What are the hardware requirements for Llama 2 7B Romanian Qlora?

Llama 2 7B Romanian Qlora requires approximately 4.2 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 Llama 2 7B Romanian Qlora and how large is it?

Llama 2 7B Romanian Qlora is developed by andreidima, 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 Llama 2 7B Romanian Qlora?

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

Llama 2 7B Romanian Qlora by andreidima — VRAM 4.2GB, 4K context

Name: Llama 2 7B Romanian Qlora
Author: andreidima

Llama 2 7B Romanian Qlora is an open-source language model by andreidima. Features: 7b LLM, VRAM: 4.2GB, Context: 4K, LLM Explorer Score: 0.12.

Arxiv:2410.04269 4-bit Bitsandbytes Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/andreidima/Llama-2-7b-Romanian-qlora

Llama 2 7B Romanian Qlora Parameters and Internals

LLM Name	Llama 2 7B Romanian Qlora
Repository 🤗	https://huggingface.co/andreidima/Llama-2-7b-Romanian-qlora
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-05-30
Maintainer	andreidima
Model Type	llama
Model Files	4.2 GB
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 2 7B Romanian Qlora 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

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Note: green Score (e.g. "73.2") means that the model is better than andreidima/Llama-2-7b-Romanian-qlora.