Fara 7B
v1Fara 7B is a compact and efficient transformer model developed by Microsoft for high-speed inference, instruction following, text generation, and lightweight reasoning tasks. Its small parameter size allows easy deployment on consumer GPUs and edge devices while maintaining strong performance.
input tokens
output tokens
Cached $0.21$0.17/1M cached tokens
from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="microsoft/Fara-7B", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=4096, temperature=0.7, top_p=1, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n") Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
Don't let your AI control you. Control your AI the Qubrid way!
Have questions? Want to Partner with us? Looking for larger deployments or custom fine-tuning? Let's collaborate on the right setup for your workloads.
"Qubrid helped us turn a collection of AI scripts into structured production workflows. We now have better reliability, visibility, and control over every run."
AI Infrastructure Team
Automation & Orchestration