Auto-GPT-MetaTrader-Plugin
WizardVicunaLM
Auto-GPT-MetaTrader-Plugin | WizardVicunaLM | |
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10 | 12 | |
437 | 711 | |
- | - | |
7.0 | 6.8 | |
6 months ago | 11 months ago | |
Python | ||
MIT License | - |
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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)
WizardVicunaLM
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WizardLM-13B-V1.0-Uncensored
HELP! I need some clarification. I'm familiar with Wizard-Vicuna-13b-Uncensored which is EHartford's uncensoring of WizardVicunaLM.
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Ask HN: Should I cancel my GPT-4 subscription and get Copilot instead?
> I’m also open to open source models but I hear they’re not even as good as gpt3.5.
WizardVicunaLM claims ~97% performance relative to GPT3.5: https://github.com/melodysdreamj/WizardVicunaLM
It's not particularly great at generating code, but it's uncensored and writes fantastic prose. I've been using it for the last week and I'm really satisfied with where it stands.
> It’s sad that we’re stuck in this monopoly of powerful LLMs.
Won't anyone just sponsor a few months of dedicated GPU training, finetuning and quantizing so they can be held legally accountable for it's output?
I wouldn't hold my breath.
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Wizard-Vicuna-30B-Uncensored
Also, just noticed that you may have forgotten to update the readme, which references 13b, not 30b, thought maybe that was intentional. (If you linked directly to the Github ("WizardVicunaLM"), that would make it a bit easier for people like me to follow))
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Where we’re at with self-hosted AI today?
There are a lot of options. Right now I'm using WizardVicunaLM to great success: https://github.com/melodysdreamj/WizardVicunaLM
It combines the uncensored WizardLM data with the Vicuna tuning to create a surprisingly high-performance model. If the chart on their GitHub page is to be believed, their model approaches GPT-3.5 performance.
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WizardLM-30B-Uncensored
Here is the codebase and dataset for WizardVicuna https://github.com/melodysdreamj/WizardVicunaLM https://github.com/lm-sys/FastChat https://huggingface.co/datasets/RyokoAI/ShareGPT52K
- LLM that combines the principles of wizardLM and vicunaLM
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[P] airoboros 7b - instruction tuned on 100k synthetic instruction/responses
I used the same questions from WizardVicunaLM:
- Is there a "rut" that we're in on the way to general AI?
- WizardLM-13B-Uncensored
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Weekly Megathread
https://github.com/melodysdreamj/WizardVicunaLM - Combining WizardLM and Vicuña Principle. Made by u/Clear-Jelly2873
What are some alternatives?
shap-e - Generate 3D objects conditioned on text or images
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
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.
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
Auto-GPT-Notion - Auto-GPT Notion Plugin
promptfoo - Test your prompts, models, and RAGs. Catch regressions and improve prompt quality. LLM evals for OpenAI, Azure, Anthropic, Gemini, Mistral, Llama, Bedrock, Ollama, and other local & private models with CI/CD integration.
backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
nsfw-prompt-detection-sd - NSFW Prompt Detection for Stable Diffusion