What are the hardware requirements for TinyLlama V1.1 Math Code?

TinyLlama V1.1 Math Code requires approximately 4.4 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 TinyLlama V1.1 Math Code and how large is it?

TinyLlama V1.1 Math Code is developed by TinyLlama, a model with 627b 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 V1.1 Math Code?

TinyLlama V1.1 Math Code is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TinyLlama V1.1 Math Code by TinyLlama — VRAM 4.4GB, 2K context

Name: TinyLlama V1.1 Math Code
Author: TinyLlama

TinyLlama V1.1 Math Code is an open-source language model by TinyLlama. Features: 627b LLM, VRAM: 4.4GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.11.

Arxiv:2401.02385 Dataset:cerebras/slimpajama-62... En Endpoints compatible Llama Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/TinyLlama/TinyLlama_v1.1_math_code

TinyLlama V1.1 Math Code Parameters and Internals

Model Type

text generation

Use Cases

Areas:

General purposes, Math and code, Chinese language understanding

Primary Use Cases:

TinyLlama_v1.1, TinyLlama_v1.1_Math&Code, TinyLlama_v1.1_Chinese

Additional Notes

TinyLlama is compatible to be integrated with Llama-based systems. It features a compact architecture with 1.1B parameters.

Supported Languages

en (English), zh (Chinese)

Training Details

Data Sources:

cerebras/SlimPajama-627B, Math&Code, Skypile

Data Volume:

2 trillion tokens

Methodology:

Continual pretraining with specific domains

Training Time:

Start date 2023-09-01

Hardware Used:

4 A100-40G per node

Model Architecture:

Llama 2 architecture

Input Output

Accepted Modalities:

text

LLM Name	TinyLlama V1.1 Math Code
Repository 🤗	https://huggingface.co/TinyLlama/TinyLlama_v1.1_math_code
Model Size	627b
Required VRAM	4.4 GB
Updated	2026-08-08
Maintainer	TinyLlama
Model Type	llama
Model Files	4.4 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the TinyLlama V1.1 Math Code 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 TinyLlama V1.1 Math Code

Best Alternatives	Context / RAM	Downloads	Likes
TinyLlama V1.1	2K / 4.4 GB	36667	112
CroissantLLMBase	2K / 5.4 GB	1012	36
...Llama 1.1B 1.5T OpenOrca Alpha	2K / 2.2 GB	60	4
MicroLlama	2K / 1.2 GB	255	53
TinyLlama 1.1B 1T OpenOrca	2K / 2.2 GB	84	7
TinyLlama V1.1 Chinese	2K / 4.4 GB	56	15
...inyLlama 1.1B 1T OpenOrca GPTQ	2K / 0.8 GB	9	2
TinyLlama 1.1B 1T OpenOrca AWQ	2K / 0.8 GB	4	2

Note: green Score (e.g. "73.2") means that the model is better than TinyLlama/TinyLlama_v1.1_math_code.