What are the hardware requirements for Alpagasus 2 7B?

Alpagasus 2 7B requires approximately 13.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Alpagasus 2 7B and how large is it?

Alpagasus 2 7B is developed by mlabonne, 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 Alpagasus 2 7B?

Alpagasus 2 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Alpagasus 2 7B by mlabonne — VRAM 13.5GB

Name: Alpagasus 2 7B
Author: mlabonne

Alpagasus 2 7B is an open-source language model by mlabonne. Features: 7b LLM, VRAM: 13.5GB, LLM Explorer Score: 0.08.

Arxiv:2307.08701 Alpaca Alpagasus Dataset:mlabonne/alpagasus En Endpoints compatible Llama Lora Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlabonne/alpagasus-2-7b

Alpagasus 2 7B Parameters and Internals

Model Type

text generation

Additional Notes

Fine-tuned on a high-quality subset (9k samples) of the Alpaca dataset (52k samples).

Supported Languages

en (high proficiency)

Training Details

Data Sources:

mlabonne/alpagasus

Methodology:

fine-tuned using QLoRA (4-bit precision)

Context Length:

512

Hardware Used:

RTX 3090

Input Output

Input Format:

Prompts structured as instructions with a '### Instruction:' label

Accepted Modalities:

text

Output Format:

Generated text following the instruction

LLM Name	Alpagasus 2 7B
Repository 🤗	https://huggingface.co/mlabonne/alpagasus-2-7b
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-07-30
Maintainer	mlabonne
Model Files	0.0 GB 10.0 GB: 1-of-2 3.5 GB: 2-of-2 10.0 GB: 1-of-2 3.5 GB: 2-of-2 0.0 GB
Supported Languages	en
Model Architecture	AutoModelForCausalLM
Is Biased	none
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	16
LoRA Dropout	0.1
R Param	8

Rank the Alpagasus 2 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 Alpagasus 2 7B

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B V0.3	32K / 14.5 GB	1366	5
Mistral 7B Instruct V0.3	32K / 14.5 GB	91	6
...unoichi Lemon Royale V3 32K 7B	32K / 14.5 GB	11	5
Mistral 7B Instruct V0.3	32K / 14.5 GB	1122	3
Mistralai Mistral 7B V0.3	32K / 14.5 GB	6	3
...ralai Mistral 7B Instruct V0.3	32K / 14.5 GB	6	3
Mistral 7B Instruct V0.3	32K / 14.5 GB	6	0
Mistral 7B V0.2	32K / 14.5 GB	66	1
Full V4 Astromistral Final	32K / 4.5 GB	6	1
LlamaGuard 7B	4K / 13.5 GB	4681	245

Note: green Score (e.g. "73.2") means that the model is better than mlabonne/alpagasus-2-7b.