What are the hardware requirements for ORLM LLaMA 3 8B?

ORLM LLaMA 3 8B requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ORLM LLaMA 3 8B and how large is it?

ORLM LLaMA 3 8B is developed by CardinalOperations, 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 ORLM LLaMA 3 8B?

ORLM LLaMA 3 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ORLM LLaMA 3 8B by CardinalOperations — VRAM 16.1GB, 8K context

Name: ORLM LLaMA 3 8B
Author: CardinalOperations

ORLM LLaMA 3 8B is an open-source language model by CardinalOperations. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.13.

Arxiv:2405.17743 Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/CardinalOperations/ORLM-LLaMA-3-8B

ORLM LLaMA 3 8B Parameters and Internals

Model Type

operations research, optimization modeling

Use Cases

Areas:

operations research

Training Details

Methodology:

Fully fine-tuned on OR-Instruct data

Input Output

Input Format:

A template where the question is inserted into a provided structure for operations research problems.

Accepted Modalities:

text

Output Format:

Mathematical model and Python code using `coptpy` library

LLM Name	ORLM LLaMA 3 8B
Repository 🤗	https://huggingface.co/CardinalOperations/ORLM-LLaMA-3-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-24
Maintainer	CardinalOperations
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the ORLM LLaMA 3 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

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...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
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Note: green Score (e.g. "73.2") means that the model is better than CardinalOperations/ORLM-LLaMA-3-8B.