What are the hardware requirements for Orca Mini V3 7B?

Orca Mini V3 7B requires approximately 13.5 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 7B and how large is it?

Orca Mini V3 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.

How does Orca Mini V3 7B perform on standard benchmarks?

Orca Mini V3 7B has the following published scores: MMLU 52.37. Compare against reference models on this page or on the LLM Explorer leaderboards.

Orca Mini V3 7B by pankajmathur — VRAM 13.5GB, 4K context

Name: Orca Mini V3 7B
Author: pankajmathur

Orca Mini V3 7B is an open-source language model by pankajmathur. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.15, Arc: 56.9, HellaSwag: 79.6, MMLU: 52.4, GSM8K: 7.1.

Arxiv:2302.13971 Arxiv:2306.02707 Dataset:ehartford/dolphin Dataset:psmathur/orca mini v1 ... 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_7b

Orca Mini V3 7B Parameters and Internals

Model Type

text-generation

Additional Notes

While the model aims for accuracy, it can occasionally produce inaccurate, misleading, or biased content. Users should exercise caution and cross-check information when necessary.

LLM Name	Orca Mini V3 7b
Repository 🤗	https://huggingface.co/pankajmathur/orca_mini_v3_7b
Base Model(s)	Orca Mini 7b pankajmathur/orca_mini_7b
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-07-21
Maintainer	pankajmathur
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2 10.0 GB: 1-of-2 3.5 GB: 2-of-2
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 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

Best Alternatives to Orca Mini V3 7B

Best Alternatives	Context / RAM	Downloads	Likes
Smaugv0.1 6.0bpw H6 EXL2	195K / 26.4 GB	1	4
Smaugv0.1 5.0bpw H6 EXL2	195K / 22.3 GB	3	3
Smaugv0.1 4.65bpw H6 EXL2	195K / 20.8 GB	5	1
Smaugv0.1 4.0bpw H6 EXL2	195K / 18 GB	4	1
Smaugv0.1 8.0bpw H8 EXL2	195K / 34.9 GB	4	1
Smaugv0.1 3.0bpw H6 EXL2	195K / 13.9 GB	0	1
DeepSeek Prover V2 7B 4bit	64K / 3.9 GB	236	4
Mistral 7B Openplatypus 1K	32K / 29 GB	1814	0
Mistral 7B OpenOrca 1K	32K / 29 GB	1811	3
...rnlm2 20B Llama 4.0bpw H6 EXL2	32K / 11 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_v3_7b.