What are the hardware requirements for Orca Mini 7B?

Orca Mini 7B requires approximately 27.1 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Orca Mini 7B and how large is it?

Orca Mini 7B is developed by pankajmathur, a model with 7b 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 Orca Mini 7B?

Orca Mini 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Orca Mini 7B by pankajmathur — VRAM 27.1GB, 2K context

Name: Orca Mini 7B
Author: pankajmathur

Orca Mini 7B is an open-source language model by pankajmathur. Features: 7b LLM, VRAM: 27.1GB, Context: 2K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.09.

Arxiv:2306.02707 Dataset:psmathur/alpaca orca Dataset:psmathur/dolly-v2 orca Dataset:psmathur/wizardlm orca En Endpoints compatible Llama Model-index Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_7b

Orca Mini 7B Parameters and Internals

Model Type

text generation

Additional Notes

The model integrates thought processes from ChatGPT (gpt-3.5-turbo-0301 version).

Training Details

Data Sources:

psmathur/alpaca_orca, psmathur/dolly-v2_orca, psmathur/WizardLM_Orca

Methodology:

Leveraged Orca Research Paper for dataset construction, used DeepSpeed with FSDP, write custom fine-tuning scripts.

Context Length:

1024

Training Time:

7 Hours

Hardware Used:

8x A100(80G) GPUs

Input Output

Input Format:

Prompts including system, user and optionally input information.

Accepted Modalities:

text

Output Format:

Text responses based on the input prompt.

LLM Name	Orca Mini 7b
Repository 🤗	https://huggingface.co/pankajmathur/orca_mini_7b
Model Size	7b
Required VRAM	27.1 GB
Updated	2026-05-30
Maintainer	pankajmathur
Model Type	llama
Model Files	4.8 GB: 1-of-6 4.9 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 2.7 GB: 6-of-6 4.8 GB: 1-of-6 4.9 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 2.7 GB: 6-of-6
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-nc-sa-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.29.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Orca Mini 7B 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

Quantized Models of the Orca Mini 7B

Model	Likes	Downloads	VRAM
Orca Mini V3 7b	40	188	13 GB

Best Alternatives to Orca Mini 7B

Best Alternatives	Context / RAM	Downloads
124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
A6 L	1024K / 16.1 GB	201
M	1024K / 16.1 GB	127
2 Very Sci Fi	1024K / 16.1 GB	317

Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_7b.