ローカルでLLMの推論を実行するのにOllama family llama 7B
ローカルでLLMの推論を実行するのにOllama family llama 7B
第１ 今回はllama.cppを使用
family llama 7Bを使用
第２ install
第３ 英文入力
hello
こんにちは
Copilot
It seems you’re referring to a model with a parameter size of 7 billion (7B). This size is often associated with large language models (LLMs) that have been trained on extensive datasets to perform various natural language processing tasks. For instance, the ELYZA-japanese-Llama-2-7b is a Japanese language model based on Meta’s Llama 2, which has been pretrained on a massive corpus of data1. Similarly, Mistral 7B is another language model known for its efficiency and performance on benchmarks2.
These models are part of the ongoing advancements in AI, where increasing the parameter count can significantly enhance the model’s ability to understand and generate human-like text. If you have more specific questions or need assistance related to these models, feel free to ask!
第４ おまけ
NVIDIAがローカルで手軽に動せるAIチャット「Chat with RTX」をリリース！その実力は？
あ）手持ちのパソコンは非対応
以上
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