library_name: transformers
license: other
datasets:
- Locutusque/hercules-v4.0
language:
- en
inference:
parameters:
do_sample: true
temperature: 1
top_p: 0.7
top_k: 4
max_new_tokens: 250
repetition_penalty: 1.1
Hercules-Mini-1.8B
We fine-tuned Qwen1.5-1.8B on Locutusque's Hercules-v4.
Model Details
Model Description
This model has capabilities in math, coding, function calling, roleplay, and more. We fine-tuned it using 700,000 examples of Hercules-v4.
- Developed by: M4-ai
- Language(s) (NLP): English and maybe Chinese
- License: tongyi-qianwen license
- Finetuned from model: Qwen1.5-1.8B
Uses
General purpose assistant, question answering, chain-of-thought, etc..
Bias, Risks, and Limitations
The eos token was not setup properly, so to prevent infinite generation you'll need to implement a stopping criteria when the model generates the <|im_end|> token.
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Evaluation
Coming soon
Training Details
Training Data
https://huggingface.co./datasets/Locutusque/hercules-v4.0
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
Contributions
Thanks to @Tonic, @aloobun, @fhai50032, and @Locutusque for their contributions to this model.