Auto-GPT-MetaTrader-Plugin
open_llama
| Auto-GPT-MetaTrader-Plugin | open_llama | |
|---|---|---|
| 10 | 52 | |
| 437 | 7,211 | |
| - | 0.9% | |
| 7.0 | 5.3 | |
| 6 months ago | 10 months ago | |
| Python | ||
| MIT License | Apache License 2.0 |
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Auto-GPT-MetaTrader-Plugin
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Weekly Megathread
https://github.com/isaiahbjork/Auto-GPT-MetaTrader-Plugin - a software tool that enables traders to connect their MetaTrader 4 or 5 trading account to Auto-GPT.
- isaiahbjork/Auto-GPT-MetaTrader-Plugin: The AutoGPT MetaTrader Plugin is a software tool that enables traders to connect their MetaTrader 4 or 5 trading account to Auto-GPT.
- AutoGPT MetaTrader Plugin
- Auto-GPT MetaTrader Plugin (GPT-4 or GPT-3.5 turbo)
open_llama
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How Open is Generative AI? Part 2
The RedPajama dataset was adapted by the OpenLLaMA project at UC Berkeley, creating an open-source LLaMA equivalent without Meta’s restrictions. The model's later version also included data from Falcon and StarCoder. This highlights the importance of open-source models and datasets, enabling free repurposing and innovation.
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GPT-4 API general availability
OpenLLaMA is though. https://github.com/openlm-research/open_llama
All of these are surmountable problems.
We can beat OpenAI.
We can drain their moat.
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Recommend me a computer for local a.i for 500 $
#1: 🌞 Open-source Reproduction of Meta AI’s LLaMA OpenLLaMA-13B released. (trained for 1T tokens) | 0 comments #2: 🎉 #1 on HuggingFace.co's Leaderboard Model Falcon 40B is now Free (Apache 2.0 License) | 0 comments #3: 😍 Have you seen this repo? "running LLMs on consumer-grade hardware. compatible models: llama.cpp, alpaca.cpp, gpt4all.cpp, rwkv.cpp, whisper.cpp, vicuna, koala, gpt4all-j, cerebras and many others!" | 0 comments
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Who is openllama from?
Trained OpenLLaMA models are from the OpenLM Research team in collaboration with Stability AI: https://github.com/openlm-research/open_llama
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Personal GPT: A tiny AI Chatbot that runs fully offline on your iPhone
I can't use Llama or any model from the Llama family, due to license restrictions. Although now there's also the OpenLlama family of models, which have the same architecture but were trained on an open dataset (RedPajama, the same dataset the base model in my app was trained on). I'd love to pursue the direction of extended context lengths for on-device LLMs. Likely in a month or so, when I've implemented all the product feature that I currently have on my backlog.
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XGen-7B, a new 7B foundational model trained on up to 8K length for 1.5T tokens
https://github.com/openlm-research/open_llama#update-0615202...).
XGen-7B is probably the superior 7B model, it's trained on more tokens and a longer default sequence length (although both presumably can adopt SuperHOT (Position Interpolation) to extend context), but larger models still probably perform better on an absolute basis.
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MosaicML Agrees to Join Databricks to Power Generative AI for All
Compare it to openllama. It github doesn't have a single script on how to do anything.
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Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
OpenLLaMA models up to 13B parameters have now been trained on 1T tokens:
https://github.com/openlm-research/open_llama
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Containerized AI before Apocalypse 🐳🤖
The deployed LLM binary, orca mini, has 3 billion parameters. Orca mini is based on the OpenLLaMA project.
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AI — weekly megathread!
OpenLM Research released its 1T token version of OpenLLaMA 13B - the permissively licensed open source reproduction of Meta AI's LLaMA large language model. [Details].
What are some alternatives?
shap-e - Generate 3D objects conditioned on text or images
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Account-Protector - Automate emergency position closing and autotrading termination using a multi-setting expert advisor.
llama.cpp - LLM inference in C/C++
PositionSizer - Calculate your position size based on the risk and account size and execute your trades with this free MetaTrader expert advisor.
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
Auto-GPT-Notion - Auto-GPT Notion Plugin
gpt4all - gpt4all: run open-source LLMs anywhere
backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
gorilla - Gorilla: An API store for LLMs
nsfw-prompt-detection-sd - NSFW Prompt Detection for Stable Diffusion
ggml - Tensor library for machine learning