2 papers
cs.CL2025
LLM Compression: How Far Can We Go in Balancing Size and Performance?
Sahil Sk, Debasish Dhal, Sonal Khosla +6
Quantization is an essential and popular technique for improving the accessibility of large language models (LLMs) by reducing memory usage and computational costs while maintainin…
cs.CL2023
Building a Llama2-finetuned LLM for Odia Language Utilizing Domain Knowledge Instruction Set
Guneet Singh Kohli, Shantipriya Parida, Sambit Sekhar +6
Building LLMs for languages other than English is in great demand due to the unavailability and performance of multilingual LLMs, such as understanding the local context. The probl…