A tool for generating function arguments and choosing what function to call with local LLMs - local-llm-function-calling/poetry.lock at main · genostack/local-llm-function-calling
中文配音-llama-3+Ollama实现本地函数调用 Local Function Calling with Llama3 using Ollama and超级码力铁码金哥 立即播放 打开App,流畅又高清100+个相关视频 更多 1606 0 15:38 App [中文配音] 如何微调llama 3 LLAMA-3 🦙: EASIET WAY To FINE-TUNE ON YOUR DATA 🙌 2938 22 02:27:55 App ...
Local LLM function calling Overview The local-llm-function-calling project is designed to constrain the generation of Hugging Face text generation models by enforcing a JSON schema and facilitating the formulation of prompts for function calls, similar to OpenAI's function calling feature, but actually...
首先需要讨论一下为什么需要function calling,以及这种机制可以用来干什么。随便举个例子,现在有一些做具身智能的公司,llm当脑子,然后控制身体进行动作从而完成任务。容易想到,必然需要使用代码来处理llm的输出,这是有别于现在大多数纯对话的应用的,即将llm输出返回给用户就可以了。那么这里自然出现一个问题,llm的输出要使...
接口调用：提供多种使用模型的接口，包括 OpenAI 兼容的 RESTful API（包括 Function Calling），RPC，...
Implement tools and function calling to enhance model interactions for advanced workflows. Set up a user-friendly UI frontend to allow users to interface and chat with different Ollama models. Requirements Basic Python Programming Knowledge Comfort with Command Line Interface (CLI) ...
无需昂贵的云服务或GPU🦙 [https://github.com/mudler/LocalAI](https://github.com/mudler/LocalAI) LocalAI可以运行: **-文本转语音模型** **-音频转录** **-音频生成** **-图像生成** **-函数调用** **-LLM(带有llama.cpp、transformers和许多其他)** 只需点击几下,就可以在社区的数百个...
For now, only Finder uses structured output. Soon, the planner will also be driven by some open-source model. Waiting on either of the open-source models to implement function/tool calling.If you are a developer drop a star!Tool - https://github.com/BandarLabs/clickclickclick...
local-llm llama mistral llm provider typescript function-calling streaming agenite subeshb1 •0.3.0•4 days ago•0dependents•MITpublished version0.3.0,4 days ago0dependentslicensed under $MIT 202 nuxt-devtools-rubberduck A duck to talk code with. ...
Besides just failing the prompt, the biggest problem I’ve had with FIM is LLMs not know when to stop. For example, if I ask it to fill out this function (i.e. assign somethingr): defnorm(x:float,y:float)->float):returnr