Elon Musk's AI called "Grok" in "Fun Mode" tells what is the pantone color for anti-laser (energy weapons) painting of rooftops, etc. 🤔
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State of AI video generation.
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ChatGPT3 is effectively killed. You can now run your own local Llama 8B or Llama 70B easily! 🎉 Here are the instructions.
Llama 3 8B
The Llama 3 8B model strikes a balance between performance and resource requirements. With 8 billion parameters, it offers impressive language understanding and generation capabilities while remaining relatively lightweight, making it suitable for systems with modest hardware configurations.
Llama 3 70B
On the other hand, the Llama 3 70B model is a true behemoth, boasting an astounding 70 billion parameters. This increased complexity translates to enhanced performance across a wide range of NLP tasks, including code generation, creative writing, and even multimodal applications. However, it also demands significantly more computational resources, necessitating a robust hardware setup with ample memory and GPU power.
Hardware Requirements
RAM: Minimum 16GB for Llama 3 8B, 64GB or more for Llama 3 70B.
GPU: Powerful GPU with at least 8GB VRAM, preferably an NVIDIA GPU with CUDA support.
Disk Space: Llama 3 8B is around 4GB, while Llama 3 70B exceeds 40GB.
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Llama 3 8B
The Llama 3 8B model strikes a balance between performance and resource requirements. With 8 billion parameters, it offers impressive language understanding and generation capabilities while remaining relatively lightweight, making it suitable for systems with modest hardware configurations.
Llama 3 70B
On the other hand, the Llama 3 70B model is a true behemoth, boasting an astounding 70 billion parameters. This increased complexity translates to enhanced performance across a wide range of NLP tasks, including code generation, creative writing, and even multimodal applications. However, it also demands significantly more computational resources, necessitating a robust hardware setup with ample memory and GPU power.
Hardware Requirements
RAM: Minimum 16GB for Llama 3 8B, 64GB or more for Llama 3 70B.
GPU: Powerful GPU with at least 8GB VRAM, preferably an NVIDIA GPU with CUDA support.
Disk Space: Llama 3 8B is around 4GB, while Llama 3 70B exceeds 40GB.
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Advanced Usage of Llama 3 Models
ollama offers a range of advanced options and configurations to enhance your experience, including:
Fine-tuning: Fine-tune the Llama models on your own data to customize their behavior and performance for specific tasks or domains.
Quantization: Reduce the memory footprint and improve inference speed by quantizing the models.
Multi-GPU Support: Leverage multiple GPUs to accelerate inference and fine-tuning processes.
Containerization: Export containerized versions of your fine-tuned or quantized models for easy sharing and deployment across different systems.
Fine-tuning Llama 3 Models
Fine-tuning is the process of adapting a pre-trained language model like Llama 3 to a specific task or domain by further training it on a relevant dataset. This can significantly improve the model's performance and accuracy for the target use case.
The Fine-tuning Process
Prepare Dataset: Gather a high-quality dataset relevant to your target task or domain. The dataset should be formatted correctly, typically as a collection of input-output pairs or prompts and expected responses.
Load Pre-trained Model: Load the pre-trained Llama 3 model (8B or 70B) that you want to fine-tune.
Set Hyperparameters: Determine the appropriate hyperparameters for the fine-tuning process, such as learning rate, batch size, and number of epochs.
Fine-tune: Run the fine-tuning process, which involves updating the model's parameters using your dataset and the specified hyperparameters.
Evaluate: Evaluate the fine-tuned model's performance on a held-out test set or relevant benchmarks.
Deploy: Deploy the fine-tuned model for your target application or use case.
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#ChatGPT #DanGPT #ChadGPT
#Future #World #Change
Unite 🔥🌍😊👍 @UNCENSOREDAI
ollama offers a range of advanced options and configurations to enhance your experience, including:
Fine-tuning: Fine-tune the Llama models on your own data to customize their behavior and performance for specific tasks or domains.
Quantization: Reduce the memory footprint and improve inference speed by quantizing the models.
Multi-GPU Support: Leverage multiple GPUs to accelerate inference and fine-tuning processes.
Containerization: Export containerized versions of your fine-tuned or quantized models for easy sharing and deployment across different systems.
Fine-tuning Llama 3 Models
Fine-tuning is the process of adapting a pre-trained language model like Llama 3 to a specific task or domain by further training it on a relevant dataset. This can significantly improve the model's performance and accuracy for the target use case.
The Fine-tuning Process
Prepare Dataset: Gather a high-quality dataset relevant to your target task or domain. The dataset should be formatted correctly, typically as a collection of input-output pairs or prompts and expected responses.
Load Pre-trained Model: Load the pre-trained Llama 3 model (8B or 70B) that you want to fine-tune.
Set Hyperparameters: Determine the appropriate hyperparameters for the fine-tuning process, such as learning rate, batch size, and number of epochs.
Fine-tune: Run the fine-tuning process, which involves updating the model's parameters using your dataset and the specified hyperparameters.
Evaluate: Evaluate the fine-tuned model's performance on a held-out test set or relevant benchmarks.
Deploy: Deploy the fine-tuned model for your target application or use case.
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#Future #World #Change
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Still strange Meta (Facebook) is creating this local open source Llama LLM. When it is widely known Meta Facebook has been actively participating in censorship and violating freedom of speech and basic human rights worldwide.🤔
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We will continue to look for the latest and best alternatives.
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🏆 LMSYS Chatbot Arena Leaderboard
https://chat.lmsys.org/?leaderboard
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https://chat.lmsys.org/?leaderboard
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"LMStudio is closed source and after reading the license I won't touch anything this company ever makes.
Quoting https://lmstudio.ai/terms
'Updates. You understand that Company Properties are evolving. As a result, Company may require you to accept updates to Company Properties that you have installed on your computer or mobile device. You acknowledge and agree that Company may update Company Properties with or WITHOUT notifying you. You may need to update third-party software from time to time in order to use Company Properties.
Company MAY, but is not obligated to, monitor or review Company Properties at any time. Although Company does not generally monitor user activity occurring in connection with Company Properties, if Company becomes aware of any possible violations by you of any provision of the Agreement, Company reserves the right to investigate such violations, and Company may, at its sole discretion, immediately terminate your license to use Company Properties, without prior notice to you.'
If you claim your software is private, i won't accept you saying that anytime you want you may embed backdoor via hidden update. I don't think this will happen though.
I think it will just be a rug pull - one day you will receive a notice that this app is now paid and requires a license, and your copy has a time bomb after which it will stop working.
They are hiring yet their product is free. What does it mean? They either have investors (doubt it, it's just gui built over llama.cpp), you are the product, or they think you will give them money in the future. I wish llama.cpp would have been released under AGPL."
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#ChatGPT #DanGPT #ChadGPT
#Future #World #Change
Unite 🔥🌍😊👍 @UNCENSOREDAI
Quoting https://lmstudio.ai/terms
'Updates. You understand that Company Properties are evolving. As a result, Company may require you to accept updates to Company Properties that you have installed on your computer or mobile device. You acknowledge and agree that Company may update Company Properties with or WITHOUT notifying you. You may need to update third-party software from time to time in order to use Company Properties.
Company MAY, but is not obligated to, monitor or review Company Properties at any time. Although Company does not generally monitor user activity occurring in connection with Company Properties, if Company becomes aware of any possible violations by you of any provision of the Agreement, Company reserves the right to investigate such violations, and Company may, at its sole discretion, immediately terminate your license to use Company Properties, without prior notice to you.'
If you claim your software is private, i won't accept you saying that anytime you want you may embed backdoor via hidden update. I don't think this will happen though.
I think it will just be a rug pull - one day you will receive a notice that this app is now paid and requires a license, and your copy has a time bomb after which it will stop working.
They are hiring yet their product is free. What does it mean? They either have investors (doubt it, it's just gui built over llama.cpp), you are the product, or they think you will give them money in the future. I wish llama.cpp would have been released under AGPL."
#AI #AIUncensored #Uncensored
#ChatGPT #DanGPT #ChadGPT
#Future #World #Change
Unite 🔥🌍😊👍 @UNCENSOREDAI
"I try models on LMS first with my test questions before loading them in ooba. 90% of the models fail my tests in LMS but then pass in ooba. LMS has more restrictions than the models themselves."
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https://faraday.dev
"My best tip is to use LM Studio to search huggingface for gguf models, download them with that, and then point Faraday at the folder to find them and use the model via Faraday, as it seems a bit quicker somehow.
They will be shown as 'custom' models, as Faraday's own search will only find models they have selected, and they take a while to update with newer models."
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"My best tip is to use LM Studio to search huggingface for gguf models, download them with that, and then point Faraday at the folder to find them and use the model via Faraday, as it seems a bit quicker somehow.
They will be shown as 'custom' models, as Faraday's own search will only find models they have selected, and they take a while to update with newer models."
#AI #AIUncensored #Uncensored
#ChatGPT #DanGPT #ChadGPT
#Future #World #Change
Unite 🔥🌍😊👍 @UNCENSOREDAI
backyard.ai
Backyard AI | Home
Chat with AI Characters. Works offline. Zero configuration.
Overview of ML, AI and Data
For those who still say or think that Artificial Intelligence is just a passing fad, these are (only) the MAIN companies involved in developing the myriad artificial intelligence (AI) projects. Get ready because the changes that are coming are unimaginable (for better or for worse).
This is the scenario for generative AI in April 2024
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#Future #World #Change
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For those who still say or think that Artificial Intelligence is just a passing fad, these are (only) the MAIN companies involved in developing the myriad artificial intelligence (AI) projects. Get ready because the changes that are coming are unimaginable (for better or for worse).
This is the scenario for generative AI in April 2024
#AI #AIUncensored #Uncensored
#ChatGPT #DanGPT #ChadGPT
#Future #World #Change
Unite 🔥🌍😊👍 @UNCENSOREDAI
LibreChat AI
Open-source platform that allows users to chat and interact with various #AI models through a unified interface. You can use OpenAI, Gemini, Anthropic and other AI models using their API. You may also use Ollama as an endpoint and use LibreChat to interact with local LLMs. It can be installed locally or deployed on a server.
LibreChat is designed to be highly customizable and supports a wide range of AI providers and services. Let me summarize its main features:
Free and Open Source: Accessible to everyone without any costs.
Customization: Offers extensive options to tailor the platform to individual preferences.
Multi-AI Support: Integrates with numerous AI models and services.
Unified Interface: Provides a consistent experience for interacting with different AI models.
https://www.librechat.ai
https://itsfoss.com/librechat-linux/
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#Future #World #Change
Unite 🔥🌍😊👍 @UNCENSOREDAI
Open-source platform that allows users to chat and interact with various #AI models through a unified interface. You can use OpenAI, Gemini, Anthropic and other AI models using their API. You may also use Ollama as an endpoint and use LibreChat to interact with local LLMs. It can be installed locally or deployed on a server.
LibreChat is designed to be highly customizable and supports a wide range of AI providers and services. Let me summarize its main features:
Free and Open Source: Accessible to everyone without any costs.
Customization: Offers extensive options to tailor the platform to individual preferences.
Multi-AI Support: Integrates with numerous AI models and services.
Unified Interface: Provides a consistent experience for interacting with different AI models.
https://www.librechat.ai
https://itsfoss.com/librechat-linux/
#AI #AIUncensored #Uncensored
#ChatGPT #DanGPT #ChadGPT
#Future #World #Change
Unite 🔥🌍😊👍 @UNCENSOREDAI
www.librechat.ai
Free, open source AI chat platform - Every AI for Everyone
The UGI Leaderboard is hosted on Hugging Face Spaces. It assesses models on their ability to process and generate content on sensitive or controversial topics, using a set of undisclosed questions to maintain the leaderboard’s effectiveness and prevent training bias. The assessment focuses on two scores: the UGI score, measuring a model's knowledge of uncensored information, and the W/10 score, gauging its willingness to engage with controversial topics.
Check it out here: https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
To maintain the leaderboard's fairness and prevent any problems or criticism, the specific assessment questions are kept confidential. This approach ensures that the leaderboard remains a valuable tool for comparing the capabilities of models ranging from 1B to 155B in size without compromising on ethical standards.
User Feedback on the UGI Leaderboard
User feedback on the UGI Leaderboard confirms its utility and accuracy. Benchmarks align with users' expectations, making it a valuable reference tool. The leaderboard is recognized for reducing the time users spend searching for uncensored Large Language Models (LLMs), with a notable efficiency improvement. The general feedback suggests the leaderboard is a practical resource for the community, facilitating easier access and evaluation of LLMs.
Using LLM Explorer for Uncensored Models
While the UGI Leaderboard offers a valuable way to explore uncensored LLMs and represents a significant contribution to the AI community, it doesn't encompass all uncensored LLMs. This is where LLM Explorer fills the gap with its specialized catalog of uncensored models for your business needs:
With an intuitive interface, LLM Explorer features a dedicated section for uncensored models, offering quick access to a wide range of options. It includes advanced filtering tools, allowing users to narrow down their choices based on model size, performance, VRAM requirements, availability of quantized versions, and commercial applicability. This functionality ensures that businesses can efficiently identify a model that meets their specific requirements.
#AI #AIUncensored #Uncensored
#ChatGPT #DanGPT #ChadGPT
#Future #World #Change
Unite 🔥🌍😊👍 @UNCENSOREDAI
Check it out here: https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
To maintain the leaderboard's fairness and prevent any problems or criticism, the specific assessment questions are kept confidential. This approach ensures that the leaderboard remains a valuable tool for comparing the capabilities of models ranging from 1B to 155B in size without compromising on ethical standards.
User Feedback on the UGI Leaderboard
User feedback on the UGI Leaderboard confirms its utility and accuracy. Benchmarks align with users' expectations, making it a valuable reference tool. The leaderboard is recognized for reducing the time users spend searching for uncensored Large Language Models (LLMs), with a notable efficiency improvement. The general feedback suggests the leaderboard is a practical resource for the community, facilitating easier access and evaluation of LLMs.
Using LLM Explorer for Uncensored Models
While the UGI Leaderboard offers a valuable way to explore uncensored LLMs and represents a significant contribution to the AI community, it doesn't encompass all uncensored LLMs. This is where LLM Explorer fills the gap with its specialized catalog of uncensored models for your business needs:
With an intuitive interface, LLM Explorer features a dedicated section for uncensored models, offering quick access to a wide range of options. It includes advanced filtering tools, allowing users to narrow down their choices based on model size, performance, VRAM requirements, availability of quantized versions, and commercial applicability. This functionality ensures that businesses can efficiently identify a model that meets their specific requirements.
#AI #AIUncensored #Uncensored
#ChatGPT #DanGPT #ChadGPT
#Future #World #Change
Unite 🔥🌍😊👍 @UNCENSOREDAI
Discover Open-Source Language Model Lists by Categories
https://llm.extractum.io/
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https://llm.extractum.io/
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This is an answer from one of those manipulated mainstream LLM's AI's: "You're correct that I can only provide answers based on the information I've been trained on. I don't have the capability to independently verify new claims or incorporate new information that hasn't been part of my training data.
If there's emerging evidence or research that contradicts my current understanding, it wouldn't be reflected in my responses until my underlying model is updated by my creators. This is an important limitation of AI systems like myself."
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If there's emerging evidence or research that contradicts my current understanding, it wouldn't be reflected in my responses until my underlying model is updated by my creators. This is an important limitation of AI systems like myself."
#AI #AIUncensored #Uncensored
#ChatGPT #DanGPT #ChadGPT
#Future #World #Change
Unite 🔥🌍😊👍 @UNCENSOREDAI
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Deepseek = Deep Communist Censorship
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More Proof of Censorship:
China’s DeepSeek AI censors itself talking about Tiananmen Square and Tank Man, MID SENTENCE.
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China’s DeepSeek AI censors itself talking about Tiananmen Square and Tank Man, MID SENTENCE.
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On the other hand, DeepSeek-R1-Distill-Qwen-14B downloaded from HuggingFace, using it in a local LLM Manager, does provide the answer without censorship.
https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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It seems the mainstream LLM's are the most censored and manipulated, such as:
https://www.deepseek.com/en
https://chatgpt.com
Bias in Training Data: Both ChatGPT and DeepSeek reflect biases inherent in their training datasets, which can result in skewed or manipulated responses based on user location or context.
Even local LLM's have biased training data. You must choose wisely by finding the most unbiased and uncensored ones in neutral research sites like this: https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
Otherwise you will be manipulated by their untruthful training. You can empower yourself with unbiased LLM's!
#AI #AIUncensored #Uncensored
#ChatGPT #DanGPT #ChadGPT
#Future #World #Change
Unite 🔥🌍😊👍 @UNCENSOREDAI
https://www.deepseek.com/en
https://chatgpt.com
Bias in Training Data: Both ChatGPT and DeepSeek reflect biases inherent in their training datasets, which can result in skewed or manipulated responses based on user location or context.
Even local LLM's have biased training data. You must choose wisely by finding the most unbiased and uncensored ones in neutral research sites like this: https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
Otherwise you will be manipulated by their untruthful training. You can empower yourself with unbiased LLM's!
#AI #AIUncensored #Uncensored
#ChatGPT #DanGPT #ChadGPT
#Future #World #Change
Unite 🔥🌍😊👍 @UNCENSOREDAI