by georgian-io · Agent Tool · ★ 870
LLM Finetuning Toolkit Overview LLM Finetuning toolkit is a config-based CLI tool for launching a series of LLM fine-tuning experiments on your data and gathering their results. From one single config file, control all elements of a typical experimentation pipeline - prompts, open-source LLMs, optimization strategy and LLM testing.
| Stars | 870 |
| Forks | 105 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 72.1822035284415/100 |
| Open Issues | 14 |
| Last Updated | 2024-10-25 |
| Created | 2023-07-24 |
| Platforms | python |
| Est. Tokens | ~2225k |
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LLM-Finetuning-Toolkit is Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.. It is categorized as a Agent Tool with 870 GitHub stars.
LLM-Finetuning-Toolkit is primarily written in Python. It covers topics such as ablation-study, classification, falcon.
You can find installation instructions and usage details in the LLM-Finetuning-Toolkit GitHub repository at github.com/georgian-io/LLM-Finetuning-Toolkit. The project has 870 stars and 105 forks, indicating an active community.
LLM-Finetuning-Toolkit is released under the Apache-2.0 license, making it free to use and modify according to the license terms.