raincandy-u_-_Llama-3-5B-Sheard-gguf

RichardErkhov/raincandy-u_-_Llama-3-5B-Sheard-gguf

raincandy-u_-_Llama-3-5B-Sheard-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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68.3 GB

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Hugging Face

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.gguf79 GB · 100%

At a glance

Access: Public
Created: Jun 30, 2024
Updated: Jun 30, 2024
SHA: cb5238e2

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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Llama-3-5B-Sheard - GGUF

Model creator: https://huggingface.co/raincandy-u/
Original model: https://huggingface.co/raincandy-u/Llama-3-5B-Sheard/

Name	Quant method	Size
Llama-3-5B-Sheard.Q2_K.gguf	Q2_K	2.21GB
Llama-3-5B-Sheard.IQ3_XS.gguf	IQ3_XS	2.44GB
Llama-3-5B-Sheard.IQ3_S.gguf	IQ3_S	2.55GB
Llama-3-5B-Sheard.Q3_K_S.gguf	Q3_K_S	2.54GB
Llama-3-5B-Sheard.IQ3_M.gguf	IQ3_M	2.61GB
Llama-3-5B-Sheard.Q3_K.gguf	Q3_K	2.76GB
Llama-3-5B-Sheard.Q3_K_M.gguf	Q3_K_M	2.76GB
Llama-3-5B-Sheard.Q3_K_L.gguf	Q3_K_L	2.96GB
Llama-3-5B-Sheard.IQ4_XS.gguf	IQ4_XS	3.07GB
Llama-3-5B-Sheard.Q4_0.gguf	Q4_0	3.2GB
Llama-3-5B-Sheard.IQ4_NL.gguf	IQ4_NL	3.22GB
Llama-3-5B-Sheard.Q4_K_S.gguf	Q4_K_S	3.21GB
Llama-3-5B-Sheard.Q4_K.gguf	Q4_K	3.35GB
Llama-3-5B-Sheard.Q4_K_M.gguf	Q4_K_M	3.35GB
Llama-3-5B-Sheard.Q4_1.gguf	Q4_1	3.51GB
Llama-3-5B-Sheard.Q5_0.gguf	Q5_0	3.82GB
Llama-3-5B-Sheard.Q5_K_S.gguf	Q5_K_S	3.82GB
Llama-3-5B-Sheard.Q5_K.gguf	Q5_K	3.9GB
Llama-3-5B-Sheard.Q5_K_M.gguf	Q5_K_M	3.9GB
Llama-3-5B-Sheard.Q5_1.gguf	Q5_1	4.13GB
Llama-3-5B-Sheard.Q6_K.gguf	Q6_K	4.48GB
Llama-3-5B-Sheard.Q8_0.gguf	Q8_0	5.8GB

Original model description:

language:

en pipeline_tag: text-generation tags:
facebook
meta
pytorch
llama
llama-3 license: other license_name: llama3 license_link: LICENSE datasets:
JeanKaddour/minipile
raincandy-u/SlimOrca-Llama-3-Preference-DPO-Pairs

image/png

Llama-3-5B-Sheard

Pruned version of Llama-3-8b.

Tool used: PrunMe, Mergekit.

Training

After sliced by mergekit, the model is continue-pretrained on minipile for 1 epoch and ~100k samples. Then we trained it using ORPO on Llama-3-70b generated DPO pairs.

Disclaimer

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

<h1><a href="https://discord.gg/Dw8SkfBm">Join our discord</a></h1>

Created: Jun 30, 2024
Updated: Jun 30, 2024