Large Language Model Development

22 repos

Large language model development, training, and fine-tuning, with a focus on open-source LLM implementations and variants. The cluster centers on practical tools and frameworks for building, optimizing, and deploying language models—including model architectures, inference optimization, and parameter-efficient adaptation techniques. Principal repositories include the Baichuan series of models and MOSS, representing end-to-end LLM development pipelines.

Python · 18
Jupyter Notebook · 2
Go · 1
Rust · 1
large-language-models ·214,874
natural-language-processing ·213,264
artificial-intelligence ·171,658
llm ·167,975
deep-learning ·160,912
ai ·135,766
python ·127,483
instruction-tuning ·116,952
machine-learning ·109,231
gpt ·108,823