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Ankush Singal

Andyrasika

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Recent Activity

upvoted an article 13 days ago

Decoding Strategies in Large Language Models

updated a collection 16 days ago

multimodal

updated a collection 17 days ago

RAG articles

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Articles

SwanLab and Transformers: Power Up Your NLP Experiments

Jun 17

• 6

Estimating Memory Consumption of LLMs for Inference and Fine-Tuning for Cohere Command-R+

Apr 26

• 11

RAG Empowerment: Cohere C4AI Command-R and Transformers Unveiled

Apr 7

• 10

Elevate Responses: RAG with LlamaIndex & MongoDB

Mar 28

• 4

Revolutionizing Video Transcription: Unveiling Gemma-2b-it and Langchain in the Era of Transformers

Mar 12

• 3

Unveiling TinyLlama: An Inspiring Dive into a Revolutionary Small-Scale Language Model

Jan 8

• 2

Multimodal IDEFICS: Unveiling the Transparency & Power of Open Visual Language Models

Jan 8

Streamlining Data Management with Hugging Face and DVC: A Seamless Integration

Jan 3

Leveraging Transformers and PyTorch for Multiple Choice Question Tasks

Dec 25, 2023

• 1

Uniting Forces: Integrating Hugging Face with Langchain for Enhanced Natural Language Processing

Dec 18, 2023

• 4

Detecting the Deceptive: Unmasking Deep Fake Voices

Oct 29, 2023

• 2

Hearing is Believing: Revolutionizing AI with Audio Classification via Computer Vision

Oct 22, 2023

• 1

InfiniText: Empowering Conversations & Content with Mistral-7B-Instruct-v0.1

Oct 12, 2023

Samantha and Mistral 7B: A Powerful and Versatile Language Model Duo

Oct 2, 2023

• 1

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Andyrasika's activity

upvoted an article 13 days ago

Article

Decoding Strategies in Large Language Models

•

26 days ago

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updated a collection 16 days ago

multimodal

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this collection is for multimodal papers • 2 items • Updated 16 days ago • 1

updated a collection 17 days ago

RAG articles

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This collection is meant for RAG articles • 10 items • Updated 17 days ago • 1

updated a collection 18 days ago

RAG articles

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This collection is meant for RAG articles • 10 items • Updated 17 days ago • 1

updated a collection 19 days ago

Fine-Tuning

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updated a collection about 1 month ago

computation

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this is for Mixture of XXX • 1 item • Updated Oct 23 • 1

upvoted 2 collections about 1 month ago

computation

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this is for Mixture of XXX • 1 item • Updated Oct 23 • 1

Fine-Tuning

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Fine-Tuning • 2 items • Updated 19 days ago • 1

updated 2 collections about 1 month ago

Fine-Tuning

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Fine-Tuning • 2 items • Updated 19 days ago • 1

RAG articles

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This collection is meant for RAG articles • 10 items • Updated 17 days ago • 1

New activity in microsoft/Florence-2-large about 1 month ago

Clarification on JSON Lines Dataset for Multi-Task Fine-Tuning of Florence-2

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mariaac

updated a collection about 2 months ago

Audio

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This collection is dedicate to Audio Transformers • 2 items • Updated Oct 8 • 1

Reacted to MonsterMMORPG's post with 🔥 about 2 months ago

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2923

Detailed Comparison of JoyCaption Alpha One vs JoyCaption Pre-Alpha — 10 Different Style Amazing Images — I think JoyCaption Alpha One is the very best image captioning model at the moment for model training — Works very fast and requires as low as 8.5 GB VRAM

Where To Download And Install

You can download our APP from here : https://www.patreon.com/posts/110613301

1-Click to install on Windows, RunPod and Massed Compute
Official APP is here where you can try : fancyfeast/joy-caption-alpha-one

Have The Following Features

Auto downloads meta-llama/Meta-Llama-3.1–8B into your Hugging Face cache folder and other necessary models into the installation folder

Use 4-bit quantization — Uses 8.5 GB VRAM Total

Overwrite existing caption file

Append new caption to existing caption

Remove newlines from generated captions

Cut off at last complete sentence

Discard repeating sentences

Don’t save processed image

Caption Prefix

Caption Suffix

Custom System Prompt (Optional)

Input Folder for Batch Processing

Output Folder for Batch Processing (Optional)

Fully supported Multi GPU captioning — GPU IDs (comma-separated, e.g., 0,1,2)

Batch Size — Batch captioning