What are the hardware requirements for Fitness Qwen 0.5B?

Fitness Qwen 0.5B 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 Fitness Qwen 0.5B and how large is it?

Fitness Qwen 0.5B is developed by AgreemSrivastava, 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 Fitness Qwen 0.5B?

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

Fitness Qwen 0.5B by AgreemSrivastava — VRAM 1GB, 32K context

Name: Fitness Qwen 0.5B
Author: AgreemSrivastava

Fitness Qwen 0.5B is an open-source language model by AgreemSrivastava. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, LLM Explorer Score: 0.31.

Base model:agreemsrivastava/fi... Base model:finetune:agreemsriv... Conversational Endpoints compatible Generated from trainer Qwen2 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/AgreemSrivastava/fitness-qwen-0.5b

Fitness Qwen 0.5B Parameters and Internals

LLM Name	Fitness Qwen 0.5B
Repository 🤗	https://huggingface.co/AgreemSrivastava/fitness-qwen-0.5b
Model Name	fitness-qwen-0.5b
Base Model(s)	AgreemSrivastava/fitness-qwen-0.5b AgreemSrivastava/fitness-qwen-0.5b
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-08-27
Maintainer	AgreemSrivastava
Model Type	qwen2
Model Files	1.0 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.15.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Errors	replace

Rank the Fitness Qwen 0.5B 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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