What are the hardware requirements for Math Phi 1 5 FULL Arithmetic 2K?

Math Phi 1 5 FULL Arithmetic 2K requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Math Phi 1 5 FULL Arithmetic 2K and how large is it?

Math Phi 1 5 FULL Arithmetic 2K is developed by CMU-AIR2, 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.

Where can I download or evaluate Math Phi 1 5 FULL Arithmetic 2K?

Math Phi 1 5 FULL Arithmetic 2K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Math Phi 1 5 FULL Arithmetic 2K by CMU-AIR2 — 2K context

Name: Math Phi 1 5 FULL Arithmetic 2K
Author: CMU-AIR2

Math Phi 1 5 FULL Arithmetic 2K is an open-source language model by CMU-AIR2. Features: 1.4b LLM, Context: 2K, LLM Explorer Score: 0.12.

Arxiv:1910.09700 Endpoints compatible Phi Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/CMU-AIR2/math-phi-1-5-FULL-Arithmetic-2k

Math Phi 1 5 FULL Arithmetic 2K Parameters and Internals

LLM Name	Math Phi 1 5 FULL Arithmetic 2K
Repository 🤗	https://huggingface.co/CMU-AIR2/math-phi-1-5-FULL-Arithmetic-2k
Model Size	1.4b
Required VRAM	0 GB
Updated	2026-08-23
Maintainer	CMU-AIR2
Model Type	phi
Model Files	2.8 GB 5.7 GB 0.0 GB 0.0 GB
Model Architecture	PhiForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.2
Tokenizer Class	CodeGenTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	51200
Torch Data Type	bfloat16

Rank the Math Phi 1 5 FULL Arithmetic 2K 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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Note: green Score (e.g. "73.2") means that the model is better than CMU-AIR2/math-phi-1-5-FULL-Arithmetic-2k.