SOLAR-10.7B-Instruct-v1.0
What does it do?
- Natural Language Processing
- Chatbots
- Virtual Assistants
- Language Understanding
- Language Generation
How is it used?
- Use Python to load model
- tokenize input
- and generate text.
- researchers
- 1. Load model w/ Python interface
Who is it good for?
- AI Researchers
- Chatbot Developers
- Virtual Assistant Creators
- Language Model Enthusiasts
- NLP Application Builders
What does it cost?
- Pricing model : Book Demo / Request Quote
Details & Features
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Made By
Upstage AI -
Released On
2020-10-24
SOLAR-10.7B-Instruct-v1.0 is an advanced large language model (LLM) developed by Upstage, designed to excel in various natural language processing tasks. This AI software demonstrates superior performance in benchmarks such as ARC, MMLU, TruthfulQA, and GSM8K, making it suitable for applications like chatbots and virtual assistants.
Key features:
- Large Parameter Count: 10.7 billion parameters enable handling of complex language tasks with high accuracy.
- Single-Turn Conversation: Fine-tuned for single-turn conversations, suitable for chatbots and virtual assistants.
- Performance Benchmarks: Impressive results in ARC (0.06%), MMLU (0.15%), TruthfulQA (0.28%), and GSM8K (0.70%).
- Licensing: Released under the CC-BY-NC-4.0 license due to the use of non-commercial datasets like Alpaca for fine-tuning.
How it works:
1. Load the model using Python and the Transformers library.
2. Prepare a conversation input using the tokenizer's chat template.
3. Generate a response using the model's generate function.
4. Decode and display the output text.
Integrations:
Hugging Face
Use of AI:
SOLAR-10.7B-Instruct-v1.0 uses generative artificial intelligence to produce human-like text based on input. It is designed to handle a wide range of natural language tasks with high performance.
AI foundation model:
The model is built on a large language model foundation, specifically designed for natural language processing tasks.
Target users:
- Developers
- Researchers
- Businesses requiring advanced natural language processing capabilities
How to access:
The model is available as a web app and API through Hugging Face. It can be integrated into various applications, including web apps, mobile apps, and other software requiring natural language understanding and generation capabilities.
Open Source Status:
The model is not fully open source due to its CC-BY-NC-4.0 license, which restricts commercial use. It is accessible for research and non-commercial purposes.
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Supported ecosystemsHugging Face, Upstage AI
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What does it do?Natural Language Processing, Chatbots, Virtual Assistants, Language Understanding, Language Generation
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Who is it good for?AI Researchers, Chatbot Developers, Virtual Assistant Creators, Language Model Enthusiasts, NLP Application Builders
PRICING
Visit site| Pricing model: Book Demo / Request Quote |