What are the hardware requirements for Vilaw Llm DPO V2?

Vilaw Llm DPO V2 requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vilaw Llm DPO V2 and how large is it?

Vilaw Llm DPO V2 is developed by breakdown881, 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 Vilaw Llm DPO V2?

Vilaw Llm DPO V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vilaw Llm DPO V2 by breakdown881 — VRAM 0.2GB

Name: Vilaw Llm DPO V2
Author: breakdown881

Vilaw Llm DPO V2 is an open-source language model by breakdown881. Features: 7b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.27.

4bit Adapter Continual-training Conversational Dataset:duyet/vietnamese-legal... Dataset:hoanghai2110/vietnames... Dataset:ntphuc149/vibidlqa v1 Dataset:thangvip/vietnamese-le... Dpo Finetuned Instruct Legal Legal-reasoning Lora Peft Qlora Quantized Region:us Safetensors Synthetic-data Trl Unsloth Vi Vietnamese

Model Card on HF 🤗: https://huggingface.co/breakdown881/vilaw-llm-dpo-v2

Vilaw Llm DPO V2 Parameters and Internals

LLM Name	Vilaw Llm DPO V2
Repository 🤗	https://huggingface.co/breakdown881/vilaw-llm-dpo-v2
Base Model(s)	unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit
Model Size	7b
Required VRAM	0.2 GB
Updated	2026-09-20
Maintainer	breakdown881
Instruction-Based	Yes
Model Files	0.2 GB
Supported Languages	vi
Quantization Type	4bit
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|q_proj\|k_proj\|o_proj\|v_proj\|down_proj\|up_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	16

Rank the Vilaw Llm DPO V2 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 Vilaw Llm DPO V2

Best Alternatives	Context / RAM	Downloads	Likes
...en2.5 Coder 7B Vietnamese LoRA	0K / 0.3 GB	45	0
Mistral Numericnlg FV	0K / 0.3 GB	6	0
Mistral Wikitable FV	0K / 0.3 GB	6	0
Mistral Charttotext FV	0K / 0.3 GB	5	0
Zephyr 7B Beta Agent Instruct	0K / 0.3 GB	11	1
Falcon 7B Instruct 4bit Lora	0K / 0 GB	0	1
Antcoder Planner 7B	0K / 0.3 GB	37	1
Lemonilia ShoriRP V0.75d	0K / 0.2 GB	8	1
Vilaw Llm DPO	0K / 0.2 GB	17	2
Zduhac Cyber 7B V2	0K / 0 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than breakdown881/vilaw-llm-dpo-v2.