What are the hardware requirements for MagicPrompt Tinystories 33M Epoch10 Merged?

MagicPrompt Tinystories 33M Epoch10 Merged requires approximately 0.3 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MagicPrompt Tinystories 33M Epoch10 Merged and how large is it?

MagicPrompt Tinystories 33M Epoch10 Merged is developed by Technotech, a model with 33m 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 MagicPrompt Tinystories 33M Epoch10 Merged?

MagicPrompt Tinystories 33M Epoch10 Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MagicPrompt Tinystories 33M Epoch10 Merged by Technotech — VRAM 0.3GB, 2K context

Name: MagicPrompt Tinystories 33M Epoch10 Merged
Author: Technotech

MagicPrompt Tinystories 33M Epoch10 Merged is an open-source language model by Technotech. Features: 33m LLM, VRAM: 0.3GB, Context: 2K, License: apache-2.0, Merged, LLM Explorer Score: 0.08.

Merged Model Completion Dataset:gustavosta/stable-diff... En Endpoints compatible Gpt neo Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Technotech/MagicPrompt-tinystories-33M-epoch10-merged

MagicPrompt Tinystories 33M Epoch10 Merged Parameters and Internals

Model Type

completion

Additional Notes

The model is inspired by MagicPrompt-Stable-Diffusion and is good considering its small size.

Supported Languages

en (English)

Training Details

Data Sources:

Gustavosta/Stable-Diffusion-Prompts

Data Volume:

80k Stable Diffusion prompts

Model Architecture:

Rank 16 LoRA

Input Output

Performance Tips:

`no_repeat_ngram_size` is important for ensuring non-repetition.

LLM Name	MagicPrompt Tinystories 33M Epoch10 Merged
Repository 🤗	https://huggingface.co/Technotech/MagicPrompt-tinystories-33M-epoch10-merged
Merged Model	Yes
Model Size	33m
Required VRAM	0.3 GB
Updated	2026-07-29
Maintainer	Technotech
Model Type	gpt_neo
Model Files	0.3 GB 0.3 GB
Supported Languages	en
Model Architecture	GPTNeoForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.30.2
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	<\|endoftext\|>
End of Sentence Token	<\|endoftext\|>
Unk Token	<\|endoftext\|>
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new
Errors	replace

Rank the MagicPrompt Tinystories 33M Epoch10 Merged 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 MagicPrompt Tinystories 33M Epoch10 Merged

Best Alternatives	Context / RAM	Downloads	Likes
TinyStories 33M	2K / 0.3 GB	12627	112
...eo 33M Simplewiki 2048 Scratch	2K / 0.3 GB	3	1
TinyStories 33M Ds	2K / GB	7	0
TinyStories Instruct 33M	2K / 0.3 GB	2599	10
TinyStories 33M Finetuned	2K / 0.3 GB	12	0
TinyStories 2Layers 33M	2K / 0.3 GB	510	5
...nyStories Instruct 2Layers 33M	2K / 0.3 GB	346	7

Note: green Score (e.g. "73.2") means that the model is better than Technotech/MagicPrompt-tinystories-33M-epoch10-merged.