What are the hardware requirements for Orca Mini V3 13B?

Orca Mini V3 13B requires approximately 26 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 Orca Mini V3 13B and how large is it?

Orca Mini V3 13B is developed by pankajmathur, a model with 13b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Orca Mini V3 13B perform on standard benchmarks?

Orca Mini V3 13B has the following published scores: MMLU 56.52. Compare against reference models on this page or on the LLM Explorer leaderboards.

Orca Mini V3 13B by pankajmathur — VRAM 26GB, 4K context

Name: Orca Mini V3 13B
Author: pankajmathur

Orca Mini V3 13B is an open-source language model by pankajmathur. Features: 13b LLM, VRAM: 26GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.15, Arc: 63.1, HellaSwag: 82.4, MMLU: 56.5, GSM8K: 13.1.

Arxiv:2306.02707 Dataset:ehartford/dolphin Dataset:psmathur/orca mini v1 ... Deploy:azure En Endpoints compatible Fp16 Llama Model-index Pytorch Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_v3_13b

Orca Mini V3 13B Parameters and Internals

Model Type

text-generation

Use Cases

Limitations:

While this model aims for accuracy, it can occasionally produce inaccurate or misleading results. Despite diligent efforts in refining the pretraining data, there remains a possibility for the generation of inappropriate, biased, or offensive content. Exercise caution and cross-check information when necessary.

Training Details

Data Sources:

psmathur/orca_mini_v1_dataset, ehartford/dolphin

Methodology:

Progressive Learning from Complex Explanation Traces of GPT-4

Input Output

Input Format:

Prompts structured as "### System: <instruction> ### User: <user_input>### Assistant:"

Accepted Modalities:

text

Output Format:

Generated text response

LLM Name	Orca Mini V3 13b
Repository 🤗	https://huggingface.co/pankajmathur/orca_mini_v3_13b
Base Model(s)	Orca Mini 13b pankajmathur/orca_mini_13b
Model Size	13b
Required VRAM	26 GB
Updated	2026-08-01
Maintainer	pankajmathur
Model Type	llama
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3 9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3
Supported Languages	en
Quantization Type	fp16
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.32.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Orca Mini V3 13B 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

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...Llama 13B Instruct Hf 4bit MLX	16K / 7.8 GB	113	3
WhiteRabbitNeo 13B V1 4bit Mlx	16K / 7.8 GB	147	2

Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_v3_13b.