What are the hardware requirements for Phi Gemma Nlaf V0?

Phi Gemma Nlaf V0 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 V0 and how large is it?

Phi Gemma Nlaf V0 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 V0 perform on standard benchmarks?

Phi Gemma Nlaf V0 has the following published scores: MMLU 37.7. Compare against reference models on this page or on the LLM Explorer leaderboards.

Phi Gemma Nlaf V0 by azarafrooz — VRAM 0.1GB

Name: Phi Gemma Nlaf V0
Author: azarafrooz

Phi Gemma Nlaf V0 is an open-source language model by azarafrooz. Features: 2b LLM, VRAM: 0.1GB, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 44.2, HellaSwag: 62.7, MMLU: 37.7, GSM8K: 5.5.

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-v0

Phi Gemma Nlaf V0 Benchmarks

ARC: 44.2 vs 96.7 (so35)^-54.3%

HellaSwag: 62.73 vs 95.3 (gpt4)^-34.2%

MMLU: 37.7 vs 88.3 (so35)^-57.3%

GSM8K: 5.53 vs 96.4 (so35)^-94.3%

LLME Score: 0.16361

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Phi Gemma Nlaf V0 (azarafrooz/phi-gemma-nlaf-v0)

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Phi Gemma Nlaf V0 Parameters and Internals

LLM Name	Phi Gemma Nlaf V0
Repository 🤗	https://huggingface.co/azarafrooz/phi-gemma-nlaf-v0
Base Model(s)	Gemma 2B It google/gemma-2b-it
Model Size	2b
Required VRAM	0.1 GB
Updated	2025-07-30
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

Best Alternatives to Phi Gemma Nlaf V0

Best Alternatives	Context / RAM	Downloads
Finetuned Gemma3	8K / 5.1 GB	8
Gemma 2 2B It Dolly 15K	0K / 0.1 GB	5
Openhermes 2B Gemma Sft Qlora	0K / 0 GB	7
Phi Gemma Nlaf V1	0K / 0.1 GB	6
Gemma Nlaf V1	0K / 0 GB	5
Gemma 2B Nlaf V0	0K / 0 GB	7
Gemma 2B It Nlai P1	0K / 0 GB	9
Zephyr 2B Gemma Sft Qlora	0K / 0 GB	11
Gemma 2 2B Norobots	0K / 0.1 GB	8
...istilabel Intel Orca DPO Pairs	0K / 0 GB	5

Note: green Score (e.g. "73.2") means that the model is better than azarafrooz/phi-gemma-nlaf-v0.

Rank the Phi Gemma Nlaf V0 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Phi Gemma Nlaf V0 by azarafrooz

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Phi Gemma Nlaf V0 Benchmarks

Phi Gemma Nlaf V0 Parameters and Internals

Best Alternatives to Phi Gemma Nlaf V0

Rank the Phi Gemma Nlaf V0 Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.