Phi-3 Mini 4k
About
The Phi-3 Mini-4K-Instruct model by Microsoft is an advanced, lightweight language model boasting 3.8 billion parameters, optimized for environments with limited computational resources. It excels in various natural language processing tasks, especially in reasoning, text generation, and maintaining multi-turn conversations. Trained on a mix of synthetic and high-quality data, the model is tailored for effective instruction-following. Despite its capabilities, it has limitations in factual knowledge and multilingual support, often requiring external resources to enhance accuracy. The model is ideal for commercial and research applications that demand efficient processing, such as mobile apps and real-time systems.
Capabilities
VisionMultimodalReasoningFunction CallingTool UseJSON ModeCode Execution
Providers(4)
Compare all →| Provider | Input (per 1M) | Output (per 1M) | Type | |
|---|---|---|---|---|
| Azure OpenAI | $0.28 | $0.84 | ServerlessProvisioned | |
| NVIDIA NIM | — | — | Provisioned | |
| Baseten API | — | — | Serverless | |
| Replicate API | $0.05 | $0.25 | Serverless |
Benchmark Scores(4)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 40.9 | diamond | Open LLM Leaderboard |
| HellaSwag | 87.1 | 10-shot | Open LLM Leaderboard |
| HumanEval | 59.8 | pass@1 | Open LLM Leaderboard |
| Massive Multitask Language Understanding | 68.2 | 5-shot | Open LLM Leaderboard |
