What are the hardware requirements for Dre Tiny 200M?

Dre Tiny 200M requires approximately 2.2 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 Dre Tiny 200M and how large is it?

Dre Tiny 200M is developed by empgces, a model with 200m 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 Dre Tiny 200M?

Dre Tiny 200M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dre Tiny 200M by empgces — VRAM 2.2GB, 2K context

Name: Dre Tiny 200M
Author: empgces

Dre Tiny 200M is an open-source language model by empgces. Features: 200m LLM, VRAM: 2.2GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4bit Base model:finetune:unsloth/ti... Base model:unsloth/tinyllama-c... Conversational En Endpoints compatible Llama Pytorch Quantized Region:us Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/empgces/dre_tiny_200M

Dre Tiny 200M Parameters and Internals

Model Type

text generation

Additional Notes

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Dre Tiny 200M
Repository 🤗	https://huggingface.co/empgces/dre_tiny_200M
Base Model(s)	Tinyllama Chat Bnb 4bit unsloth/tinyllama-chat-bnb-4bit
Model Size	200m
Required VRAM	2.2 GB
Updated	2026-08-04
Maintainer	empgces
Model Type	llama
Model Files	2.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Dre Tiny 200M 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 Dre Tiny 200M

Best Alternatives	Context / RAM	Downloads	Likes
TIPO 200M Ft2	2K / 0.4 GB	3368	24

Note: green Score (e.g. "73.2") means that the model is better than empgces/dre_tiny_200M.