What are the hardware requirements for Phi 3 Mini 4K Instruct Ita Orpo V2?

Phi 3 Mini 4K Instruct Ita Orpo V2 requires approximately 2.3 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 Phi 3 Mini 4K Instruct Ita Orpo V2 and how large is it?

Phi 3 Mini 4K Instruct Ita Orpo V2 is developed by diegobit, a model with 3.9b 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 Mini 4K Instruct Ita Orpo V2?

Phi 3 Mini 4K Instruct Ita Orpo V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 3 Mini 4K Instruct Ita Orpo V2 by diegobit — VRAM 2.3GB, 4K context

Name: Phi 3 Mini 4K Instruct Ita Orpo V2
Author: diegobit

Phi 3 Mini 4K Instruct Ita Orpo V2 is an open-source language model by diegobit. Features: 3.9b LLM, VRAM: 2.3GB, Context: 4K, License: mit, Instruction-Based, LLM Explorer Score: 0.13.

4-bit Bitsandbytes Conversational Dataset:efederici/alpaca-vs-al... Endpoints compatible Instruct Mistral Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/diegobit/Phi-3-mini-4k-instruct-ita-orpo-v2

Phi 3 Mini 4K Instruct Ita Orpo V2 Parameters and Internals

Supported Languages

italian (NLP primary language)

Training Details

Data Sources:

efederici/alpaca-vs-alpaca-orpo-dpo

Training Time:

7h on an A100-40GB

Hardware Used:

A100-40GB

LLM Name	Phi 3 Mini 4K Instruct Ita Orpo V2
Repository 🤗	https://huggingface.co/diegobit/Phi-3-mini-4k-instruct-ita-orpo-v2
Model Size	3.9b
Required VRAM	2.3 GB
Updated	2026-07-22
Maintainer	diegobit
Model Type	mistral
Instruction-Based	Yes
Model Files	2.3 GB
Model Architecture	MistralForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Phi 3 Mini 4K Instruct Ita Orpo V2 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 Mini 4K Instruct Ita Orpo V2

Best Alternatives	Context / RAM	Downloads	Likes
...Spydaz Web AI ChatQA 002 4 BIT	512K / 4.1 GB	24	0
Spydaz Web AI 02 4 BIT	32K / 4.1 GB	28	0
...pydaz Web AI ChatQA BASE 4 BIT	32K / 4.1 GB	18	0
...hi 3 Mini 4K Instruct Bnb 4bit	4K / 2.3 GB	16973	46
...3 Mini 4K Instruct V0 Bnb 4bit	4K / 2.3 GB	13	3
Phi 4K Gsm8k	4K / 2.3 GB	10	0
Phi 3 Autocomplete Search	4K / 2.3 GB	5	0
Small Mistral 1	4K / 2.3 GB	5	0
Hf	4K / 2.3 GB	12	0
MediChat Medium	4K / 2.3 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than diegobit/Phi-3-mini-4k-instruct-ita-orpo-v2.