What are the hardware requirements for Llama 3 6.3B V0.1?

Llama 3 6.3B 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 6.3B V0.1 and how large is it?

Llama 3 6.3B V0.1 is developed by pszemraj, 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 6.3B V0.1?

Llama 3 6.3B V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 6.3B V0.1 by pszemraj — VRAM 12.6GB, 8K context

Name: Llama 3 6.3B V0.1
Author: pszemraj

Llama 3 6.3B V0.1 is an open-source language model by pszemraj. Features: 8b LLM, VRAM: 12.6GB, Context: 8K, License: llama3, LLM Explorer Score: 0.15.

Axolotl Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Dataset:bee-spoke-data/ki-smor... En Endpoints compatible Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/pszemraj/Llama-3-6.3b-v0.1

Llama 3 6.3B V0.1 Parameters and Internals

Model Type

text-generation

Additional Notes

This is a layer pruning experiment based on Llama-3-8B.

Training Details

Data Sources:

BEE-spoke-data/KI-smorgasbord_fw-small, BEE-spoke-data/fineweb-100k_en-med

Data Volume:

10k rows of FineWeb + some curated data

Methodology:

Layer pruning with PruneMe/MergeKit

Context Length:

4096

Training Time:

No log

Model Architecture:

8 layers pruned using PruneMe

LLM Name	Llama 3 6.3B V0.1
Repository 🤗	https://huggingface.co/pszemraj/Llama-3-6.3b-v0.1
Base Model(s)	Meta Llama 3 8B meta-llama/Meta-Llama-3-8B
Model Size	8b
Required VRAM	12.6 GB
Updated	2026-07-10
Maintainer	pszemraj
Model Type	llama
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 2.6 GB: 3-of-3 0.0 GB
Supported Languages	en
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 6.3B 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

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Note: green Score (e.g. "73.2") means that the model is better than pszemraj/Llama-3-6.3b-v0.1.