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open-interpreter.sh
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#!/bin/sh | |
chmod +x ./TinyLlama-1.1B | |
sh ./TinyLlama-1.1B -n 9999 | |
pip install open-interpreter | |
interpreter --api_base "http://127.0.0.1:8080/v1" --api_key "fake_key" | |
#References | |
# 【完全無料】Google ColabでOpen InterpreterをLlama 2で動かす #Python - Qiita | |
# https://qiita.com/uorijie/items/68758c9a7ebf608a1cab | |
# 【Open Interpreterの使い方】生成AIのCode Llamaで自分のPCを操作してみた – trends | |
# https://trends.codecamp.jp/blogs/media/how-to-use-open-interpreter-with-code-llama | |
# open-interpreter/docs/language-models/local-models/llamafile.mdx at main · OpenInterpreter/open-interpreter | |
# https://github.com/OpenInterpreter/open-interpreter/blob/main/docs/language-models/local-models/llamafile.mdx | |
# Open InterpreterをDockerで動かす | |
# https://zenn.dev/karaage0703/articles/e2e6417fb003dd | |
# SeungyounShin/Llama2-Code-Interpreter: Make Llama2 use Code Execution, Debug, Save Code, Reuse it, Access to Internet | |
# https://github.com/SeungyounShin/Llama2-Code-Interpreter | |
# 話題のOpen Interpreterを触ってみた: NECセキュリティブログ | NEC | |
# https://jpn.nec.com/cybersecurity/blog/231027/index.html | |
# 【Mistral 7B】Llama 2超えの性能を持つLLMらしいので、比較レビューしてみた | WEEL | |
#.https://weel.co.jp/media/tech/mistral-7b/ | |
# ローカルでLLMの推論を実行するのにOllamaがかわいい | |
# https://zenn.dev/seya/articles/03399b9e3d465e | |
# OpenInterpreter/open-interpreter: A natural language interface for computers | |
# https://github.com/OpenInterpreter/open-interpreter | |
# Mozilla-Ocho/llamafile: Distribute and run LLMs with a single file. | |
# https://github.com/Mozilla-Ocho/llamafile | |
# 【Llama2】コード生成Code Llamaの使い方 | 7B・13B・34B・70B | 業界最安級GPUクラウド | GPUSOROBAN | |
# https://soroban.highreso.jp/article/article-066 | |
# 【Code Llama】最強コード生成AIの使い方と実践を解説 | WEEL | |
# https://weel.co.jp/media/tech/codellama/ | |
# codellama/CodeLlama-7b-hf · Hugging Face | |
# https://huggingface.co/codellama/CodeLlama-7b-hf | |
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