What are the hardware requirements for Llama 30B Instruct 2048 PL Lora?

Llama 30B Instruct 2048 PL Lora requires approximately 65.2 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 Llama 30B Instruct 2048 PL Lora and how large is it?

Llama 30B Instruct 2048 PL Lora is developed by Aspik101, 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 Llama 30B Instruct 2048 PL Lora perform on standard benchmarks?

Llama 30B Instruct 2048 PL Lora has the following published scores: MMLU 61.66. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 30B Instruct 2048 PL Lora by Aspik101 — VRAM 65.2GB, 2K context

Name: Llama 30B Instruct 2048 PL Lora
Author: Aspik101

Llama 30B Instruct 2048 PL Lora is an open-source language model by Aspik101. Features: 30b LLM, VRAM: 65.2GB, Context: 2K, License: other, Instruction-Based, LLM Explorer Score: 0.1, Arc: 63.3, HellaSwag: 84.7, MMLU: 61.7, GSM8K: 16.8.

Dataset:lajonbot/alpaca-dolly-... Endpoints compatible Facebook Instruct Llama Llama2 Lora Meta Pl Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/Aspik101/llama-30b-instruct-2048-PL-lora

Llama 30B Instruct 2048 PL Lora Parameters and Internals

Model Type

llama-2

LLM Name	Llama 30B Instruct 2048 PL Lora
Repository 🤗	https://huggingface.co/Aspik101/llama-30b-instruct-2048-PL-lora
Model Size	30b
Required VRAM	65.2 GB
Updated	2026-08-25
Maintainer	Aspik101
Model Type	llama-2
Instruction-Based	Yes
Model Files	9.8 GB: 1-of-7 10.0 GB: 2-of-7 9.9 GB: 3-of-7 9.9 GB: 4-of-7 9.9 GB: 5-of-7 10.0 GB: 6-of-7 5.7 GB: 7-of-7
Supported Languages	pl
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
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
LoRA Model	Yes
Torch Data Type	float16

Rank the Llama 30B Instruct 2048 PL Lora capabilities

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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 Llama 30B Instruct 2048 PL Lora

Best Alternatives	Context / RAM	Downloads	Likes
Tildeopen 30B Mu Instruct	64K / 60.9 GB	41	6
...ct 2048 Open Platypus 100steps	2K / 65.2 GB	88	0
Llama 30B Instruct 2048	2K / 65.2 GB	374	103
...azarus Instruct PL Lora Unload	2K / 65.2 GB	85	0
Llama 30B Instruct	2K / 65.2 GB	333	24
...B 2048 Instruct PL Lora Unload	2K / 65.2 GB	97	1
Open Instruct Human Mix 30B	2K / 130.5 GB	58	1
H2ogpt Oasst1 512 30B HF	2K / 65 GB	116	2
...pt Research Oig Oasst1 512 30B	2K / 81.1 GB	179	3
Veyra 30M Instruct	1K / 0.1 GB	151	3

Note: green Score (e.g. "73.2") means that the model is better than Aspik101/llama-30b-instruct-2048-PL-lora.