WizardLM-13B-v1.1
What does it do?
- Text Generation
- Summarization
- Question Answering
- Instruction Following
- Complex Task Execution
How is it used?
- Integrate via Hugging Face API for text generation tasks.
- 1. Download w/ Hugging Face
- 2. Use Python API
- 3. Access thru Text-Generation-WebUI
- 4. Integrate w/ GitHub
Who is it good for?
- AI Researchers
- Software Developers
- Chatbot Creators
- Language Model Enthusiasts
- Content Generators
What does it cost?
- Pricing model : Unknown
Details & Features
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Made By
Microsoft -
Released On
2022-10-24
WizardLM-13B-V1.1 is an advanced large language model designed to understand and execute complex instructions. This AI-powered software excels in tasks such as text generation, summarization, and question answering, making it a versatile tool for developers, researchers, and organizations seeking to integrate sophisticated language processing capabilities into their applications.
Key features:
- High-Quality Instruction Following: Trained with 1,000 high-quality evolved data points to excel in understanding and executing complex instructions.
- Performance Benchmarks: Achieves scores comparable to or exceeding OpenAI's ChatGPT in various benchmarks, including MT-Bench (6.74), AlpacaEval (86.32%), and WizardLM Eval (99.3%).
- Quantization Options: Available in multiple quantized formats (e.g., 4-bit, 8-bit) to optimize for different hardware configurations.
- Versatile Use Cases: Suitable for tasks such as text generation, summarization, and question answering.
How it works:
1. Users access the model through platforms like Hugging Face or GitHub.
2. The model can be integrated into applications using Hugging Face Transformers library, Text-Generation-WebUI, or Python API.
3. Users input prompts or instructions.
4. The model processes the input and generates detailed, contextually appropriate responses.
Integrations:
Hugging Face, GitHub, Gradio
Use of AI:
WizardLM-13B-V1.1 leverages generative AI by fine-tuning the LLaMA model with AI-evolved instructions. This approach enhances the model's ability to follow complex instructions and generate high-quality responses. The fine-tuning process involves the Evol-Instruct Method, which rewrites initial instructions step-by-step into more complex forms, creating a diverse and challenging dataset.
AI foundation model:
The model is based on the LLaMA architecture and has been fine-tuned using a unique dataset of high-quality evolved instructions.
Target users:
- AI researchers
- Developers
- Organizations seeking advanced language understanding and generation capabilities
How to access:
The model is available as a web app, API, and through various quantized formats for different hardware setups. Users can access it through Hugging Face, GitHub, or by integrating it into their applications using provided code examples.
Open Source Status:
WizardLM-13B-V1.1 is not open source but is available for non-commercial use, allowing a wide range of users to benefit from its capabilities while adhering to licensing terms.
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Supported ecosystemsMicrosoft, Hugging Face, Hugging Face, GitHub
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What does it do?Text Generation, Summarization, Question Answering, Instruction Following, Complex Task Execution
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Who is it good for?AI Researchers, Software Developers, Chatbot Creators, Language Model Enthusiasts, Content Generators
PRICING
Visit site| Pricing model: Unknown |
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