What are the hardware requirements for Orca Dolly 3B?

Orca Dolly 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 Dolly 3B and how large is it?

Orca Dolly 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 Dolly 3B?

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

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

Name: Orca Dolly 3B
Author: pankajmathur

Orca Dolly 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/dolly-v2 orca En Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_dolly_3b

Orca Dolly 3B Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

Research, Educational

Limitations:

Can produce factually incorrect information

Additional Notes

The model was trained on public datasets and might generate biased or offensive outputs. The license does not provide legal advice.

Supported Languages

en (high)

Training Details

Data Sources:

Dolly-V2, Orca Research Paper

Data Volume:

15K instructions

Methodology:

Fine-tuning with instruction-following

Context Length:

1024

Training Time:

6 hours

Hardware Used:

1x A100 (80G) GPU

Model Architecture:

Explain tuned

Input Output

Input Format:

System + User prompt

Accepted Modalities:

text

Output Format:

Generated text in response to prompts

LLM Name	Orca Dolly 3b
Repository 🤗	https://huggingface.co/pankajmathur/orca_dolly_3b
Model Size	3b
Required VRAM	13.7 GB
Updated	2026-07-26
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 Dolly 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 Dolly 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	14	1
Nanbeige4.1 3B Heretic	256K / 7.9 GB	14	0
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_dolly_3b.