What are the hardware requirements for Phi 3 5 Mini Tictactoe1200?

Phi 3 5 Mini Tictactoe1200 requires approximately 7.6 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 3 5 Mini Tictactoe1200 and how large is it?

Phi 3 5 Mini Tictactoe1200 is developed by ihughes15234, a model with 3.8b parameters. 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 Tictactoe1200?

Phi 3 5 Mini Tictactoe1200 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 Tictactoe1200 by ihughes15234 — VRAM 7.6GB, 128K context

Name: Phi 3 5 Mini Tictactoe1200
Author: ihughes15234

Phi 3 5 Mini Tictactoe1200 is an open-source language model by ihughes15234. Features: 3.8b LLM, VRAM: 7.6GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

Base model:finetune:unsloth/ph... Base model:unsloth/phi-3.5-min... Conversational En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/ihughes15234/phi_3_5_mini_tictactoe1200

Phi 3 5 Mini Tictactoe1200 Parameters and Internals

Model Type

text-generation-inference, transformers

Supported Languages

en (Proficient)

Training Details

Methodology:

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Phi 3 5 Mini Tictactoe1200
Repository 🤗	https://huggingface.co/ihughes15234/phi_3_5_mini_tictactoe1200
Base Model(s)	unsloth/Phi-3.5-mini-instruct unsloth/Phi-3.5-mini-instruct
Model Size	3.8b
Required VRAM	7.6 GB
Updated	2026-07-26
Maintainer	ihughes15234
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.6 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Phi 3 5 Mini Tictactoe1200 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 Phi 3 5 Mini Tictactoe1200

Best Alternatives	Context / RAM	Downloads	Likes
Tara 3.8B	146K / 7.6 GB	10	0
...hi3 Unlearning General Methode	128K / 7.6 GB	355	0
Superthoughts Mini V1.3.8B	128K / 7.6 GB	78	1
Phi 3.5 Mini Instruct	128K / 7.6 GB	3544	50
Phi 3 5 Mini Kp 12k Cfr Sft	128K / 7.6 GB	5	0
...3 Mini 128K Instruct LLaMAfied	128K / 7.6 GB	11	3
Llamaphi 3 128K Instruct	128K / 7.6 GB	9	1
...i 3 Mini 4K Instruct LLaMAfied	4K / 7.6 GB	15	11
Phillama 3.8B V0.1	4K / 7.6 GB	21	10
Phillama 3.8B V1	4K / 7.6 GB	7	5

Note: green Score (e.g. "73.2") means that the model is better than ihughes15234/phi_3_5_mini_tictactoe1200.