Fara 7B
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.
api_example.sh
Technical Specifications
Model Architecture & Performance
Pricing
Pay-per-use, no commitments
API Reference
Complete parameter documentation
| Parameter | Type | Default | Description |
|---|---|---|---|
| stream | boolean | true | Enable streaming responses for real-time output. |
| temperature | number | 0.7 | Controls creativity and randomness. Higher values produce more diverse output. |
| max_tokens | number | 4096 | Maximum number of tokens the model can generate. |
| top_p | number | 1 | Nucleus sampling: restricts token selection to a probability mass threshold. |
Explore the full request and response schema in our external API documentation
Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
Runs efficiently on consumer and cloud GPUs Strong instruction-following capability for a 7B model Optimized for low-latency inference Open weights allow on-prem and edge deployment | Lower reasoning capability than larger models Limited long-context performance May require fine-tuning for specialized domain tasks |
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
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