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Latxa 7B V1.1 by HiTZ

 »  All LLMs  »  HiTZ  »  Latxa 7B V1.1   URL Share it on

  84   
  Arxiv:1910.09700   Arxiv:2112.10668   Arxiv:2307.09288   Arxiv:2308.16884   Arxiv:2403.20266   Autotrain compatible   Dataset:hitz/latxa-corpus-v1.1   En   Endpoints compatible   Eu   Llama   Model-index   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/HiTZ/latxa-7b-v1.1 

Latxa 7B V1.1 Benchmarks

LLME Score: 0.1707
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Latxa 7B V1.1 (HiTZ/latxa-7b-v1.1)

Latxa 7B V1.1 Parameters and Internals

Model Type 
Language model
Additional Notes 
Model is outdated; new versions are available.
Supported Languages 
en (English), eu (Basque)
Training Details 
Data Sources:
HiTZ/latxa-corpus-v1.1, Pile (EleutherAI/pile)
Data Volume:
4.17B tokens
Methodology:
Cosine learning rate schedule with a warm-up of 500 steps and decaying down to 3% of peak learning rate. Peak learning rate set at 1e-4.
Context Length:
4096
Training Time:
10k steps
Hardware Used:
CINECA HPC Leonardo computing cluster, 4x A100 64Gb GPUs
Model Architecture:
GPT-Neox library with LLaMA-2 structure
LLM NameLatxa 7B V1.1
Repository 🤗https://huggingface.co/HiTZ/latxa-7b-v1.1 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-05
MaintainerHiTZ
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
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-7b-v1.1.

Rank the Latxa 7B V1.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Release v20241227
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