llama2-7b-chat-hf-codeCherryPop-qLoRA-merged
Maintainer: TokenBender
69
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The llama2-7b-chat-hf-codeCherryPop-qLoRA-merged is a variant of the LLaMA language model developed by TokenBender. It is similar to other LLaMA-based models like Llama-2-13B-Chat-fp16, Llama-2-7B-bf16-sharded, llama-2-7b-chat-hf, medllama2_7b, and LLaMA-7B.
Model inputs and outputs
The llama2-7b-chat-hf-codeCherryPop-qLoRA-merged model takes text as input and generates text as output. It can be used for a variety of text-to-text tasks such as question answering, summarization, and language generation.
Inputs
- Text prompts
Outputs
- Generated text
Capabilities
The llama2-7b-chat-hf-codeCherryPop-qLoRA-merged model has capabilities for tasks like question answering, summarization, and language generation. It can provide informative and coherent responses to a variety of prompts.
What can I use it for?
The llama2-7b-chat-hf-codeCherryPop-qLoRA-merged model could be used for projects like chatbots, content generation, and language learning. It could also be fine-tuned for specific domains or tasks to improve performance.
Things to try
You could try using the llama2-7b-chat-hf-codeCherryPop-qLoRA-merged model to generate responses to open-ended questions, summarize long passages of text, or even assist with creative writing tasks. Experiment with different prompts and see what the model is capable of.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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