What are the hardware requirements for MainPHI3?

MainPHI3 requires approximately 7.6 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MainPHI3 and how large is it?

MainPHI3 is developed by AlvaroFG. 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 MainPHI3?

MainPHI3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MainPHI3 by AlvaroFG — VRAM 7.6GB, 4K context

Name: MainPHI3
Author: AlvaroFG

MainPHI3 is an open-source language model by AlvaroFG. Features: LLM, VRAM: 7.6GB, Context: 4K, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Arxiv:1910.09700 4bit Conversational Endpoints compatible Instruct Mistral Pytorch Quantized Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/AlvaroFG/mainPHI3

MainPHI3 Parameters and Internals

LLM Name	MainPHI3
Repository 🤗	https://huggingface.co/AlvaroFG/mainPHI3
Required VRAM	7.6 GB
Updated	2026-08-25
Maintainer	AlvaroFG
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.6 GB: 2-of-2
Quantization Type	4bit
Model Architecture	MistralForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	float16

Rank the MainPHI3 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

Best Alternatives to MainPHI3

Best Alternatives	Context / RAM	Downloads	Likes
...eZephir Sft Instruct Ead 16bit	32K / 14.4 GB	56	0
... Instruct Unsloth Merged 16bit	4K / 7.6 GB	6	1
... Mini 4K Instruct Bnb 4bit Ita	4K / 7.6 GB	1181	0
... Mini 4K Instruct Bnb 4bit Ita	4K / 7.6 GB	1527	0
...ini New Model With Lora Merged	4K / 7.6 GB	16	0
Phired	4K / 7.6 GB	12	0
Phi 3 Mini Hospital Topic 50	4K / 7.6 GB	34	0
Phi3 History V2	4K / 7.6 GB	23	0
Model	4K / 7.6 GB	5	0
Model	4K / 7.6 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than AlvaroFG/mainPHI3.