What are the hardware requirements for Phi3AdapterModel?

Phi3AdapterModel requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi3AdapterModel and how large is it?

Phi3AdapterModel is developed by Frinkles. 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 Phi3AdapterModel?

Phi3AdapterModel is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi3AdapterModel by Frinkles — VRAM 0.1GB

Name: Phi3AdapterModel
Author: Frinkles

Phi3AdapterModel is an open-source language model by Frinkles. Features: LLM, VRAM: 0.1GB, Instruction-Based, LLM Explorer Score: 0.14.

Arxiv:1910.09700 Adapter Base model:adapter:microsoft/p... Base model:microsoft/phi-3-min... Finetuned Instruct Lora Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Frinkles/Phi3AdapterModel

Phi3AdapterModel Benchmarks

LLME Score: 0.13723

^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)

Phi3AdapterModel (Frinkles/Phi3AdapterModel)

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Phi3AdapterModel Parameters and Internals

LLM Name	Phi3AdapterModel
Repository 🤗	https://huggingface.co/Frinkles/Phi3AdapterModel
Base Model(s)	Phi 3 Mini 4K Instruct microsoft/Phi-3-mini-4k-instruct
Required VRAM	0.1 GB
Updated	2026-04-21
Maintainer	Frinkles
Instruction-Based	Yes
Model Files	0.1 GB 0.0 GB
Model Architecture	Adapter
Model Max Length	2048
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|qkv_proj\|down_proj\|gate_up_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Quantized Models of the Phi3AdapterModel

Model	Likes	Downloads	VRAM
Phi 3 Mini 4K Instruct GGUF	17	1554	1 GB

Best Alternatives to Phi3AdapterModel

Best Alternatives	Context / RAM	Downloads	Likes
Phi 3 Mini 4K Instruct Sa V0.1	0K / 0 GB	6	0
...caaaf043da230d9a30d8e0ddcbe879	0K / 0.4 GB	11	0
...357cade9cc1096cecc35c34dba8992	0K / 1.3 GB	10	0
...ini Instruct MedicalChat QLoRA	0K / 0.1 GB	0	2
...mall Physics Finetuned Adapter	0K / 0.1 GB	1	1
Mistral Small Dampf Qlora	0K / 0.8 GB	8	0
Mistral Small Fujin Qlora	0K / 0.8 GB	6	2
Test	0K / 0 GB	5	0
Vfgf	0K / 0 GB	5	0
Results	0K / 0 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than Frinkles/Phi3AdapterModel.

Rank the Phi3AdapterModel 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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Phi3AdapterModel by Frinkles