cwchang/ llama-3-taiwan-70b-instruct

386 2 years ago

The model used is a quantized version of `Llama-3-Taiwan-70B-Instruct`. More details can be found on the website (https://huggingface.co/yentinglin/Llama-3-Taiwan-70B-Instruct)

11 models

llama-3-taiwan-70b-instruct:latest
c05742599319 • 50GB • 8K context window •
Text input • 2 years ago
llama-3-taiwan-70b-instruct:q3_k_s
06dbd0cd8c0e • 31GB • 8K context window •
Text input • 2 years ago
llama-3-taiwan-70b-instruct:q3_k_m
5f12c985c349 • 34GB • 8K context window •
Text input • 2 years ago
llama-3-taiwan-70b-instruct:q3_k_l
f57a0c8094c5 • 37GB • 8K context window •
Text input • 2 years ago
llama-3-taiwan-70b-instruct:q4_0
4c7049eee789 • 40GB • 8K context window •
Text input • 2 years ago
llama-3-taiwan-70b-instruct:q4_1
b384cd1c98bc • 44GB • 8K context window •
Text input • 2 years ago
llama-3-taiwan-70b-instruct:q4_k_s
bf4595197c5a • 40GB • 8K context window •
Text input • 2 years ago
llama-3-taiwan-70b-instruct:q4_k_m
b6e1700e2be8 • 43GB • 8K context window •
Text input • 2 years ago
llama-3-taiwan-70b-instruct:q5_k_m
c05742599319 • 50GB • 8K context window •
Text input • 2 years ago
llama-3-taiwan-70b-instruct:q6_k
433841a0b8d4 • 58GB • 8K context window •
Text input • 2 years ago
llama-3-taiwan-70b-instruct:q8_0
81803f62e25b • 75GB • 8K context window •
Text input • 2 years ago