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OLMo 1.7 7B by allenai

By allenai · 46 downloads

OLMo 1.7 7B is an open-source language model by allenai. Features: 7b LLM, VRAM: 27.6GB, License: apache-2.0, LLM Explorer Score: 0.12.

  Arxiv:2402.00838   Autotrain compatible   Dataset:allenai/dolma   En   Endpoints compatible   Olmo   Pytorch   Region:us
Model Card on HF πŸ€—: https://huggingface.co/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 πŸ€—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.