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: 0.14.
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 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Dre Tiny 200M Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Dre Tiny 200M |
| Repository 🤗 | https://huggingface.co/empgces/dre_tiny_200M |
| Base Model(s) | |
| Model Size | 200m |
| Required VRAM | 2.2 GB |
| Updated | 2026-05-04 |
| Maintainer | empgces |
| Model Type | llama |
| Model Files | |
| 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 |
Best Alternatives to Dre Tiny 200M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| TIPO 200M Ft2 | 2K / 0.4 GB | 1427 | 24 |
Note: green Score (e.g. "73.2") means that the model is better than empgces/dre_tiny_200M .
Rank the Dre Tiny 200M Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 53999 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a