Llama-2-70B-instruct-v2 Chatbot Online | 無料のAIツール
Wnat to test out the latest Llaama 2 70b model online? Try this Chatbot!
アプリの概要
Llama 2 70B Instruct v2 Chatbot
Welcome to the Llama 2 70B Instruct v2 chatbot, powered by the Llama-2-70B-instruct-v2 language model, created by Upstage. This chatbot is designed to assist you in various tasks and provide information on a wide range of topics. In this guide, we will introduce you to the chatbot and provide instructions on how to use it effectively.
About Llama 2 70B Instruct v2
The Llama 2 70B Instruct v2 chatbot is built on the Llama-2-70B-instruct-v2 model, which is a powerful language model developed by Upstage. This model is specifically designed to handle a wide range of natural language understanding and generation tasks. It has been fine-tuned to provide accurate and contextually relevant responses to your queries.
Compatibility
Before using the Llama 2 70B Instruct v2 chatbot, it's essential to understand its compatibility requirements. This chatbot is compatible with various tools and libraries, including llama.cpp
, text-generation-webui
, KoboldCpp
, LM Studio
, llama-cpp-python
, and ctransformers
. Please note that compatibility with llama.cpp
is limited to versions up to commit e76d630
until August 21st, 2023. If you plan to use llama.cpp
, ensure that you add the -gqa 8
argument.
For the latest llama.cpp
compatibility and other tools, consider using GGUF models instead of GGML models.
Provided Files
The Llama 2 70B Instruct v2 model comes with various quantization options, each suitable for specific use cases. These quantization methods vary in terms of bits, size, and maximum RAM requirements. Choose the one that best fits your requirements. Here are some of the provided files:
Name | Quant method | Bits | Size | Max RAM required | Use case |
---|---|---|---|---|---|
upstage-llama-2-70b-instruct-v2.ggmlv3.q2_K.bin | q2_K | 2 | 28.59 GB | 31.09 GB | New k-quant method |
upstage-llama-2-70b-instruct-v2.ggmlv3.q3_K_S.bin | q3_K_S | 3 | 29.75 GB | 32.25 GB | New k-quant method |
upstage-llama-2-70b-instruct-v2.ggmlv3.q4_K_M.bin | q4_K_M | 4 | 41.38 GB | 43.88 GB | New k-quant method |
upstage-llama-2-70b-instruct-v2.ggmlv3.q5_K_S.bin | q5_K_S | 5 | 47.46 GB | 49.96 GB | New k-quant method |
How to Run in llama.cpp
If you plan to use llama.cpp
, ensure that you are using a compatible version (up to commit e76d630
until August 21st, 2023). Here's a sample command line for running the chatbot:
./main -t 10 -ngl 40 -gqa 8 -m upstage-llama-2-70b-instruct-v2.ggmlv3.q4_K_M.bin --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "### System:\n{system_message}\n\n### User:\n{prompt}\n\n### Assistant:"
Please adjust the -t
and -ngl
parameters based on your system's CPU cores and GPU layers. Ensure that you include the -gqa 8
argument to specify compatibility with Llama 70B models.
For more details and parameters, refer to the llama.cpp
documentation.
How to Run in text-generation-webui
For running the chatbot in text-generation-webui
, please follow the instructions provided in the text-generation-webui/docs/llama.cpp-models.md
documentation.
Discord Community
If you need further support, have questions, or want to discuss these models and AI-related topics, you can join the community at TheBloke AI's Discord server.
Contributions and Support
Upstage and the creator of this model welcome contributions and support to continue providing models and expanding into new AI projects. If you're interested in contributing or supporting, you can do so through Patreon or Ko-Fi. Contributors receive priority support and access to a private Discord room, among other benefits.
Special thanks to all generous patrons and supporters who make these projects possible.
Usage Instructions
Now that you have learned about the Llama 2 70B Instruct v2 chatbot and its compatibility, you can start using it for various tasks. Whether you need assistance with natural language understanding, text generation, or any other language-related task, this chatbot is here to help.
To interact with the chatbot, you can use the following template:
### User:
{your_message}
The chatbot will provide responses based on the input you provide. Feel free to ask questions, seek information, or engage in natural language conversations.
Conclusion
The Llama 2 70B Instruct v2 chatbot, powered by the Llama-2-70B-instruct-v2 model, offers a powerful and versatile solution for natural language understanding and generation tasks. Whether you're a developer, researcher, or simply curious about AI, you can make use of this chatbot to explore the capabilities of advanced language models.
If you have any questions, need assistance, or want to join the AI community, don't hesitate to reach out. Enjoy using the Llama 2 70B Instruct v2 chatbot, and make the most of its capabilities for your language-related needs.