What are the hardware requirements for Smol Llama 220M GQA 32K Theta?

Smol Llama 220M GQA 32K Theta requires approximately 0.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Smol Llama 220M GQA 32K Theta and how large is it?

Smol Llama 220M GQA 32K Theta is developed by Doctor-Shotgun, a model with 220m 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 Smol Llama 220M GQA 32K Theta?

Smol Llama 220M GQA 32K Theta is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Smol Llama 220M GQA 32K Theta by Doctor-Shotgun — VRAM 0.4GB, 32K context

Name: Smol Llama 220M GQA 32K Theta
Author: Doctor-Shotgun

Smol Llama 220M GQA 32K Theta is an open-source language model by Doctor-Shotgun. Features: 220m LLM, VRAM: 0.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.1.

Dataset:togethercomputer/redpa... En Endpoints compatible Llama Llama 2 Pytorch Region:us Smol llama

Model Card on HF 🤗: https://huggingface.co/Doctor-Shotgun/smol_llama-220M-GQA-32k-theta

Smol Llama 220M GQA 32K Theta Parameters and Internals

Model Type

long-context speculative decoding

Additional Notes

Experimental model with focus on long-context speculative decoding.

Supported Languages

en (English)

Training Details

Data Sources:

togethercomputer/RedPajama-Data-1T-Sample

Methodology:

rope theta (rope frequency base) method for context extension

Context Length:

32768

LLM Name	Smol Llama 220M GQA 32K Theta
Repository 🤗	https://huggingface.co/Doctor-Shotgun/smol_llama-220M-GQA-32k-theta
Model Size	220m
Required VRAM	0.4 GB
Updated	2026-08-29
Maintainer	Doctor-Shotgun
Model Type	llama
Model Files	0.4 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Doctor-Shotgun/smol_llama-220M-GQA-32k-theta.