What are the hardware requirements for Phi Gemma Nlaf V1?

Phi Gemma Nlaf V1 requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi Gemma Nlaf V1 and how large is it?

Phi Gemma Nlaf V1 is developed by azarafrooz, a model with 2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Phi Gemma Nlaf V1 perform on standard benchmarks?

Phi Gemma Nlaf V1 has the following published scores: MMLU 37.58. Compare against reference models on this page or on the LLM Explorer leaderboards.

Phi Gemma Nlaf V1 by azarafrooz — VRAM 0.1GB

Name: Phi Gemma Nlaf V1
Author: azarafrooz

Phi Gemma Nlaf V1 is an open-source language model by azarafrooz. Features: 2b LLM, VRAM: 0.1GB, License: apache-2.0, LLM Explorer Score: 0.15, Arc: 43.9, HellaSwag: 62.7, MMLU: 37.6, GSM8K: 5.8.

Arxiv:1910.09700 Adapter Base model:adapter:google/gemm... Base model:google/gemma-2b-it Finetuned Lora Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/azarafrooz/phi-gemma-nlaf-v1

Phi Gemma Nlaf V1 Parameters and Internals

LLM Name	Phi Gemma Nlaf V1
Repository 🤗	https://huggingface.co/azarafrooz/phi-gemma-nlaf-v1
Base Model(s)	Gemma 2B It google/gemma-2b-it
Model Size	2b
Required VRAM	0.1 GB
Updated	2026-07-26
Maintainer	azarafrooz
Model Files	0.1 GB
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|gate_proj\|k_proj\|up_proj\|down_proj\|o_proj\|q_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Phi Gemma Nlaf V1 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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Gemma 2 2B It Dolly 15K	0K / 0.1 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than azarafrooz/phi-gemma-nlaf-v1.