Instructions to use algorythmtechnologies/Zenith with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use algorythmtechnologies/Zenith with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("algorythmtechnologies/Zenith", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 817 Bytes
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license: apache-2.0
tags:
- zenith
- lora
- finetune
- conversational
- coding-agent
library_name: transformers
---
# Zenith: AlgoRythm Technologies Autonomous Coding Agent
Zenith is a fine-tuned conversational coding agent based on DeepSeek, enhanced with LoRA for efficient and fast adaptation. It is designed to be a flagship autonomous coding partner, blending technical expertise, philosophical curiosity, and collaborative mentorship.
## Model Details
- Base: DeepSeek (7B or as specified)
- Fine-tuning: LoRA (PEFT)
- Data: Custom conversational coding dataset
## Intended Use
- Coding assistance
- Technical Q&A
- Mentorship and collaborative problem solving
## Training
See `finetune_zenith.py` for full training and evaluation pipeline.
## License
Apache 2.0 |