llamazoo
InternGPT
| llamazoo | InternGPT | |
|---|---|---|
| 2 | 5 | |
| 57 | 3,128 | |
| - | 1.3% | |
| 10.0 | 8.8 | |
| 5 months ago | 5 months ago | |
| C | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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llamazoo
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Gotzmann LLM Score
Parameters for all tests (done with llama.cpp thru LLaMAZoo):
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Have to abandon my (almost) finished LLaMA-API-Inference server. If anybody finds it useful and wants to continue, the repo is yours. :)
Looks like exactly same idea I'm doing right now with LLaMAZoo: https://github.com/gotzmann/llamazoo
InternGPT
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How do I use the programs on Github?
You can also create an issue and ask the developers for help.
- InternGPT
- DragGAN demo is now live!! Best AI Tool For Editing Images
- Web based multimodal ChatGPT - InternGPT
What are some alternatives?
accelerate - 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
langchain-chatbot - Chatbot using LLM chat model and Langchain, LangSmith.
llama.py - Python bindings to llama.cpp
NExT-GPT - Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model
TALIS - Simple and fast server for GPTQ-quantized LLaMA inference
MiniGPT-4-discord-bot - A true multimodal LLaMA derivative -- on Discord!
llama-go - Port of Facebook's LLaMA (Large Language Model Meta AI) in Golang with embedded C/C++
Multi-Modality-Arena - Chatbot Arena meets multi-modality! Multi-Modality Arena allows you to benchmark vision-language models side-by-side while providing images as inputs. Supports MiniGPT-4, LLaMA-Adapter V2, LLaVA, BLIP-2, and many more!
llama.go - llama.go is like llama.cpp in pure Golang!
codeinterpreter-api - 👾 Open source implementation of the ChatGPT Code Interpreter
InternChat - InternGPT / InternChat allows you to interact with ChatGPT by clicking, dragging and drawing using a pointing device. [Moved to: https://github.com/OpenGVLab/InternGPT]
agentchain - Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks