README.md

---
base_model: amd/AMD-OLMo-1B-SFT
datasets:
- allenai/dolma
license: apache-2.0
pipeline_tag: text-generation
quantized_by: bartowski
---
## 💫 Community Model> AMD OLMo 1B SFT by Amd

*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.

**Model creator:** [amd](https://huggingface.co/amd)<br>
**Original model**: [AMD-OLMo-1B-SFT](https://huggingface.co/amd/AMD-OLMo-1B-SFT)<br>
**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b3991](https://github.com/ggerganov/llama.cpp/releases/tag/b3991)<br>

## Technical Details

AMD-OLMo-1B is based on the model architecture and training set up of fully open source 1 billion version of OLMo-1B

Context length of 2048

Vocab size of 50,280

Pretrained on 1.3 trillion tokens from https://huggingface.co/datasets/allenai/dolma

Supervised fine-tuned (SFT) on [Tulu V2](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture) dataset (1st phase) and then [OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5), [WebInstructSub](https://huggingface.co/datasets/TIGER-Lab/WebInstructSub), and [Code-Feedback](https://huggingface.co/datasets/m-a-p/Code-Feedback) datasets (2nd phase).

## Special thanks

🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.

## Disclaimers

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