALMA-13B models
Methodology:
Two-step fine-tuning: initial monolingual fine-tuning followed by parallel data optimization, with additional LoRA fine-tuning for ALMA-R models using Contrastive Preference Optimization
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Translation output in text format
LLM NameALMA 7B Pretrain
Repository ๐Ÿค—https://huggingface.co/haoranxu/ALMA-7B-Pretrain 
Model Size7b
Required VRAM27 GB
Updated2025-08-20
Maintainerhaoranxu
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than haoranxu/ALMA-7B-Pretrain.

Rank the ALMA 7B Pretrain 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 v20241124