cwchang/
llama-3-taiwan-8b-instruct-128k

222 1 year ago

The model used is a quantized version of `Llama-3-Taiwan-8B-Instruct-128k`. More details can be found on the https://huggingface.co/yentinglin/Llama-3-Taiwan-8B-Instruct-128k

11 models

llama-3-taiwan-8b-instruct-128k:latest
2ed707b51edd • 5.7GB • 128K context window •
Text input • 1 year ago
llama-3-taiwan-8b-instruct-128k:q5_k latest
2ed707b51edd • 5.7GB • 128K context window •
Text input • 1 year ago
llama-3-taiwan-8b-instruct-128k:q4_k_s
231a5e37a6a0 • 4.7GB • 128K context window •
Text input • 1 year ago
llama-3-taiwan-8b-instruct-128k:q4_k_m
262b9380c164 • 4.9GB • 128K context window •
Text input • 1 year ago
llama-3-taiwan-8b-instruct-128k:q5_0
5a6014b8c492 • 5.6GB • 128K context window •
Text input • 1 year ago
llama-3-taiwan-8b-instruct-128k:q5_1
841918de1163 • 6.1GB • 128K context window •
Text input • 1 year ago
llama-3-taiwan-8b-instruct-128k:q5_k_s
eb0dff201950 • 5.6GB • 128K context window •
Text input • 1 year ago
llama-3-taiwan-8b-instruct-128k:q5_k_m
2ed707b51edd • 5.7GB • 128K context window •
Text input • 1 year ago
llama-3-taiwan-8b-instruct-128k:q6_k
588072a0fb94 • 6.6GB • 128K context window •
Text input • 1 year ago
llama-3-taiwan-8b-instruct-128k:q8_0
5682c92cecae • 8.5GB • 128K context window •
Text input • 1 year ago
llama-3-taiwan-8b-instruct-128k:f16
4261eb43ce03 • 16GB • 128K context window •
Text input • 1 year ago