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HelpingAI Lite by OEvortex

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HelpingAI Lite is an open-source language model by OEvortex. Features: 1.1b LLM, VRAM: 2.2GB, Context: 2K, License: mit, LLM Explorer Score: 0.11.

  Coder   Conversational   Dataset:bigcode/starcoderdata Dataset:cerebras/slimpajama-62... Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee...   En   Endpoints compatible   Helpingai   Llama   Model-index   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/OEvortex/HelpingAI-Lite 

HelpingAI Lite Benchmarks

LLME Score: 0.1149
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
HelpingAI Lite (OEvortex/HelpingAI-Lite)
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HelpingAI Lite Parameters and Internals

Model Type 
text-generation
Additional Notes 
HelpingAI-Lite is a lite version of the HelpingAI model that can assist with coding tasks. It's trained on a diverse range of datasets and fine-tuned to provide accurate and helpful responses.
Supported Languages 
en (full)
Training Details 
Data Sources:
cerebras/SlimPajama-627B, bigcode/starcoderdata, HuggingFaceH4/ultrachat_200k, HuggingFaceH4/ultrafeedback_binarized
Input Output 
Accepted Modalities:
text
LLM NameHelpingAI Lite
Repository 🤗https://huggingface.co/OEvortex/HelpingAI-Lite 
Model Size1.1b
Required VRAM2.2 GB
Updated2026-04-08
MaintainerOEvortex
Model Typellama
Model Files  2.2 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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TinyJ.O.S.I.E. 1.1B 32K Base32K / 2.2 GB51
Note: green Score (e.g. "73.2") means that the model is better than OEvortex/HelpingAI-Lite.

Rank the HelpingAI Lite Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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