What are the hardware requirements for OpenMath2 Llama3.1 8B?

OpenMath2 Llama3.1 8B requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OpenMath2 Llama3.1 8B and how large is it?

OpenMath2 Llama3.1 8B is developed by nvidia, a model with 8b 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 OpenMath2 Llama3.1 8B?

OpenMath2 Llama3.1 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OpenMath2 Llama3.1 8B by nvidia — VRAM 16.1GB, 128K context

Name: OpenMath2 Llama3.1 8B
Author: nvidia

OpenMath2 Llama3.1 8B is an open-source language model by nvidia. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.19.

Arxiv:2410.01560 Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Dataset:nvidia/openmathinstruc... Deploy:azure En Endpoints compatible Llama Math Nvidia Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nvidia/OpenMath2-Llama3.1-8B

OpenMath2 Llama3.1 8B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

math domain

Primary Use Cases:

math problem solving

Limitations:

not instructed for general data

Additional Notes

Pipeline and models are fully open-sourced.

Supported Languages

en (native)

Training Details

Data Sources:

OpenMathInstruct-2

Methodology:

Finetuning

Input Output

Input Format:

System/User/Assistant tokens (chat format)

Accepted Modalities:

text

Output Format:

Generated text

Performance Tips:

Recommended to use instructions in provided repository for inference.

LLM Name	OpenMath2 Llama3.1 8B
Repository 🤗	https://huggingface.co/nvidia/OpenMath2-Llama3.1-8B
Base Model(s)	meta-llama/Llama-3.1-8B meta-llama/Llama-3.1-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-06-30
Maintainer	nvidia
Model Type	llama
Model Files	10.0 GB: 1-of-2 6.1 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the OpenMath2 Llama3.1 8B 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 OpenMath2 Llama3.1 8B

Model	Likes	Downloads	VRAM
OpenMath 8B GGUF	1	53	4 GB

Best Alternatives to OpenMath2 Llama3.1 8B

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than nvidia/OpenMath2-Llama3.1-8B.