What are the hardware requirements for Vietcuna 7B V3 AWQ?

Vietcuna 7B V3 AWQ requires approximately 7.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Vietcuna 7B V3 AWQ is developed by phatjk, 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 AWQ?

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

Vietcuna 7B V3 AWQ by phatjk — VRAM 7.2GB

Name: Vietcuna 7B V3 AWQ
Author: phatjk

Vietcuna 7B V3 AWQ is an open-source language model by phatjk. Features: 7b LLM, VRAM: 7.2GB, Quantized, LLM Explorer Score: 0.1.

4-bit Awq Bloom Endpoints compatible Quantized Region:us Safetensors

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

Vietcuna 7B V3 AWQ Parameters and Internals

Model Type

text-generation

Release Notes

Version:

GEMM

Notes:

The model makes use of zero_point and quantization settings with a q_group_size of 128 and w_bit of 4.

LLM Name	Vietcuna 7B V3 AWQ
Repository 🤗	https://huggingface.co/phatjk/vietcuna-7b-v3-AWQ
Base Model(s)	Vietcuna 7B V3 vilm/vietcuna-7b-v3
Model Size	7b
Required VRAM	7.2 GB
Updated	2026-07-27
Maintainer	phatjk
Model Type	bloom
Model Files	7.2 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	BloomForCausalLM
Transformers Version	4.35.2
Tokenizer Class	BloomTokenizer
Padding Token	<pad>
Vocabulary Size	250880
Torch Data Type	float16

Rank the Vietcuna 7B V3 AWQ 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 Vietcuna 7B V3 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Vietcuna 7B V3 AWQ	0K / 7.2 GB	6	0
Tigerbot 7B Sft V1 4bit	0K / 5.2 GB	5	6
Phoenix Inst Chat 7B Int4	2K / 5.2 GB	9	6
...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	5	0
...lama 2 7B Chat Hf Text Teacher	0K / 2.2 GB	5	0
Yayi 7B	0K / 28.2 GB	117	30
Gogpt 7B Bloom	0K / 32.3 GB	127	3
Phoenix Inst Chat 7B	0K / 16.2 GB	61	43

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