GGUF versions generally load faster and run nicely on a laptop with at least 16 GB of RAM gguf_models = ["bling-phi-3-gguf", "bling-stablelm-3b-tool", "dragon-llama-answer-tool", "dragon-yi-answer-tool", "dragon-mistral-answer-tool"] # try model from either pytorch or gguf ...
免费在线预览全文 TTEESSTT FFOORR EENNGGLLIISSHH MMAAJJOORRSS ()--GGRRAADDEE FFOOUURR-- 试卷总分:100 答题时 :135分钟 TIME LIMIT: 135MIN PPAARRTT II DDIICCTTAATTIIOONN::[[1155 MMIINN]] 1. Listen to the following passage. Altogether the passage will be read to you four times. Duri...
GGUF versions generally load faster and run nicely on a laptop with at least 16 GB of RAM gguf_models = ["bling-phi-3-gguf", "bling-stablelm-3b-tool", "dragon-llama-answer-tool", "dragon-yi-answer-tool", "dragon-mistral-answer-tool"] # try model from either pytorch or gguf ...
""" This 'Hello World' example demonstrates how to get started using local BLING models with provided context, using both Pytorch and GGUF versions. """ import time from llmware.prompts import Prompt def hello_world_questions(): test_list = [ {"query": "What is the total amount of the...