What are the hardware requirements for Qwen2.5 0.5B Ultrainteract Sft 2e 5 1ep?

Qwen2.5 0.5B Ultrainteract Sft 2e 5 1ep requires approximately 1.3 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 Ultrainteract Sft 2e 5 1ep and how large is it?

Qwen2.5 0.5B Ultrainteract Sft 2e 5 1ep is developed by JayHyeon, 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 Ultrainteract Sft 2e 5 1ep?

Qwen2.5 0.5B Ultrainteract Sft 2e 5 1ep 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 Ultrainteract Sft 2e 5 1ep by JayHyeon — VRAM 1.3GB, 32K context

Name: Qwen2.5 0.5B Ultrainteract Sft 2e 5 1ep
Author: JayHyeon

Qwen2.5 0.5B Ultrainteract Sft 2e 5 1ep is an open-source language model by JayHyeon. Features: 0.5b LLM, VRAM: 1.3GB, Context: 32K, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b Conversational Dataset:openbmb/ultrainteract ... Endpoints compatible Generated from trainer Qwen2 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/JayHyeon/Qwen2.5-0.5B_ultrainteract_sft_2e-5_1ep

Qwen2.5 0.5B Ultrainteract Sft 2e 5 1ep Parameters and Internals

LLM Name	Qwen2.5 0.5B Ultrainteract Sft 2e 5 1ep
Repository 🤗	https://huggingface.co/JayHyeon/Qwen2.5-0.5B_ultrainteract_sft_2e-5_1ep
Model Name	Qwen2.5-0.5B_ultrainteract_sft_2e-5_1ep
Base Model(s)	Qwen/Qwen2.5-0.5B Qwen/Qwen2.5-0.5B
Model Size	0.5b
Required VRAM	1.3 GB
Updated	2026-07-30
Maintainer	JayHyeon
Model Type	qwen2
Model Files	1.3 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.47.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 0.5B Ultrainteract Sft 2e 5 1ep 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

Best Alternatives to Qwen2.5 0.5B Ultrainteract Sft 2e 5 1ep

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 JayHyeon/Qwen2.5-0.5B_ultrainteract_sft_2e-5_1ep.