What are the hardware requirements for Llama 3 5B Sheard?

Llama 3 5B Sheard requires approximately 11.7 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 5B Sheard and how large is it?

Llama 3 5B Sheard is developed by raincandy-u, a model with 5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 3 5B Sheard perform on standard benchmarks?

Llama 3 5B Sheard has the following published scores: MMLU 65.96. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 5B Sheard by raincandy-u — VRAM 11.7GB, 8K context

Name: Llama 3 5B Sheard
Author: raincandy-u

Llama 3 5B Sheard is an open-source language model by raincandy-u. Features: 5b LLM, VRAM: 11.7GB, Context: 8K, License: other, LLM Explorer Score: 0.15, Arc: 45.1, HellaSwag: 66.4, MMLU: 66, GSM8K: 31.2.

Conversational Dataset:jeankaddour/minipile Dataset:raincandy-u/slimorca-l... En Endpoints compatible Facebook Llama Llama-3 Meta Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/raincandy-u/Llama-3-5B-Sheard

Llama 3 5B Sheard Parameters and Internals

Model Type

text-generation

Additional Notes

This model is for testing purposes only; the output may repeat and not stop when the system prompt is not empty!

Supported Languages

en (Full)

Training Details

Data Sources:

JeanKaddour/minipile, raincandy-u/SlimOrca-Llama-3-Preference-DPO-Pairs

Methodology:

Sliced by Mergekit, continue-pretrained on minipile for 1 epoch and ~100k samples, followed by ORPO training on Llama-3-70b generated DPO pairs.

LLM Name	Llama 3 5B Sheard
Repository 🤗	https://huggingface.co/raincandy-u/Llama-3-5B-Sheard
Model Size	5b
Required VRAM	11.7 GB
Updated	2026-08-07
Maintainer	raincandy-u
Model Type	llama
Model Files	11.7 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.39.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 5B Sheard 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 raincandy-u/Llama-3-5B-Sheard.