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

Phi 3 Mini 4K Instruct Orpo V2 requires approximately 14.9 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 Orpo V2 and how large is it?

Phi 3 Mini 4K Instruct Orpo V2 is developed by NickyNicky, 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 Mini 4K Instruct Orpo V2?

Phi 3 Mini 4K Instruct 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 Orpo V2 by NickyNicky — VRAM 14.9GB, 4K context

Name: Phi 3 Mini 4K Instruct Orpo V2
Author: NickyNicky

Phi 3 Mini 4K Instruct Orpo V2 is an open-source language model by NickyNicky. Features: 3.8b LLM, VRAM: 14.9GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.12.

Conversational Dataset:nickynicky/oasst2 orpo... En Endpoints compatible Es Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/NickyNicky/Phi-3-mini-4k-instruct_orpo_V2

Phi 3 Mini 4K Instruct Orpo V2 Parameters and Internals

Additional Notes

Metrics and training details provided. Model trained up to 4096 max sequence length.

Supported Languages

en (proficient), es (proficient)

Training Details

Data Sources:

NickyNicky/oasst2_orpo_mix_tokenizer_phi_3_v1

Context Length:

4096

LLM Name	Phi 3 Mini 4K Instruct Orpo V2
Repository 🤗	https://huggingface.co/NickyNicky/Phi-3-mini-4k-instruct_orpo_V2
Model Size	3.8b
Required VRAM	14.9 GB
Updated	2026-07-29
Maintainer	NickyNicky
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.9 GB: 3-of-3
Supported Languages	en es
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Phi 3 Mini 4K Instruct Orpo V2 capabilities

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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

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Note: green Score (e.g. "73.2") means that the model is better than NickyNicky/Phi-3-mini-4k-instruct_orpo_V2.