ingu627/phi-4-mini-instruct-q4

ingu627/ phi-4-mini-instruct-q4

292 Downloads Updated 10 months ago

Phi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high-quality, reasoning dense data. The model belongs to the Phi-4 model family and supports 128K token context length.

ollama run ingu627/phi-4-mini-instruct-q4

curl http://localhost:11434/api/chat \
  -d '{
    "model": "ingu627/phi-4-mini-instruct-q4",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='ingu627/phi-4-mini-instruct-q4',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'ingu627/phi-4-mini-instruct-q4',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

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Name

1 model

Size

Context

Input

phi-4-mini-instruct-q4:latest

2.5GB · 128K context window · Text · 10 months ago

phi-4-mini-instruct-q4:latest

2.5GB

128K

Text

Readme

Intended Uses

Primary Use Cases

The model is intended for broad multilingual commercial and research use. The model provides uses for general purpose AI systems and applications which require:

Memory/compute constrained environments Latency bound scenarios Strong reasoning (especially math and logic). The model is designed to accelerate research on language and multimodal models, for use as a building block for generative AI powered features.