What are the hardware requirements for Vinallama 7B?

Vinallama 7B requires approximately 13.7 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 Vinallama 7B and how large is it?

Vinallama 7B is developed by vilm, 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 Vinallama 7B?

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

Vinallama 7B by vilm — VRAM 13.7GB, 4K context

Name: Vinallama 7B
Author: vilm

Vinallama 7B is an open-source language model by vilm. Features: 7b LLM, VRAM: 13.7GB, Context: 4K, License: llama2, LLM Explorer Score: 0.11.

Arxiv:2312.11011 Endpoints compatible Llama Pytorch Region:us Sharded Vi

Model Card on HF 🤗: https://huggingface.co/vilm/vinallama-7b

Vinallama 7B Parameters and Internals

Model Type

LLMs

Supported Languages

vi (state-of-the-art)

LLM Name	Vinallama 7B
Repository 🤗	https://huggingface.co/vilm/vinallama-7b
Model Size	7b
Required VRAM	13.7 GB
Updated	2026-05-17
Maintainer	vilm
Model Type	llama
Model Files	9.9 GB: 1-of-2 3.8 GB: 2-of-2
Supported Languages	vi
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	46303
Torch Data Type	float16

Rank the Vinallama 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 Vinallama 7B

Best Alternatives	Context / RAM	Downloads
124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
A6 L	1024K / 16.1 GB	201
M	1024K / 16.1 GB	127
2 Very Sci Fi	1024K / 16.1 GB	317

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