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---
license: apache-2.0
datasets:
- Locutusque/hercules-v5.0
language:
- en
---
# Hercules-5.0-Qwen2-1.5B
<!-- Provide a quick summary of what the model is/does. -->
We fine-tuned qwen2-1.5B on a high quality mix for general-purpose assistants. A DPO version of this will be released soon. We use the ChatML prompt format.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model has capabilities in math, coding, writing, and more. We fine-tuned it using a high quality mix for general-purpose assistants.
- **Developed by:** M4-ai
- **Language(s) (NLP):** English and maybe Chinese
- **License:** apache-2.0
- **Finetuned from model:** [qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B)
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
General purpose assistant, question answering, chain-of-thought, etc..
This language model made an impressive achievement, and correctly implemented a Multi Head Attention for use in a transformer neural network.
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## Training Details
### Training Data
- Locutusque/hercules-v5.0
## Evaluations
coming soon
#### Training Hyperparameters
- **Training regime:** bf16 non-mixed precision
## Technical Specifications
#### Hardware
We used 8 Kaggle TPUs, and we trained at a global batch size of 256 and sequence length of 1536. |