What are the hardware requirements for Orca Mini V5 8B Orpo?

Orca Mini V5 8B Orpo requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Orca Mini V5 8B Orpo and how large is it?

Orca Mini V5 8B Orpo is developed by pankajmathur, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Orca Mini V5 8B Orpo perform on standard benchmarks?

Orca Mini V5 8B Orpo has the following published scores: MMLU 64.67. Compare against reference models on this page or on the LLM Explorer leaderboards.

Orca Mini V5 8B Orpo by pankajmathur — VRAM 16.1GB, 8K context

Name: Orca Mini V5 8B Orpo
Author: pankajmathur

Orca Mini V5 8B Orpo is an open-source language model by pankajmathur. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.18, Arc: 57.1, HellaSwag: 79.9, MMLU: 64.7, GSM8K: 66.

Conversational En Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_v5_8b_orpo

Orca Mini V5 8B Orpo Parameters and Internals

Model Type

text2text-generation

Use Cases

Areas:

research, commercial applications

Additional Notes

This version is designed to be a comprehensive general model.

Supported Languages

en (fluent)

Training Details

Data Sources:

various ORPO Datasets

Input Output

Input Format:

ChatML prompt format

Accepted Modalities:

text

Output Format:

generated text

LLM Name	Orca Mini V5 8b Orpo
Repository 🤗	https://huggingface.co/pankajmathur/orca_mini_v5_8b_orpo
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-25
Maintainer	pankajmathur
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4 5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128258
Torch Data Type	bfloat16

Rank the Orca Mini V5 8B Orpo 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 Orca Mini V5 8B Orpo

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_v5_8b_orpo.