llama-2-7b-hf-small-shards
Maintainer: abhishek
57
๐ฏ
| 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 |
Create account to get full access
Model overview
The llama-2-7b-hf-small-shards is a text-to-text AI model developed by the maintainer abhishek. While the platform did not provide a detailed description, this model appears to be part of the Llama family of large language models, which are known for their versatile text generation capabilities. Similar models include the Llama-2-7B-bf16-sharded, LLaMA-7B, llama-30b-supercot, and medllama2_7b.
Model inputs and outputs
The llama-2-7b-hf-small-shards model is designed to take text-based inputs and generate text-based outputs. The specific details of the model's input and output formats are not provided, but it is likely capable of handling a wide range of text-based tasks, such as language generation, text summarization, and question answering.
Inputs
- Text-based inputs
Outputs
- Text-based outputs
Capabilities
The llama-2-7b-hf-small-shards model is a versatile text-to-text AI model that can be used for a variety of natural language processing tasks. Its capabilities likely include language generation, text summarization, and question answering, among others.
What can I use it for?
The llama-2-7b-hf-small-shards model can be used for a wide range of applications, such as chatbots, content creation, and research. Developers could utilize this model to build conversational interfaces, generate text-based summaries, or explore novel text-based applications.
Things to try
With the llama-2-7b-hf-small-shards model, you could experiment with different text-based tasks, such as generating creative stories, answering questions, or summarizing long-form content. The model's versatility allows for a wide range of potential applications and creative explorations.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
Related Models
๐งช
Llama-2-7B-bf16-sharded
71
The Llama-2-7B-bf16-sharded is a text-to-text AI model created by TinyPixel. It is similar to other LLaMA-based models like the Llama-2-13B-Chat-fp16 by TheBloke, the LLaMA-7B by nyanko7, and the medllama2_7b by llSourcell. Model inputs and outputs The Llama-2-7B-bf16-sharded model takes text-based inputs and generates text outputs. It can handle a variety of text-based tasks, including natural language processing, generation, and understanding. Inputs Text-based prompts or queries Outputs Generated text Responses to prompts or queries Capabilities The Llama-2-7B-bf16-sharded model is capable of a range of text-based tasks, including language generation, language understanding, and text summarization. It can be used for applications such as chatbots, content creation, and question-answering systems. What can I use it for? The Llama-2-7B-bf16-sharded model can be used for a variety of applications, such as building chatbots, automating content creation, and powering question-answering systems. Developers and researchers can explore using this model for their own projects by checking out the TinyPixel's profile page. Things to try With the Llama-2-7B-bf16-sharded model, you can experiment with different types of text-based tasks, such as generating creative stories, summarizing long documents, or answering complex questions. The model's versatility allows for a wide range of potential use cases, so it's worth exploring how it might fit into your own projects or research.
Updated Invalid Date
โจ
Llama-2-7B-fp16
44
The Llama-2-7B-fp16 model is a text-to-text AI model created by the Hugging Face contributor TheBloke. It is part of the Llama family of models, which also includes similar models like Llama-2-13B-Chat-fp16, Llama-2-7B-bf16-sharded, and Llama-3-70B-Instruct-exl2. These models are designed for a variety of natural language processing tasks. Model inputs and outputs The Llama-2-7B-fp16 model takes text as input and generates text as output. It can handle a wide range of text-to-text tasks, such as question answering, summarization, and language generation. Inputs Text prompts Outputs Generated text responses Capabilities The Llama-2-7B-fp16 model has a range of capabilities, including natural language understanding, text generation, and question answering. It can be used for tasks such as content creation, dialogue systems, and language learning. What can I use it for? The Llama-2-7B-fp16 model can be used for a variety of applications, such as content creation, chatbots, and language learning tools. It can also be fine-tuned for specific use cases to improve performance. Things to try Some interesting things to try with the Llama-2-7B-fp16 model include using it for creative writing, generating personalized content, and exploring its natural language understanding capabilities. Experimentation and fine-tuning can help unlock the model's full potential.
Updated Invalid Date
โ
medllama2_7b
131
The medllama2_7b model is a large language model created by the AI researcher llSourcell. It is similar to other models like LLaMA-7B, chilloutmix, sd-webui-models, mixtral-8x7b-32kseqlen, and gpt4-x-alpaca. These models are all large language models trained on vast amounts of text data, with the goal of generating human-like text across a variety of domains. Model inputs and outputs The medllama2_7b model takes text prompts as input and generates text outputs. The model can handle a wide range of text-based tasks, from generating creative writing to answering questions and summarizing information. Inputs Text prompts that the model will use to generate output Outputs Human-like text generated by the model in response to the input prompt Capabilities The medllama2_7b model is capable of generating high-quality text that is often indistinguishable from text written by a human. It can be used for tasks like content creation, question answering, and text summarization. What can I use it for? The medllama2_7b model can be used for a variety of applications, such as llSourcell's own research and projects. It could also be used by companies or individuals to streamline their content creation workflows, generate personalized responses to customer inquiries, or even explore creative writing and storytelling. Things to try Experimenting with different types of prompts and tasks can help you discover the full capabilities of the medllama2_7b model. You could try generating short stories, answering questions on a wide range of topics, or even using the model to help with research and analysis.
Updated Invalid Date
๐
LLaMA-7B
202
The LLaMA-7B is a text-to-text AI model developed by nyanko7, as seen on their creator profile. It is similar to other large language models like vicuna-13b-GPTQ-4bit-128g, gpt4-x-alpaca, and gpt4-x-alpaca-13b-native-4bit-128g, which are also text-to-text models. Model inputs and outputs The LLaMA-7B model takes in text as input and generates text as output. It can handle a wide variety of text-based tasks, such as language generation, question answering, and text summarization. Inputs Text prompts Outputs Generated text Capabilities The LLaMA-7B model is capable of handling a range of text-based tasks. It can generate coherent and contextually-relevant text, answer questions based on provided information, and summarize longer passages of text. What can I use it for? The LLaMA-7B model can be used for a variety of applications, such as chatbots, content generation, and language learning. It could be used to create engaging and informative text-based content for websites, blogs, or social media. Additionally, the model could be fine-tuned for specific tasks, such as customer service or technical writing, to improve its performance in those areas. Things to try With the LLaMA-7B model, you could experiment with different types of text prompts to see how the model responds. You could also try combining the model with other AI tools or techniques, such as image generation or text-to-speech, to create more comprehensive applications.
Updated Invalid Date