What are the hardware requirements for Qwen2 0.5B Instruct Llamafy?

Qwen2 0.5B Instruct Llamafy requires approximately 1 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2 0.5B Instruct Llamafy and how large is it?

Qwen2 0.5B Instruct Llamafy is developed by Minami-su, 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 0.5B Instruct Llamafy?

Qwen2 0.5B Instruct Llamafy is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 0.5B Instruct Llamafy by Minami-su — VRAM 1GB, 4K context

Name: Qwen2 0.5B Instruct Llamafy
Author: Minami-su

Qwen2 0.5B Instruct Llamafy is an open-source language model by Minami-su. Features: 0.5b LLM, VRAM: 1GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.13.

Chat Conversational En Endpoints compatible Instruct Llama Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/Minami-su/Qwen2-0.5B-Instruct-llamafy

Qwen2 0.5B Instruct Llamafy Parameters and Internals

Model Type

text-generation, chat

Additional Notes

This model has been modified to be compatible with Qwen2 and designed for chat-based text generation tasks.

Supported Languages

en (proficient)

Input Output

Input Format:

Chat messages template applied and tokenized

Accepted Modalities:

text

Output Format:

Generated text without prompt and special tokens

LLM Name	Qwen2 0.5B Instruct Llamafy
Repository 🤗	https://huggingface.co/Minami-su/Qwen2-0.5B-Instruct-llamafy
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-07-23
Maintainer	Minami-su
Model Type	llama
Instruction-Based	Yes
Model Files	1.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 0.5B Instruct Llamafy 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 0.5B Instruct Llamafy

Best Alternatives	Context / RAM	Downloads	Likes
Turn Detector	8K / 0.5 GB	694536	123
...arashina2.2 0.5B Instruct V0.1	8K / 1.6 GB	14012	15
...CLOVAX SEED Text Instruct 0.5B	8K / 1.1 GB	4195	85

Note: green Score (e.g. "73.2") means that the model is better than Minami-su/Qwen2-0.5B-Instruct-llamafy.