Yi-34B-Chat is a state-of-the-art language model developed by 01.AI.
It excels in conversational AI, providing human-like responses and impressive performance across various benchmarks.
This model is part of the Yi series, which is known for its robust capabilities in natural language understanding and generation.
Architecture 🏗️
Yi-34B-Chat is built on the advanced transformer-based architecture, similar to Llama, but with unique enhancements tailored by 01.AI.
The model leverages a dense architecture that ensures high performance and efficiency in handling large datasets.
Performance 🏎️
Yi-34B-Chat demonstrates exceptional performance, ranking highly in various benchmarks such as MMLU, CMMLU, BBH, and GSM8k.
It excels in tasks requiring common-sense reasoning, reading comprehension, and conversational abilities. The model has been fine-tuned using Special Fine-Tuning (SFT) techniques to produce responses that closely mimic human conversation styles.
Pricing 💵
Yi-34B-Chat offers competitive pricing that makes it accessible for a wide range of applications.
Token Pricing
- Input Tokens: $3 per million tokens
- Output Tokens: $3 per million tokens
Example Cost Calculation
For an application that processes 500,000 input tokens and generates 200,000 output tokens, the cost would be:
- Input Cost: 0.5 million tokens * $3/million = $1.50
- Output Cost: 0.2 million tokens * $3/million = $0.60
- Total Cost: $2.10
Use Cases 🗂️
Yi-34B-Chat is versatile and can be used in various scenarios, including:
- Customer Support: Providing real-time, accurate responses to customer inquiries.
- Virtual Assistants: Enhancing user interaction with more natural and context-aware conversations.
- Content Creation: Assisting in generating high-quality content for blogs, articles, and social media.
- Education: Supporting educational tools with comprehensive explanations and tutoring capabilities.
Customization
Users can fine-tune Yi-34B-Chat to better suit their specific needs. This customization can enhance the model's performance in targeted areas, ensuring more accurate and relevant outputs.
Comparison 📊
Compared to other models like GPT-4 and Claude, Yi-34B-Chat offers competitive performance at a lower cost.
| Yi-VL-34B Multimodal Version - as of Jan 21, 2024 | ||||||||
|---|---|---|---|---|---|---|---|---|
| MMMU Benchmark | ||||||||
| Reset | Test Overall | Validation Overall | Art & Design | Business | Science | Health & Medicine | Human & Social Sci. | Tech & Eng |
| GPT-4V | 43.7 | 42.5 | 61.0 | 36.3 | 40.9 | 46.8 | 44.2 | 41.5 |
| Qwen-VL-Plus | 36.8 | 39.5 | 61.5 | 23.2 | 32.8 | 40.5 | 43.4 | 33.3 |
| Yi-VL-34B | 36.5 | 36.2 | 62.9 | 19.1 | 31.5 | 42.1 | 42.5 | 34.5 |
| Yi-VL-6B | 35.0 | 35.8 | 58.0 | 19.9 | 32.3 | 39.3 | 40.6 | 32.1 |
| Qwen-VL-Chat | 31.3 | 30.7 | 52.6 | 18.5 | 26.9 | 33.4 | 34.1 | 31.4 |
| InternVL-Chat-ViT-6B-Vicuna-13B | 26.7 | 26.4 | 39.7 | 13.8 | 23.0 | 31.7 | 26.5 | 28.5 |
| CMMMU Benchmark | ||||||||
| Reset | Overall | Art & Design | Business | Science | Health & Medicine | Human & Social Sci. | Tech & Eng | |
| GPT-4V(ision)(Playground) | 55.7 | 65.3 | 64.3 | 48.4 | 63.5 | 76.3 | 41.7 | |
| Yi-VL-34B* | 41.6 | 56.1 | 33.3 | 32.9 | 45.9 | 66.5 | 36.0 | |
| Qwen-VL PLUS* | 40.8 | 59.9 | 34.5 | 32.8 | 43.7 | 65.5 | 32.9 | |
| Marco-VL* | 40.4 | 56.5 | 31.0 | 31.0 | 46.9 | 66.5 | 33.8 | |
| Yi-VL-6B* | 37.8 | 53.4 | 30.3 | 30.0 | 39.3 | 58.5 | 34.1 | |
| InfiMM-Zephyr-7B* | 35.5 | 50.0 | 29.6 | 28.2 | 37.5 | 54.6 | 31.1 | |
It particularly excels in multilingual support and conversational abilities, making it a strong contender in the LLM market.
Conclusion
Yi-34B-Chat is a powerful and cost-effective language model suitable for a variety of applications. Its high performance, combined with competitive pricing and extensive customization options, makes it an excellent choice for developers and businesses looking to leverage advanced AI capabilities.
