What are the hardware requirements for Qwen2.5 0.5B Base Qa Finetune V3?

Qwen2.5 0.5B Base Qa Finetune V3 requires approximately 1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 0.5B Base Qa Finetune V3 and how large is it?

Qwen2.5 0.5B Base Qa Finetune V3 is developed by minhtuan7akp, a model with 0.5b 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 0.5B Base Qa Finetune V3?

Qwen2.5 0.5B Base Qa Finetune V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 0.5B Base Qa Finetune V3 by minhtuan7akp — VRAM 1GB, 32K context

Name: Qwen2.5 0.5B Base Qa Finetune V3
Author: minhtuan7akp

Qwen2.5 0.5B Base Qa Finetune V3 is an open-source language model by minhtuan7akp. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Fine-Tuned, LLM Explorer Score: 0.18.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-0.5... En Endpoints compatible Finetuned Qwen2 Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/minhtuan7akp/qwen2.5_0.5b_base_qa_finetune_v3

Qwen2.5 0.5B Base Qa Finetune V3 Parameters and Internals

LLM Name	Qwen2.5 0.5b Base Qa Finetune V3
Repository 🤗	https://huggingface.co/minhtuan7akp/qwen2.5_0.5b_base_qa_finetune_v3
Base Model(s)	unsloth/Qwen2.5-0.5B unsloth/Qwen2.5-0.5B
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-07-04
Maintainer	minhtuan7akp
Model Type	qwen2
Model Files	1.0 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 0.5B Base Qa Finetune V3 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 Qwen2.5 0.5B Base Qa Finetune V3

Best Alternatives	Context / RAM	Downloads	Likes
Reader Lm 0.5B	250K / 1 GB	188	150
Qwen2 0.5B	128K / 1 GB	1216780	169
Qwen2 0.5B Finetune Exp 1	128K / 1 GB	15	0
...0.5B FT EnhancedMUSREnsembleV3	128K / 1 GB	32	1
....5B FT V4 MUSR ENSEMBLE Mathis	128K / 2 GB	30	1
...0.5B FT MUSR ENSEMBLE V2Mathis	128K / 1 GB	25	0
...PRYMMAL 0.5B FT V4 MUSR Mathis	128K / 1 GB	62	1
Qwen2 0.5B Stf Imdb	128K / 1 GB	7	0
ECE PRYMMAL 0.5B FT V3 MUSR	128K / 2 GB	17	0
ECE PRYMMAL 0.5B FT V4 MUSR	128K / 2 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than minhtuan7akp/qwen2.5_0.5b_base_qa_finetune_v3.