What are the hardware requirements for TinyLlama 1.1B 32K?

TinyLlama 1.1B 32K requires approximately 2.2 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 TinyLlama 1.1B 32K and how large is it?

TinyLlama 1.1B 32K is developed by Doctor-Shotgun, a model with 1.1b 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 TinyLlama 1.1B 32K?

TinyLlama 1.1B 32K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TinyLlama 1.1B 32K by Doctor-Shotgun — VRAM 2.2GB, 32K context

Name: TinyLlama 1.1B 32K
Author: Doctor-Shotgun

TinyLlama 1.1B 32K is an open-source language model by Doctor-Shotgun. Features: 1.1b LLM, VRAM: 2.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.1.

Dataset:togethercomputer/redpa... Deploy:azure En Endpoints compatible Llama Llama 2 Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Doctor-Shotgun/TinyLlama-1.1B-32k

TinyLlama 1.1B 32K Parameters and Internals

Model Type

text generation, long-context modeling

Use Cases

Areas:

research

Primary Use Cases:

long-context speculative decoding

Additional Notes

The quantized model fits alongside a 4.25bpw 70B model at 32k sequence length and provides noticeable speed-up with speculative decoding.

Supported Languages

en (high)

Training Details

Data Sources:

togethercomputer/RedPajama-Data-1T-Sample

Data Volume:

1T tokens

Methodology:

context finetune with increased rope theta (rope frequency base) for long-context modeling

Context Length:

32768

Hardware Used:

single A6000

Model Architecture:

Derived from TinyLlama-1.1B architecture

Input Output

Accepted Modalities:

text

Output Format:

text

LLM Name	TinyLlama 1.1B 32K
Repository 🤗	https://huggingface.co/Doctor-Shotgun/TinyLlama-1.1B-32k
Model Size	1.1b
Required VRAM	2.2 GB
Updated	2026-08-28
Maintainer	Doctor-Shotgun
Model Type	llama
Model Files	2.2 GB 2.2 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

Rank the TinyLlama 1.1B 32K 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

Quantized Models of the TinyLlama 1.1B 32K

Model	Likes	Downloads	VRAM
...E TinyLlama 1.1B 32K Base 8bit	1	17	1 GB
...E TinyLlama 1.1B 32K Base 4bit	1	17	0 GB
TinyLlama 1.1B 32K GGUF	0	211	0 GB

Best Alternatives to TinyLlama 1.1B 32K

Best Alternatives	Context / RAM	Downloads	Likes
TinyKiller NSFW DPO 1.1B	32K / 2.2 GB	12	0
Coven Tiny 1.1b 32k Orpo Alpha	32K / 2.2 GB	9	2
Test Mix 01	32K / 2.2 GB	5	0
Palmer Merge Test 5	32K / 2.2 GB	5	0
...llama 1.1B 16K Instructions V4	32K / 2.2 GB	8	0
TinyLlama 1.1B 32K Instruct	32K / 2.2 GB	433	13
TinyJ.O.S.I.E. 1.1B 32K Base	32K / 2.2 GB	30	1
Palmer 002 32K	32K / 2.2 GB	9	0
TinyJ.O.S.I.E. 1.1B 32K Base	32K / 2.2 GB	5	1
...lama 1.1B 16K Instructions Rag	32K / 2.2 GB	25	0

Note: green Score (e.g. "73.2") means that the model is better than Doctor-Shotgun/TinyLlama-1.1B-32k.