ai-guide
llama-tools
ai-guide | llama-tools | |
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4 | 1 | |
112 | 11 | |
- | - | |
10.0 | 2.4 | |
11 months ago | about 1 year ago | |
Python | ||
- | MIT License |
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ai-guide
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WormGPT – The Generative AI Tool Cybercriminals Are Using
Read this a bit outdated article https://github.com/Crataco/ai-guide/blob/main/guide/original...
Or you can also see here https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderb...
- Now that sucks
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4-Apr-2023
Models guide (https://github.com/Crataco/ai-guide/blob/main/guide/models.md)
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State-of-the-art open-source chatbot, Vicuna-13B, just released model weights
Hi! Funnily enough I couldn't find much on it either, so that's exactly what I've been working on myself for the past few months: just in case this kind of question got asked.
I've recently opened a GitHub repository which includes information for both AI model series[0] and frontends you can use to run them[1]. I've also wrote a Reddit post that's messier, but a lot more technical[2].
I try to keep them as up-to-date as possible, but I might've missed something or my info may not be completely accurate. It's mostly to help get people's feet wet.
[0] - https://github.com/Crataco/ai-guide/blob/main/guide/models.m...
llama-tools
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State-of-the-art open-source chatbot, Vicuna-13B, just released model weights
> Unfortunately there's a mismatch between the model generated by the delta patcher and the tokenizer (32001 vs 32000 tokens). There's a tool to fix this at llama-tools (https://github.com/Ronsor/llama-tools). Add 1 token like (C controltoken), and then run the conversion script.
What are some alternatives?
marvin - ✨ Build AI interfaces that spark joy
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
llama.cpp - LLM inference in C/C++
dalai - The simplest way to run LLaMA on your local machine
rllama - Rust+OpenCL+AVX2 implementation of LLaMA inference code