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ALMA 7B Pretrain by haoranxu

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ALMA 7B Pretrain is an open-source language model by haoranxu. Features: 7b LLM, VRAM: 27GB, Context: 4K, License: mit, LLM Explorer Score: 0.13.

  Arxiv:2309.11674   Arxiv:2401.08417   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/haoranxu/ALMA-7B-Pretrain 

ALMA 7B Pretrain Benchmarks

LLME Score: 0.13047
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 🤗https://huggingface.co/haoranxu/ALMA-7B-Pretrain 
Model Size7b
Required VRAM27 GB
Updated2025-09-23
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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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