Fara 7B

Fara 7B API

Released 20258192 Tokens context7B parameters parameters

Documentation

Fara 7B API enables Lightweight conversational AI, Fast text generation, Educational & tutoring applications, Low-latency reasoning tasks, Code assistance, and Content summarization. Fara 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. Standout strengths include Runs efficiently on consumer and cloud GPUs and Strong instruction-following capability for a 7B model. It is optimized for production agent and assistant workloads where response quality, latency, and predictable operating cost all matter.

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")

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API access

INPUT$0.21 /1M
OUTPUT$0.25 /1M
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Cloud GPU VM

Price starts at$1.25 / GPU/ hr
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Interactive

Playground

INPUT$0.21 /1M
OUTPUT$0.25 /1M
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Docker

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

SDK Libraries

Official SDKs for Python, Javascript, Go, and Java

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