What are the hardware requirements for Llama 3 8B Tulu 330K?

Llama 3 8B Tulu 330K 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 Llama 3 8B Tulu 330K and how large is it?

Llama 3 8B Tulu 330K is developed by Magpie-Align, 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 Llama 3 8B Tulu 330K?

Llama 3 8B Tulu 330K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 8B Tulu 330K by Magpie-Align — VRAM 16.1GB, 8K context

Name: Llama 3 8B Tulu 330K
Author: Magpie-Align

Llama 3 8B Tulu 330K is an open-source language model by Magpie-Align. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.13.

Axolotl Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Conversational Endpoints compatible Generated from trainer Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Magpie-Align/Llama-3-8B-Tulu-330K

Llama 3 8B Tulu 330K Parameters and Internals

Model Type

LlamaForCausalLM

Additional Notes

More information needed for the model description, intended uses, limitations, and training and evaluation data.

Training Details

Data Sources:

flydust/tulu-v2-sft-mixture-sharegpt

Context Length:

8192

Hardware Used:

multi-GPU with 4 devices

LLM Name	Llama 3 8B Tulu 330K
Repository 🤗	https://huggingface.co/Magpie-Align/Llama-3-8B-Tulu-330K
Base Model(s)	Meta Llama 3 8B meta-llama/Meta-Llama-3-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-06
Maintainer	Magpie-Align
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 5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4 0.0 GB
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 8B Tulu 330K 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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...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 Magpie-Align/Llama-3-8B-Tulu-330K.