What are the hardware requirements for Phi 3.5 Mini Socratic Coding Tutor?

Phi 3.5 Mini Socratic Coding Tutor 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 3.5 Mini Socratic Coding Tutor and how large is it?

Phi 3.5 Mini Socratic Coding Tutor is developed by Kami0867. 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 Phi 3.5 Mini Socratic Coding Tutor?

Phi 3.5 Mini Socratic Coding Tutor is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 3.5 Mini Socratic Coding Tutor by Kami0867 — VRAM 0.1GB

Name: Phi 3.5 Mini Socratic Coding Tutor
Author: Kami0867

Phi 3.5 Mini Socratic Coding Tutor is an open-source language model by Kami0867. Features: LLM, VRAM: 0.1GB, License: mit, Instruction-Based, LLM Explorer Score: 0.29.

Arxiv:2404.14219 Base model:adapter:microsoft/p... Base model:microsoft/phi-3.5-m... Code Conversational Dataset:andreisobo/pact-socrat... En Instruct Lora Pact Peft Region:us Safetensors Sft Socratic-tutoring Trl

Model Card on HF 🤗: https://huggingface.co/Kami0867/Phi-3.5-mini-Socratic-Coding-Tutor

Phi 3.5 Mini Socratic Coding Tutor Parameters and Internals

LLM Name	Phi 3.5 Mini Socratic Coding Tutor
Repository 🤗	https://huggingface.co/Kami0867/Phi-3.5-mini-Socratic-Coding-Tutor
Base Model(s)	microsoft/Phi-3.5-mini-instruct microsoft/Phi-3.5-mini-instruct
Required VRAM	0.1 GB
Updated	2026-11-01
Maintainer	Kami0867
Instruction-Based	Yes
Model Files	0.1 GB
Supported Languages	en
Model Architecture	AutoModel
License	mit
Model Max Length	131072
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|gate_up_proj\|down_proj\|qkv_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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