What are the hardware requirements for J.O.S.I.E.v4o 0.5B Stage1 Beta1?

J.O.S.I.E.v4o 0.5B Stage1 Beta1 requires approximately 1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed J.O.S.I.E.v4o 0.5B Stage1 Beta1 and how large is it?

J.O.S.I.E.v4o 0.5B Stage1 Beta1 is developed by Goekdeniz-Guelmez, 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 J.O.S.I.E.v4o 0.5B Stage1 Beta1?

J.O.S.I.E.v4o 0.5B Stage1 Beta1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

J.O.S.I.E.v4o 0.5B Stage1 Beta1 by Goekdeniz-Guelmez — VRAM 1GB, 128K context

Name: J.O.S.I.E.v4o 0.5B Stage1 Beta1
Author: Goekdeniz-Guelmez

J.O.S.I.E.v4o 0.5B Stage1 Beta1 is an open-source language model by Goekdeniz-Guelmez. Features: 0.5b LLM, VRAM: 1GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4bit Conversational En Endpoints compatible Quantized Qwen2 Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/J.O.S.I.E.v4o-0.5b-stage1-beta1

J.O.S.I.E.v4o 0.5B Stage1 Beta1 Parameters and Internals

Model Type

text generation

Additional Notes

The model is still in beta and is labeled as 'Just an Outstandingly Smart Intelligent Entity' (J.O.S.I.E.).

Supported Languages

en (high)

Training Details

Methodology:

The model was trained with the educational framework Unsloth and Huggingface's TRL library.

Training Time:

2x faster due to the usage of Unsloth library.

LLM Name	J.O.S.I.E.v4o 0.5B Stage1 Beta1
Repository 🤗	https://huggingface.co/Goekdeniz-Guelmez/J.O.S.I.E.v4o-0.5b-stage1-beta1
Base Model(s)	unsloth/qwen2-0.5b-bnb-4bit unsloth/qwen2-0.5b-bnb-4bit
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-08-04
Maintainer	Goekdeniz-Guelmez
Model Type	qwen2
Model Files	1.0 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.41.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the J.O.S.I.E.v4o 0.5B Stage1 Beta1 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 J.O.S.I.E.v4o 0.5B Stage1 Beta1

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 0.5B Finetune Exp 2	128K / 1 GB	16	0
Qwen2 0.5B 20240829 175401	128K / 1 GB	8	0
Qwen2 0.5B Bnb 4bit	128K / 0.5 GB	1123	3
Qwen2 0.5B Alpaca Merged St	128K / 1 GB	6	0
Qwen2 0.5B Assamese V0.2.1	128K / 1 GB	12	0
Qwen2 0.5B Assamese V0.2.2	128K / 1 GB	7	0
Ymail Search Qwen2 0.5B 16bit	128K / 1 GB	16	0
Ymail Search Qwen2 0.5B 4bit	128K / 0.5 GB	9	0
....O.S.I.E.v4o 0.5B Stage1 Beta1	128K / 1 GB	5	1
...5 0.5B Pgabl Legal Sft Dzakwan	32K / 1 GB	340	0

Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/J.O.S.I.E.v4o-0.5b-stage1-beta1.