Microsoft · Phi

Phi-4

Name: Serve Phi-4 on Badgr
Brand: Badgr
Availability: InStock

Phi-4 is a 14B chat and text-generation model available through supported Badgr execution routes.

Last validated or meaningfully updated: 2026-07-27

ChatFine-tunable

Serve Phi-4 now Get help running this

Availability

✓ Badgr AI API

Available through Badgr

✓ Dedicated endpoint

Available through Badgr

✓ Custom GPU deployment

Available through Badgr

Deployment profile

Architecture: Phi3ForCausalLM
Licence: MIT
Minimum VRAM: ~32GB
Context: 16K tokens

Recommended: L40S 48GB. VRAM is an estimate and increases with context, cache, concurrency, and runtime overhead.

Model identity

Languages: en
Updated: 29 days ago
HuggingFace revision: 2db69c1c3e

Popularity and trust

Downloads (last month)

647.2K

Likes

2.3K

Spaces using this model

100

Files and formats

Weight formats

Safetensors

Repository files

Tokenizer

BPE

Chat template

Available

GPU deployment scenarios

Estimated from parameter count and quantisation. Will switch to “Verified by Badgr” once a real run backs a tier.

Testing

L40S 48GB

Short context, low concurrency

Small production

A100 80GB

8K context, 1-4 concurrent requests

Higher throughput

H100 80GB

32K context, continuous batching

Large production

L40S 48GB

Higher concurrency

Estimated — multimodal inputs, long context, and concurrency all increase real VRAM use beyond this estimate.

Also runs well on A100 80GB, H100 80GB. Available in United States, Europe, Asia Pacific.

Serving compatibility

Runtime	Status	Notes
vLLM	Estimated	Used for Badgr dedicated endpoints
Transformers	Declared by source	Basic fallback
llama.cpp	Requires GGUF conversion	No GGUF weights found in repo
SGLang	Unknown	Not evaluated
TensorRT-LLM	Unknown	Conversion may be required
TGI	Unknown	Not evaluated

Call this model through Badgr

curl https://api.aibadgr.com/v1/chat/completions \
  -H "Authorization: Bearer $BADGR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"microsoft/phi-4","messages":[{"role":"user","content":"Hello"}]}'

Ready-to-run Badgr configurations

Quick test

badgr serve microsoft/phi-4 --max-cost 2

Validated dedicated endpoint command

badgr serve microsoft/phi-4 --gpu L40S --max-cost 10

Advanced configuration (defaults to automatic)

Runtime
Quantisation
GPU and GPU count
Context length
Maximum concurrency
Region
Maximum hourly spend
Persistent or capped runtime

Estimated pricing

Provider estimate: cold start

3–6 min

Provider estimate: endpoint cost

$0.86 – $0.99/hr

Idle cost

$0 when stopped

Per-token throughput cost is not shown here: Badgr has not benchmarked this model yet, and this page does not display figures it cannot back with real data.