What are the hardware requirements for Phi 1?

Phi 1 requires approximately 2.8 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 1 and how large is it?

Phi 1 is developed by microsoft, a model with 1.4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Phi 1 perform on standard benchmarks?

Phi 1 has the following published scores: HumanEval (Python) 51.22. Compare against reference models on this page or on the LLM Explorer leaderboards.

Phi 1 by microsoft — VRAM 2.8GB, 2K context

Name: Phi 1
Rating: 1 (2 reviews)
Author: microsoft

Phi 1 is an open-source language model by microsoft. Features: 1.4b LLM, VRAM: 2.8GB, Context: 2K, License: mit, LLM Explorer Score: 0.14, HumanEval: 51.2.

Arxiv:2306.11644 Code Deploy:azure En Endpoints compatible Phi Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/microsoft/phi-1

Phi 1 Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

research, not suitable for production coding tasks

Applications:

basic Python coding

Primary Use Cases:

code generation, coding assistance

Limitations:

limited to training data packages, may replicate scripts, can generate inaccurate code, unreliable with non-code formats, limited natural language comprehension

Additional Notes

Security risks include directory traversal, injection attacks, misunderstanding requirements, lack of input validation, insecure defaults, and failure in error handling.

Supported Languages

en (high)

Training Details

Data Sources:

The Stack v1.2, StackOverflow, code_contests, synthetic Python textbooks and exercises

Data Volume:

54B tokens (7B unique tokens)

Training Time:

6 days

Hardware Used:

8 A100 GPUs

Model Architecture:

Transformer-based model with next-word prediction objective

Input Output

Input Format:

Python code format with comments for generation

Accepted Modalities:

code

Output Format:

Python code

Performance Tips:

Users should manually verify all API uses if using packages other than the ones included in training set.

LLM Name	Phi 1
Repository 🤗	https://huggingface.co/microsoft/phi-1
Model Size	1.4b
Required VRAM	2.8 GB
Updated	2026-07-16
Maintainer	microsoft
Model Type	phi
Model Files	2.8 GB
Supported Languages	en
Model Architecture	PhiForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.37.0
Tokenizer Class	CodeGenTokenizer
Vocabulary Size	51200
Torch Data Type	float32

Rank the Phi 1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Phi 1 5	2K / 2.8 GB	58241	1361
Phi 1 5 Instruct V0.1	2K / 2.8 GB	33	2
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...1 5 FULL Arithmetic Curriculum	2K / 0 GB	8	0
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Phibode 1 5 Ultraalpaca	2K / 5.7 GB	2	3
...i 1 5 Hinglish Text Pretrained	2K / 5.7 GB	6	0
Phi Sentiment Analysis Model	2K / 2.8 GB	4	1

Note: green Score (e.g. "73.2") means that the model is better than microsoft/phi-1.