Latxa 70B V1 by HiTZ

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  Arxiv:1910.09700   Arxiv:2112.10668   Arxiv:2308.16884   Autotrain compatible   Dataset:hitz/euscrawl   En   Endpoints compatible   Eu   Llama   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/HiTZ/latxa-70b-v1 

Latxa 70B V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Latxa 70B V1 (HiTZ/latxa-70b-v1)

Latxa 70B V1 Parameters and Internals

Model Type 
Language model
Use Cases 
Areas:
Research, Commercial applications
Additional Notes 
Model is outdated; newer versions available in HuggingFace collection.
Supported Languages 
en (supported), eu (supported)
Training Details 
Data Sources:
Euscrawl v1, 100K documents of English data from the Pile dataset
Data Volume:
1.72M documents, 288M words, 2.1GiB of uncompressed text
Methodology:
Trained using GPT-Neox library on HPC CINECA computing cluster
Context Length:
4096
Training Time:
1680 steps, effective batch size of 2M tokens, 6475.52 GPU hours
Hardware Used:
4x A100 64Gb nodes
LLM NameLatxa 70B V1
Repository ๐Ÿค—https://huggingface.co/HiTZ/latxa-70b-v1 
Model Size70b
Required VRAM138 GB
Updated2025-01-16
MaintainerHiTZ
Model Typellama
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15
Supported Languageseu en
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than HiTZ/latxa-70b-v1.

Rank the Latxa 70B V1 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