What are the hardware requirements for Taj Mahal History Tutor 4B Experimental?

Taj Mahal History Tutor 4B Experimental requires approximately 8 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Taj Mahal History Tutor 4B Experimental and how large is it?

Taj Mahal History Tutor 4B Experimental is developed by OmTheLast, a model with 4b 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 Taj Mahal History Tutor 4B Experimental?

Taj Mahal History Tutor 4B Experimental is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Taj Mahal History Tutor 4B Experimental by OmTheLast — VRAM 8GB, 256K context

Name: Taj Mahal History Tutor 4B Experimental
Author: OmTheLast

Taj Mahal History Tutor 4B Experimental is an open-source language model by OmTheLast. Features: 4b LLM, VRAM: 8GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.31.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-instr... Conversational Education En Endpoints compatible Experimental Gguf History Instruct Qwen3 Region:us Safetensors Sharded Taj-mahal Tensorflow

Model Card on HF 🤗: https://huggingface.co/OmTheLast/taj-mahal-history-tutor-4b-experimental

Taj Mahal History Tutor 4B Experimental Parameters and Internals

LLM Name	Taj Mahal History Tutor 4B Experimental
Repository 🤗	https://huggingface.co/OmTheLast/taj-mahal-history-tutor-4b-experimental
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8 GB
Updated	2026-09-25
Maintainer	OmTheLast
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-2 2.7 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Taj Mahal History Tutor 4B Experimental 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 Taj Mahal History Tutor 4B Experimental

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Fable Traces	256K / 8.1 GB	263	210
Voho Saudi Chat 4B	256K / 8 GB	468	1
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Hades 4B Abliterated	256K / 8.1 GB	173	1
...en3 4B Instruct 2507 Depressed	256K / 8.1 GB	215	1
Qwen3 4B Cuad Extractor	256K / 8.1 GB	322	1
Qwen Fine Tuned	256K / 8 GB	295	1

Note: green Score (e.g. "73.2") means that the model is better than OmTheLast/taj-mahal-history-tutor-4b-experimental.