What are the hardware requirements for Llama 3 6B V0.1?

Llama 3 6B V0.1 requires approximately 12.6 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 6B V0.1 and how large is it?

Llama 3 6B V0.1 is developed by prince-canuma, a model with 6b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 3 6B V0.1 perform on standard benchmarks?

Llama 3 6B V0.1 has the following published scores: MMLU 61.84. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 6B V0.1 by prince-canuma — VRAM 12.6GB, 8K context

Name: Llama 3 6B V0.1
Author: prince-canuma

Llama 3 6B V0.1 is an open-source language model by prince-canuma. Features: 6b LLM, VRAM: 12.6GB, Context: 8K, License: llama3, LLM Explorer Score: 0.15, Arc: 48.2, HellaSwag: 74.7, MMLU: 61.8, GSM8K: 24.1.

Arxiv:2212.05055 Arxiv:2404.08634 6b Base model:finetune:prince-can... Base model:prince-canuma/llama... Dataset:huggingfacefw/fineweb Dataset:prince-canuma/fineweb-... Deploy:azure En Endpoints compatible Llama Llama-3-6b Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/prince-canuma/Llama-3-6B-v0.1

Llama 3 6B V0.1 Parameters and Internals

Model Type

Llama

Use Cases

Areas:

Research, Commercial applications

Applications:

Coding assistant, RAG, Function Calling and more

Limitations:

Limited scope for coding and math, Language limitations (English-only)

Additional Notes

This model is created using downcycling from a larger model to reduce parameter size while maintaining performance.

Training Details

Data Sources:

prince-canuma/fineweb-CC-MAIN-2024-10-1B-en, HuggingFaceFW/fineweb

Data Volume:

1B tokens

Methodology:

downcycling

Context Length:

8192

Hardware Used:

4x RTX 6000 using JarvisLabs

Input Output

Input Format:

text input

Accepted Modalities:

text

Output Format:

text output

LLM Name	Llama 3 6B V0.1
Repository 🤗	https://huggingface.co/prince-canuma/Llama-3-6B-v0.1
Base Model(s)	Llama 3 6B V0 prince-canuma/Llama-3-6B-v0
Model Size	6b
Required VRAM	12.6 GB
Updated	2026-08-05
Maintainer	prince-canuma
Model Type	llama
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 2.6 GB: 3-of-3
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3 6B V0.1 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 Llama 3 6B V0.1

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Yi 6B 200K	195K / 12.1 GB	16530	172
Yi 6B 200K AEZAKMI V2	195K / 12.1 GB	95	1
Yi 6B 200K DPO	195K / 12.1 GB	105	0
Wukong Yi 6B 200K	195K / 12.1 GB	4	1
Barcenas 6B 200K	195K / 12.1 GB	93	2
Yi 6B 200K Llamafied	195K / 12.1 GB	36	11
Yi 6B 200K Llama	195K / 12.1 GB	5	5
Llama 3.2 6B AlgoCode	128K / 12.7 GB	7	1
Chatglm2 6B Port Llama	32K / 12.5 GB	5	4
Miqu 6B Truthy	31K / 11.3 GB	76	1

Note: green Score (e.g. "73.2") means that the model is better than prince-canuma/Llama-3-6B-v0.1.