What are the hardware requirements for Tofu Ft Phi 1.5?

Tofu Ft Phi 1.5 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 Tofu Ft Phi 1.5 and how large is it?

Tofu Ft Phi 1.5 is developed by locuslab, 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 Tofu Ft Phi 1.5?

Tofu Ft Phi 1.5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tofu Ft Phi 1.5 by locuslab — VRAM 2.8GB, 2K context

Name: Tofu Ft Phi 1.5
Author: locuslab

Tofu Ft Phi 1.5 is an open-source language model by locuslab. Features: 1.4b LLM, VRAM: 2.8GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.12.

Arxiv:2401.06121 Custom code Endpoints compatible Phi Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/locuslab/tofu_ft_phi-1.5

Tofu Ft Phi 1.5 Parameters and Internals

Model Type

privacy-preserving machine learning, regulatory compliance, knowledge retention

Additional Notes

Phi-1.5 is fine-tuned on TOFU dataset for data unlearning capabilities.

Training Details

Data Sources:

TOFU dataset

Methodology:

Task-specific fine-tuning on question-answer pairs for unlearning performance.

LLM Name	Tofu Ft Phi 1.5
Repository 🤗	https://huggingface.co/locuslab/tofu_ft_phi-1.5
Model Size	1.4b
Required VRAM	2.8 GB
Updated	2026-08-08
Maintainer	locuslab
Model Type	phi
Model Files	2.8 GB 0.0 GB
Model Architecture	PhiForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.37.2
Vocabulary Size	51200
Torch Data Type	bfloat16

Rank the Tofu Ft Phi 1.5 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 locuslab/tofu_ft_phi-1.5.