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---
tags:
- text-generation-inference
- transformers
- unsloth
- olmo2
license: apache-2.0
language:
- en
datasets:
- Pinkstack/roblox-luau-corpus-text
- Roblox/luau_corpus
- boatbomber/roblox-info-dump
- wikimedia/wikipedia
pipeline_tag: text-generation
base_model:
- allenai/OLMo-2-0425-1B
---
Note: this is not a chat model, the chat model is coming soon but this is the base model for further fine-tuning.
![Thumbnail](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/GeIinCTOzBfsgiqwQlKUY.png)
# print("Before we start")
We are not related to Roblox in any way, any mention of Roblox is purely to help people understand what the model is about.
As per the [Roblox website](https://create.roblox.com/docs/assistant/guide), they use Meta's Llama 3 (we assume 70B) for their AI assistant. This model, while powerful, cannot come close to the performance of a 70B model.
# print("Stages of pre-training")
This model was continually pre-trained in 3 stages. (Note, allenai states that olmo 2 1B, which is the model this is based on was pre-trained on 4 trillion or so tokens.)
- Stage 1: Pre-training on the Pinkstack/roblox-luau-corpus-text & Roblox/luau_corpus on 4096 context (the maximum olmo 2 can usually reach)
- Stage 2: Pre-training on the boatbomber/roblox-info-dump with rope scaling set to 4, so stage 2 was for expanding the context of the model to **16384**.
!stage 3 and onwards were with added layers. the model started with 16 layers, then we merged another 20 to make the model bigger and deeper!
- Stage 3: Training on a mix of Pinkstack/roblox-luau-corpus-text & Roblox/luau_corpus + wikimedia/wikipedia with rope scaling set to 8, aka **32768** tokens of context. We mixed the wikimedia/wikipedia to hopefully improve the general text and knowledge of the model.
In total, the model was continually pre-trained on up to 1.3B tokens, final loss of **1.916400**.
# print("Use cases")
As this is a base model, there isn't much to do with it currently. But, you can fine-tune it on your own datasets to turn it into an instruct - chat type model.
# print("Notice")
This stage-3 base model did not undergo saftey alignment by us, thus it can generate unethical content. Any outputs generated by the LLM are your responsibility.
# print("Additional information")
This repo contains the stage 3 pre-trained/base model.
unsloth was used for training (https://unsloth.ai/)