license: apache-2.0
language:
- en
pipeline_tag: text-generation
base_model:
- allenai/OLMo2-7B-1124
library_name: transformers
OLMo-2-1124-7B-SFT
OLMo2 7B SFT November 2024 is finetuned variant of the OLMo2-7B November 2024 model, which has undergone supervised finetuning on the Tülu 3 dataset. Tülu 3 is designed for state-of-the-art performance on a diversity of tasks in addition to chat, such as MATH, GSM8K, and IFEval. We use a
OLMo is a series of Open Language Models designed to enable the science of language models. These models are trained on the Dolma dataset. We are releasing all code, checkpoints, logs (coming soon), and associated training details. The core models released in this batch include the following:
| Size | Training Tokens | Layers | Hidden Size | Attention Heads | Context Length |
|---|---|---|---|---|---|
| OLMo2-7B July 2024 | 4 Trillion | 32 | 4096 | 32 | 4096 |
| OLMo2- 13B July 2024 | 5 Trillion | 40 | 5120 | 42 | 4096 |
Model description
- Model type: A model trained on a mix of publicly available, synthetic and human-created datasets.
- Language(s) (NLP): Primarily English
- License: Apache 2.0
- Finetuned from model: allenai/OLMo2-7B-1124
Model Sources
- Project Page: https://allenai.org/olmo
- Repositories:
- Core repo (training, inference, fine-tuning etc.): https://github.com/allenai/OLMo
- Evaluation code: https://github.com/allenai/olmes
- Further fine-tuning code: https://github.com/allenai/open-instruct
- Paper: Coming soon!
- Demo: https://playground.allenai.org/
Model Family
TODO
Using the model
Loading with HuggingFace
To load the model with HuggingFace, use the following snippet:
from transformers import AutoModelForCausalLM
olmo_model = AutoModelForCausalLM.from_pretrained("allenai/OLMo-2-1124-7B-SFT")
Chat template
The chat template for our models is formatted as:
<|endoftext|><|user|>\nHow are you doing?\n<|assistant|>\nI'm just a computer program, so I don't have feelings, but I'm functioning as expected. How can I assist you today?<|endoftext|>
Or with new lines expanded:
<|endoftext|><|user|>
How are you doing?
<|assistant|>
I'm just a computer program, so I don't have feelings, but I'm functioning as expected. How can I assist you today?<|endoftext|>
It is embedded within the tokenizer as well, for tokenizer.apply_chat_template.
System prompt
In Ai2 demos, we use this system prompt by default:
You are OLMo 2, a helpful and harmless AI Assistant built by the Allen Institute for AI.
The model has not been trained with a specific system prompt in mind.
Bias, Risks, and Limitations
The OLMo2 models have limited safety training, but are not deployed automatically with in-the-loop filtering of responses like ChatGPT, so the model can produce problematic outputs (especially when prompted to do so). See the Falcon 180B model card for an example of this.
Performance
TODO
Hyperparamters
TODO: check
SFT:
- Learning Rate: 5E-6 (8B), 2E-6 (70B)
- Effective Batch Size: 128
- Max. Sequence Length: 4096
- Loss Accumulation: Sum (see https://unsloth.ai/blog/gradient)
- Learning Rate Schedule: Linear
- LR Warmup Ratio: 0.03
- Num. Epochs: 2
License and use
OLMo2 is licensed under the Apache 2.0 license. OLMo2 is intended for research and educational use. For more information, please see our Responsible Use Guidelines.
Citation
If OLMo2 or any of the related materials were helpful to your work, please cite:
TODO