What are the hardware requirements for Galpaca 30B MiniOrca?

Galpaca 30B MiniOrca requires approximately 59.6 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 Galpaca 30B MiniOrca and how large is it?

Galpaca 30B MiniOrca is developed by KnutJaegersberg, a model with 30b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Galpaca 30B MiniOrca perform on standard benchmarks?

Galpaca 30B MiniOrca has the following published scores: MMLU 43.72. Compare against reference models on this page or on the LLM Explorer leaderboards.

Galpaca 30B MiniOrca by KnutJaegersberg — VRAM 59.6GB, 2K context

Name: Galpaca 30B MiniOrca
Author: KnutJaegersberg

Galpaca 30B MiniOrca is an open-source language model by KnutJaegersberg. Features: 30b LLM, VRAM: 59.6GB, Context: 2K, License: cc-by-nc-4.0, LLM Explorer Score: 0.13, Arc: 48.9, HellaSwag: 57.8, MMLU: 43.7, GSM8K: 1.8.

Dataset:tinypixel/orca-mini Endpoints compatible Galactica Model-index Opt Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/KnutJaegersberg/Galpaca-30b-MiniOrca

Galpaca 30B MiniOrca Parameters and Internals

Model Type

text-generation

Training Details

Data Sources:

TinyPixel/orca-mini

Methodology:

Trained for 2.7 epochs on the 50k shortest records of miniorca dataset with NEFTune.

LLM Name	Galpaca 30B MiniOrca
Repository 🤗	https://huggingface.co/KnutJaegersberg/Galpaca-30b-MiniOrca
Model Size	30b
Required VRAM	59.6 GB
Updated	2026-08-08
Maintainer	KnutJaegersberg
Model Type	opt
Model Files	4.9 GB: 1-of-13 4.9 GB: 2-of-13 4.9 GB: 3-of-13 4.9 GB: 4-of-13 4.9 GB: 5-of-13 4.9 GB: 6-of-13 4.9 GB: 7-of-13 4.9 GB: 8-of-13 4.9 GB: 9-of-13 4.9 GB: 10-of-13 4.9 GB: 11-of-13 4.9 GB: 12-of-13 0.8 GB: 13-of-13
Model Architecture	OPTForCausalLM
License	cc-by-nc-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.35.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	50000
Torch Data Type	float16
Activation Function	gelu

Rank the Galpaca 30B MiniOrca 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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