What are the hardware requirements for Open Insurance LLM Llama3 8B?

Open Insurance LLM Llama3 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 Open Insurance LLM Llama3 8B and how large is it?

Open Insurance LLM Llama3 8B is developed by Raj-Maharajwala, 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 Open Insurance LLM Llama3 8B?

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

Open Insurance LLM Llama3 8B by Raj-Maharajwala — VRAM 16.1GB, 8K context

Name: Open Insurance LLM Llama3 8B
Rating: 4 (6 reviews)
Author: Raj-Maharajwala

Open Insurance LLM Llama3 8B is an open-source language model by Raj-Maharajwala. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.16.

8b Base model:finetune:nvidia/lla... Base model:nvidia/llama3-chatq... Chatqa Chatqa-1.5 Conversational Dataset:insuranceqa En Endpoints compatible Facebook Finetuned Gpt4 Instruct Insurance Llama Llama-3 Meta Nvidia Pytorch Region:us Research Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B

Open Insurance LLM Llama3 8B Parameters and Internals

LLM Name	Open Insurance LLM Llama3 8B
Repository 🤗	https://huggingface.co/Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B
Base Model(s)	nvidia/Llama3-ChatQA-1.5-8B nvidia/Llama3-ChatQA-1.5-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-01
Maintainer	Raj-Maharajwala
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
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.46.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Open Insurance LLM Llama3 8B capabilities

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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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Note: green Score (e.g. "73.2") means that the model is better than Raj-Maharajwala/Open-Insurance-LLM-Llama3-8B.