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OpenBezoar HH RLHF SFT by SurgeGlobal

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OpenBezoar HH RLHF SFT is an open-source language model by SurgeGlobal. Features: 3b LLM, VRAM: 6.8GB, Context: 2K, License: cc-by-nc-4.0, LLM Explorer Score: 0.09.

  Arxiv:2306.02707   Arxiv:2404.12195 Base model:finetune:surgegloba... Base model:surgeglobal/openbez...   Dataset:anthropic/hh-rlhf   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/SurgeGlobal/OpenBezoar-HH-RLHF-SFT 

OpenBezoar HH RLHF SFT Benchmarks

LLME Score: 0.09448
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenBezoar HH RLHF SFT (SurgeGlobal/OpenBezoar-HH-RLHF-SFT)
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OpenBezoar HH RLHF SFT Parameters and Internals

Model Type 
text generation
Use Cases 
Limitations:
The model might not consistently show improved abilities to follow instructions, and it could respond inappropriately or get stuck in loops., This model is not aligned to human preferences and therefore it may generate harmful and uncensored content., Caution is urged against relying on this model for production or adjacent use-cases.
Supported Languages 
en ()
Training Details 
Data Sources:
Anthropic HH-RLHF Dataset
Data Volume:
First 100K examples
Methodology:
Supervised Fine-Tuning (SFT)
Model Architecture:
OpenLLaMA 3B v2
Input Output 
Input Format:
Alpaca prompt template
Performance Tips:
It is important to utilize the Alpaca prompt template in order to obtain best responses for instruction related tasks.
LLM NameOpenBezoar HH RLHF SFT
Repository 🤗https://huggingface.co/SurgeGlobal/OpenBezoar-HH-RLHF-SFT 
Base Model(s)  OpenBezoar SFT   SurgeGlobal/OpenBezoar-SFT
Model Size3b
Required VRAM6.8 GB
Updated2026-01-30
MaintainerSurgeGlobal
Model Typellama
Model Files  6.8 GB   6.8 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length2048
Model Max Length2048
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than SurgeGlobal/OpenBezoar-HH-RLHF-SFT.

Rank the OpenBezoar HH RLHF SFT Capabilities

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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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