What are the hardware requirements for Qwen2.5 Coder 7B Vietnamese LoRA?

Qwen2.5 Coder 7B Vietnamese LoRA requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 Coder 7B Vietnamese LoRA and how large is it?

Qwen2.5 Coder 7B Vietnamese LoRA is developed by khoin68, 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 Qwen2.5 Coder 7B Vietnamese LoRA?

Qwen2.5 Coder 7B Vietnamese LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Coder 7B Vietnamese LoRA by khoin68 — VRAM 0.3GB

Name: Qwen2.5 Coder 7B Vietnamese LoRA
Author: khoin68

Qwen2.5 Coder 7B Vietnamese LoRA is an open-source language model by khoin68. Features: 7b LLM, VRAM: 0.3GB, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.26.

4bit Adapter Base model:adapter:unsloth/qwe... Base model:unsloth/qwen2.5-cod... Code Codegen Conversational En Finetuned Instruct Lora Peft Qlora Quantized Qwen Qwen2.5-coder Region:us Safetensors Unsloth Vi Vietnamese

Model Card on HF 🤗: https://huggingface.co/khoin68/Qwen2.5-Coder-7B-Vietnamese-LoRA

Qwen2.5 Coder 7B Vietnamese LoRA Parameters and Internals

LLM Name	Qwen2.5 Coder 7B Vietnamese LoRA
Repository 🤗	https://huggingface.co/khoin68/Qwen2.5-Coder-7B-Vietnamese-LoRA
Base Model(s)	unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit
Model Size	7b
Required VRAM	0.3 GB
Updated	2026-09-09
Maintainer	khoin68
Instruction-Based	Yes
Model Files	0.3 GB
Supported Languages	vi en
Quantization Type	4bit
Generates Code	Yes
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|k_proj\|v_proj\|q_proj\|up_proj\|o_proj\|gate_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	32

Rank the Qwen2.5 Coder 7B Vietnamese LoRA capabilities

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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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