What are the hardware requirements for LawVinaLlama?

LawVinaLlama requires approximately 13.8 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 LawVinaLlama and how large is it?

LawVinaLlama is developed by NaverHustQA, 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 LawVinaLlama?

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

LawVinaLlama by NaverHustQA — VRAM 13.8GB, 4K context

Name: LawVinaLlama
Author: NaverHustQA

LawVinaLlama is an open-source language model by NaverHustQA. Features: 7b LLM, VRAM: 13.8GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.11.

Autotrain compatible Base model:finetune:vilm/vinal... Base model:vilm/vinallama-7b En Endpoints compatible Llama Region:us Retrieval-augmented-generation Safetensors Sft Sharded Tensorflow Trl Unsloth Vi

Model Card on HF 🤗: https://huggingface.co/NaverHustQA/LawVinaLlama

LawVinaLlama Parameters and Internals

LLM Name	LawVinaLlama
Repository 🤗	https://huggingface.co/NaverHustQA/LawVinaLlama
Base Model(s)	Vinallama 7B vilm/vinallama-7b
Model Size	7b
Required VRAM	13.8 GB
Updated	2025-03-27
Maintainer	NaverHustQA
Model Type	llama
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.8 GB: 3-of-3
Supported Languages	en vi
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	46303
Torch Data Type	bfloat16

Rank the LawVinaLlama 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 LawVinaLlama

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 NaverHustQA/LawVinaLlama.