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HelpingAI 9B by OEvortex

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HelpingAI 9B is an open-source language model by OEvortex. Features: 9b LLM, VRAM: 17.6GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.15, Arc: 58.9, HellaSwag: 79.2, MMLU: 65, GSM8K: 53.8.

  Autotrain compatible   Conversational Dataset:oevortex/emotionalinte... Dataset:oevortex/sentimentsynt...   Emotionally intelligent   Endpoints compatible   Eq   Gguf   Helpingai   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/OEvortex/HelpingAI-9B 

HelpingAI 9B Benchmarks

ARC: 58.87 vs 96.7 (so35)-39.1%
HellaSwag: 79.16 vs 95.3 (gpt4)-16.9%
MMLU: 65.01 vs 88.3 (so35)-26.4%
GSM8K: 53.75 vs 96.4 (so35)-44.2%
LLME Score: 0.15121
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
HelpingAI 9B (OEvortex/HelpingAI-9B)
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HelpingAI 9B Parameters and Internals

Model Type 
text generation, emotional intelligence
Training Details 
Data Sources:
OEvortex/SentimentSynth, OEvortex/EmotionalIntelligence-10K
Methodology:
Supervised learning on large dialogue datasets with emotional labeling, Reinforcement learning with a reward model favoring emotionally supportive responses, Constitution training, Knowledge augmentation from psychological resources on emotional intelligence
LLM NameHelpingAI 9B
Repository 🤗https://huggingface.co/OEvortex/HelpingAI-9B 
Base Model(s)  HelpingAI 9B Mlx   OEvortex/HelpingAI-9B-mlx
Model Size9b
Required VRAM17.6 GB
Updated2024-12-05
MaintainerOEvortex
Model Typellama
Model Files  5.0 GB   9.9 GB: 1-of-2   7.7 GB: 2-of-2
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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HelpingAI 9B4K / 17.6 GB6226
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Yi 9B 200K 3.0bpw H6 EXL2256K / 3.9 GB11
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Faro Yi 9B DPO 6bpw EXL232K / 7 GB61
Note: green Score (e.g. "73.2") means that the model is better than OEvortex/HelpingAI-9B.

Rank the HelpingAI 9B 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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