What are the hardware requirements for Exp4?

Exp4 requires a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Exp4 and how large is it?

Exp4 is developed by Ba2han, a model with 1.1b 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 Exp4?

Exp4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Exp4 by Ba2han — 8K context

Name: Exp4
Author: Ba2han

Exp4 is an open-source language model by Ba2han. Features: 1.1b LLM, Context: 8K, LLM Explorer Score: 0.28.

Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Ba2han/exp4

Exp4 Parameters and Internals

LLM Name	Exp4
Repository 🤗	https://huggingface.co/Ba2han/exp4
Model Name	random_model
Model Size	1.1b
Required VRAM	0 GB
Updated	2026-08-25
Maintainer	Ba2han
Model Type	qwen3
Model Files	2.2 GB 0.0 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	5.5.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	60800

Rank the Exp4 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 Exp4

Best Alternatives	Context / RAM	Downloads	Likes
Jan Nano 8bit	40K / 4.3 GB	20	5