SambaLingo Arabic Base 70B by sambanovasystems

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  Arxiv:2311.05741   Arxiv:2404.05829   Ar   Autotrain compatible   Dataset:uonlp/culturax   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

SambaLingo Arabic Base 70B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SambaLingo Arabic Base 70B (sambanovasystems/SambaLingo-Arabic-Base-70B)

SambaLingo Arabic Base 70B Parameters and Internals

Model Type 
Language Model
Use Cases 
Limitations:
Mission-critical applications, Applications that involve the safety of others, Making highly important decisions
Additional Notes 
SambaLingo is a pretrained bilingual Arabic-English model adapted to Arabic.
Supported Languages 
Arabic (High), English (High)
Training Details 
Data Sources:
Cultura-X dataset
Data Volume:
28 billion tokens
Methodology:
Mix 75% Arabic data with 25% English
Context Length:
4096
Input Output 
Input Format:
Few shot prompting with exemplars.
Performance Tips:
Use few shot prompting and standard (BOS) token. For direct queries, use the chat version.
LLM NameSambaLingo Arabic Base 70B
Repository ๐Ÿค—https://huggingface.co/sambanovasystems/SambaLingo-Arabic-Base-70B 
Model Size70b
Required VRAM36 GB
Updated2025-02-22
Maintainersambanovasystems
Model Typellama
Model Files  3.9 GB: 1-of-35   4.2 GB: 2-of-35   3.9 GB: 3-of-35   3.9 GB: 4-of-35   4.2 GB: 5-of-35   3.9 GB: 6-of-35   3.9 GB: 7-of-35   4.2 GB: 8-of-35   3.9 GB: 9-of-35   3.9 GB: 10-of-35   4.2 GB: 11-of-35   3.9 GB: 12-of-35   3.9 GB: 13-of-35   4.2 GB: 14-of-35   3.9 GB: 15-of-35   3.9 GB: 16-of-35   4.2 GB: 17-of-35   3.9 GB: 18-of-35   3.9 GB: 19-of-35   4.2 GB: 20-of-35   3.9 GB: 21-of-35   3.9 GB: 22-of-35   4.2 GB: 23-of-35   3.9 GB: 24-of-35   3.9 GB: 25-of-35   4.2 GB: 26-of-35   3.9 GB: 27-of-35   3.9 GB: 28-of-35   4.2 GB: 29-of-35   3.9 GB: 30-of-35   3.9 GB: 31-of-35   4.2 GB: 32-of-35   3.9 GB: 33-of-35   3.9 GB: 34-of-35   3.1 GB: 35-of-35   3.9 GB: 1-of-35   4.2 GB: 2-of-35   3.9 GB: 3-of-35   3.9 GB: 4-of-35   4.2 GB: 5-of-35   3.9 GB: 6-of-35   3.9 GB: 7-of-35   4.2 GB: 8-of-35   3.9 GB: 9-of-35
Supported Languagesar en
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Vocabulary Size57344
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than sambanovasystems/SambaLingo-Arabic-Base-70B.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227