What are the hardware requirements for Vietcuna 7B V3?

Vietcuna 7B V3 requires approximately 14.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vietcuna 7B V3 and how large is it?

Vietcuna 7B V3 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 Vietcuna 7B V3?

Vietcuna 7B V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vietcuna 7B V3 by vilm — VRAM 14.2GB

Name: Vietcuna 7B V3
Author: vilm

Vietcuna 7B V3 is an open-source language model by vilm. Features: 7b LLM, VRAM: 14.2GB, LLM Explorer Score: 0.08.

Bloom Dataset:vilm/openorca-viet Endpoints compatible Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/vilm/vietcuna-7b-v3

Vietcuna 7B V3 Benchmarks

LLME Score: 0.08428

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Vietcuna 7B V3 Parameters and Internals

Model Type

text generation

Training Details

Data Sources:

vilm/OpenOrca-Viet

Input Output

Input Format:

A conversation between a curious user and an AI assistant. The assistant provides useful, detailed, and polite answers to the user's questions.

LLM Name	Vietcuna 7B V3
Repository 🤗	https://huggingface.co/vilm/vietcuna-7b-v3
Model Size	7b
Required VRAM	14.2 GB
Updated	2026-04-03
Maintainer	vilm
Model Type	bloom
Model Files	10.0 GB: 1-of-2 4.2 GB: 2-of-2 10.0 GB: 1-of-2 4.2 GB: 2-of-2
Model Architecture	BloomForCausalLM
Transformers Version	4.31.0
Vocabulary Size	250880
Torch Data Type	bfloat16

Quantized Models of the Vietcuna 7B V3

Model	Likes	Downloads	VRAM
Vietcuna 7B V3 AWQ	0	6	7 GB
Vietcuna 7B V3 AWQ	0	12	7 GB

Best Alternatives to Vietcuna 7B V3

Best Alternatives	Context / RAM	Downloads	Likes
Yayi 7B	0K / 28.2 GB	965	30
Gogpt 7B Bloom	0K / 32.3 GB	825	3
...tral 7B Instruct V0.2 Uld Loss	0K / 2.2 GB	14	0
... 7B Instruct V0.2 Text Teacher	0K / 2.2 GB	13	0
...Qa Llama 2 7B Chat Hf Uld Loss	0K / 2.2 GB	6	0
...lama 2 7B Chat Hf Text Teacher	0K / 2.2 GB	5	0
Phoenix Inst Chat 7B	0K / 16.2 GB	848	43
Vietcuna 7B 2k5	0K / 14.2 GB	16	0
Bloom Xp3	0K / 32.4 GB	5	0
Tigerbot 7B Sft V2	0K / 14.2 GB	668	8

Note: green Score (e.g. "73.2") means that the model is better than vilm/vietcuna-7b-v3.

Rank the Vietcuna 7B V3 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Vietcuna 7B V3 by vilm