Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
snorkel-mistral-pairrm— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYsnorkel-mistral-pairrmFireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="snorkel-mistral-pairrm",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)About Fireworks AI
The Fireworks AI Platform is a comprehensive generative AI solution that enables developers and businesses to build, customize, and deploy AI models at scale. It supports a diverse range of cutting-edge open-source models, including Meta's Llama and Stable Diffusion, for tasks such as natural language processing and image generation. The platform's serverless architecture allows for quick deployment without extensive infrastructure management, operating on a pay-as-you-go basis. Users can fine-tune models using parameter-efficient techniques, ensuring tailored AI solutions that maintain high performance for specific business needs. Optimized for high throughput and low latency, the platform can handle trillions of inferences daily while providing a seamless user experience. It offers tools for efficient model maintenance and iteration, allowing businesses to focus on innovation rather than complex AI model management. The platform's design facilitates easy integration and customization, enabling organizations to effectively scale their AI-powered solutions. With its cost-efficient approach and comprehensive features, the Fireworks AI Platform empowers businesses to leverage advanced AI capabilities for enhanced productivity and competitive advantage in their respective markets.
Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment. Their platform is designed to optimize the development and serving of generative AI applications, enabling businesses to quickly build and scale AI-powered solutions. Fireworks.ai emphasizes minimizing the cost to serve while maximizing the potential of generative AI technologies, making advanced AI capabilities more accessible and practical for a wide range of applications.
Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.20 |
Capabilities
No model capability flags are currently sourced.
About Snorkel Mistral PairRM
The Snorkel Mistral PairRM-DPO is a chat-optimized large language model, leveraging the Mistral-7B-Instruct-v0.2 architecture. Designed to interpret and respond efficiently to user inputs, it employs Direct Preference Optimization alongside the Pairwise Reward Model (PairRM) to enhance its alignment with human preferences. Exclusively trained on the UltraFeedback dataset without input from other LLMs, it excels in generating text for conversational contexts, ranking third on the AlpacaEval 2.0 leaderboard at 30.22. Post-processing with PairRM-best-of-16 boosts its score to 34.86. Despite its strengths, the model has limitations, including the absence of moderation features, a possible bias towards longer responses influenced by the evaluation benchmark, and challenges in understanding its complex internal mechanics.