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Ankush Singal

Andyrasika

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upvoted an article 20 days ago

Decoding Strategies in Large Language Models

updated a collection 22 days ago

multimodal

updated a collection 23 days ago

RAG articles

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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 20 days ago

Article

Decoding Strategies in Large Language Models

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Oct 29

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RAG articles

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

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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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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