What are the hardware requirements for Phi 3.5 Mini TitanFusion 0.1?

Phi 3.5 Mini TitanFusion 0.1 requires approximately 7.7 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 TitanFusion 0.1 and how large is it?

Phi 3.5 Mini TitanFusion 0.1 is developed by bunnycore, 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 TitanFusion 0.1?

Phi 3.5 Mini TitanFusion 0.1 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 TitanFusion 0.1 by bunnycore — VRAM 7.7GB, 128K context

Name: Phi 3.5 Mini TitanFusion 0.1
Author: bunnycore

Phi 3.5 Mini TitanFusion 0.1 is an open-source language model by bunnycore. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.22.

Merged Model Arxiv:2306.01708 Base model:arliai/phi-3.5-mini... Base model:microsoft/phi-3.5-m... Base model:nbeerbower/phi3.5-g... Conversational Custom code Endpoints compatible Instruct Model-index Phi3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bunnycore/Phi-3.5-mini-TitanFusion-0.1

Phi 3.5 Mini TitanFusion 0.1 Parameters and Internals

Model Type

text-generation

Use Cases

Applications:

Roleplay, Creative Writing, Reasoning

Additional Notes

This is a merged pre-trained language model created using the mergekit. It incorporates the knowledge and capabilities of multiple models using the TIES merge method.

Training Details

Methodology:

TIES merge method

LLM Name	Phi 3.5 Mini TitanFusion 0.1
Repository 🤗	https://huggingface.co/bunnycore/Phi-3.5-mini-TitanFusion-0.1
Base Model(s)	nbeerbower/phi3.5-gutenberg-4B ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1 microsoft/Phi-3.5-mini-instruct nbeerbower/phi3.5-gutenberg-4B ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1 microsoft/Phi-3.5-mini-instruct
Merged Model	Yes
Model Size	3.8b
Required VRAM	7.7 GB
Updated	2026-07-15
Maintainer	bunnycore
Model Type	phi3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.7 GB: 2-of-2
Model Architecture	Phi3ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.1
Tokenizer Class	LlamaTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Phi 3.5 Mini TitanFusion 0.1 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 TitanFusion 0.1

Best Alternatives	Context / RAM	Downloads	Likes
Phi 4 Mini Instruct	128K / 7.7 GB	514603	791
Phi 3.5 Mini Instruct	128K / 7.7 GB	1164079	999
Phi 3 Mini 128K Instruct	128K / 7.7 GB	233663	1700
Phi 3 Mini 128K Instruct	128K / 7.7 GB	7	0
Phi 4 Mini Abliterated	128K / 7.7 GB	33	1
Phi 3 Mini 128K Instruct	128K / 7.7 GB	11	0
Phi 4 Mini Instruct Heretic	128K / 7.7 GB	13	0
NuExtract V1.5	128K / 7.7 GB	108511	89
MediPhi Instruct	128K / 7.7 GB	1671	69
ECE EIFFEL 3Bv2	128K / 7.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Phi-3.5-mini-TitanFusion-0.1.