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OLMo 1.7 7B by allenai

 »  All LLMs  »  allenai  »  OLMo 1.7 7B   URL Share it on

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  Arxiv:2402.00838   Autotrain compatible   Dataset:allenai/dolma   En   Endpoints compatible   Olmo   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/allenai/OLMo-1.7-7B 

OLMo 1.7 7B Benchmarks

LLME Score: 0.18861
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OLMo 1.7 7B (allenai/OLMo-1.7-7B)

OLMo 1.7 7B Parameters and Internals

Model Type 
Transformer, autoregressive language model
Additional Notes 
Model includes QKV clipping enhancing performance.
Supported Languages 
en (English)
Training Details 
Data Sources:
Dolma 1.7 dataset
Data Volume:
approx. 2.05 Trillion tokens
Methodology:
Two-stage curriculum with staged training and annealing
Context Length:
4096
Hardware Used:
Databricks, Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University, AMD, CSC (Lumi Supercomputer), UW
Model Architecture:
Transformer
LLM NameOLMo 1.7 7B
Repository 🤗https://huggingface.co/allenai/OLMo-1.7-7B 
Model Size7b
Required VRAM27.6 GB
Updated2024-07-30
Maintainerallenai
Model Typeolmo
Model Files  27.6 GB
Supported Languagesen
Model ArchitectureOLMoForCausalLM
Licenseapache-2.0
Transformers Version4.39.3
Tokenizer ClassOLMoTokenizer
Padding Token<|padding|>
Vocabulary Size50280

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Note: green Score (e.g. "73.2") means that the model is better than allenai/OLMo-1.7-7B.

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Release v20241227
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