What are the hardware requirements for Orca Alpaca 3B?

Orca Alpaca 3B requires approximately 13.7 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 Alpaca 3B and how large is it?

Orca Alpaca 3B is developed by pankajmathur, a model with 3b 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 Alpaca 3B?

Orca Alpaca 3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Orca Alpaca 3B by pankajmathur — VRAM 13.7GB, 2K context

Name: Orca Alpaca 3B
Author: pankajmathur

Orca Alpaca 3B is an open-source language model by pankajmathur. Features: 3b LLM, VRAM: 13.7GB, Context: 2K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.07.

Arxiv:2306.02707 Dataset:psmathur/alpaca orca Deploy:azure En Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_alpaca_3b

Orca Alpaca 3B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Applications:

text generation

Primary Use Cases:

instruction following, task completion

Limitations:

Limited to the data used in training

Considerations:

Think step-by-step and justify steps during task completion

Additional Notes

I am #opentowork and #collaboration, if you can help, reach out at www.linkedin.com/in/pankajam

Supported Languages

en (native)

Training Details

Data Sources:

Alpaca dataset, Orca Research Paper dataset

Data Volume:

~52K data points

Methodology:

Explain tuned using custom datasets from Orca paper

Context Length:

1024

Training Time:

20 hours

Hardware Used:

4 x A600 (50G) GPUs

Input Output

Input Format:

text strings with system, instruction, and optional input

Accepted Modalities:

text

Output Format:

generated text

Performance Tips:

Consider using better GPUs for improved performance

LLM Name	Orca Alpaca 3b
Repository 🤗	https://huggingface.co/pankajmathur/orca_alpaca_3b
Model Size	3b
Required VRAM	13.7 GB
Updated	2026-08-03
Maintainer	pankajmathur
Model Type	llama
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.7 GB: 3-of-3 5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.7 GB: 3-of-3
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 Alpaca 3B 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 Alpaca 3B

Best Alternatives	Context / RAM	Downloads	Likes
Nanbeige4.1 3B	256K / 7.9 GB	20875	1161
Nanbeige4.1 3B Heretic	256K / 7.9 GB	149	50
Nanbeige4.1 3B Heretic Mxfp4	256K / 7.9 GB	34	2
Nanbeige4.1 3B Bf16	256K / 7.9 GB	47	3
...anbeige4.1 3B Heretic Bfloat16	256K / 7.9 GB	33	1
Nanbeige4.1 3B Heretic	256K / 7.9 GB	18	0
Nanbeige4.1 3B Heretic	256K / 7.9 GB	14	1
ISA 03 Mini 3B Hybrid Preview	256K / 6.5 GB	4	4
ToolMind Web 3B	192K / 7.9 GB	156	28
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368

Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_alpaca_3b.