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OLMo 7B 0724 Hf by allenai

 »  All LLMs  »  allenai  »  OLMo 7B 0724 Hf   URL Share it on

  4184   
  Arxiv:2402.00838   Autotrain compatible   Dataset:allenai/dolma   En   Endpoints compatible   Olmo   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allenai/OLMo-7B-0724-hf 

OLMo 7B 0724 Hf Benchmarks

LLME Score: 0.25334
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OLMo 7B 0724 Hf (allenai/OLMo-7B-0724-hf)

OLMo 7B 0724 Hf Parameters and Internals

Model Type 
Transformer autoregressive language model
Supported Languages 
English (Fluent)
Training Details 
Data Sources:
Dolma dataset
Data Volume:
2.75 Trillion Tokens
Methodology:
two-stage training curriculum: first stage Cosine learning rate with warmup, second stage on high-quality subset
Context Length:
4096
Model Architecture:
Transformer style autoregressive
Input Output 
Input Format:
Tokenized input text
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Quantizing the model (requires `bitsandbytes`) can speed up inference.
Release Notes 
Version:
OLMo-7B July 2024
Date:
July 2024
Notes:
The released version features onward performance improvements and new training configurations.
LLM NameOLMo 7B 0724 Hf
Repository 🤗https://huggingface.co/allenai/OLMo-7B-0724-hf 
Model Size7b
Required VRAM27.6 GB
Updated2025-01-24
Maintainerallenai
Model Typeolmo
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   3.0 GB: 6-of-6
Supported Languagesen
Model ArchitectureOlmoForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|padding|>
Vocabulary Size50304
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than allenai/OLMo-7B-0724-hf.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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