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OpenBuddy Openbuddy Openllama 7B V12 Bf16 Bnb 4bit Smashed by PrunaAI

 »  All LLMs  »  PrunaAI  »  OpenBuddy Openbuddy Openllama 7B V12 Bf16 Bnb 4bit Smashed   URL Share it on

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  4-bit   4bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Llama   Pruna-ai   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/PrunaAI/OpenBuddy-openbuddy-openllama-7b-v12-bf16-bnb-4bit-smashed 

OpenBuddy Openbuddy Openllama 7B V12 Bf16 Bnb 4bit Smashed Benchmarks

LLME Score: 0.18127
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenBuddy Openbuddy Openllama 7B V12 Bf16 Bnb 4bit Smashed (PrunaAI/OpenBuddy-openbuddy-openllama-7b-v12-bf16-bnb-4bit-smashed)

OpenBuddy Openbuddy Openllama 7B V12 Bf16 Bnb 4bit Smashed Parameters and Internals

Model Type 
AI compression model
Use Cases 
Areas:
Research, Commercial Applications
Applications:
AI Model Compression
Primary Use Cases:
Compress existing AI models for faster and more efficient performance
Considerations:
Check efficiency in your own use-case environments for optimal results.
Additional Notes 
The model uses safetensors format.
Training Details 
Data Sources:
WikiText
Methodology:
Compressed with llm-int8
Hardware Used:
NVIDIA A100-PCIE-40GB
Input Output 
Input Format:
Inputs are tokenized text.
Accepted Modalities:
text
Output Format:
Generated text from processed inputs.
Performance Tips:
Run benchmark tests in your specific conditions to ensure best performance.
LLM NameOpenBuddy Openbuddy Openllama 7B V12 Bf16 Bnb 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/OpenBuddy-openbuddy-openllama-7b-v12-bf16-bnb-4bit-smashed 
Model Size7b
Required VRAM4.2 GB
Updated2025-01-24
MaintainerPrunaAI
Model Typellama
Model Files  4.2 GB
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.37.1
Vocabulary Size37120
Torch Data Typefloat16

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Rank the OpenBuddy Openbuddy Openllama 7B V12 Bf16 Bnb 4bit Smashed 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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Release v20241227
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