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AI models
microsoft

phi-2

AI model Released

Context window
2,048 tokens
Total parameters
2.78 B
Open weights
Yes

Capability & preference

General capability · ECI

A cross-benchmark capability estimate. Index points, not a percentage; intervals show uncertainty.

phi-2 107.9* Phi-2 · 95% interval 88.8–113.7

Run it locally

Inference · memory estimate

phi-2

2.78 B total parameters · phi · F16

Published checkpoint tensor payload: 5.2 GiB. This includes stored copies and buffers; it is separate from the runtime estimates below.

Estimated accelerator memory3.0 GiB
Weights
1.4 GiB
KV cache
0.6 GiB
Runtime allowance
1.0 GiB

One user, full model in accelerator memory.

GPUs with memory headroom

Local AI systems with memory headroom

Shared-memory systems use a planning budget of 75% of installed memory, leaving 25% for the OS and other allocations. This is an assumption, not a measured GPU allocation. Firmware and driver limits may be lower and may require configuration. Memory matches do not verify a runtime, quantized model artifact or inference speed.

Includes FP16 KV cache, prompt plus generated tokens, quantization metadata and a runtime allowance. GPU matches reserve 10% of VRAM. Memory fit is not a speed or software-compatibility guarantee; quantized weights and runtime support must be available.

Capabilities

Context window
2,048 tokens
Open weights
Yes
Model license
mit
Total parameters
2.78 B
Checkpoint tensor payload
5.18 GiB

Input modalities

  • text

Output modalities

  • text

Processing & platform

Architecture
phi

* Provisional data