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Aaditya Llama3 OpenBioLLM 8B AWQ 4bit Smashed by PrunaAI

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Aaditya Llama3 OpenBioLLM 8B AWQ 4bit Smashed is an open-source language model by PrunaAI. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, Quantized, LLM Explorer Score: 0.14.

  4-bit   4bit   Awq Base model:aaditya/llama3-open... Base model:quantized:aaditya/l...   Llama   Pruna-ai   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/PrunaAI/aaditya-Llama3-OpenBioLLM-8B-AWQ-4bit-smashed 

Aaditya Llama3 OpenBioLLM 8B AWQ 4bit Smashed Benchmarks

LLME Score: 0.14059
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aaditya Llama3 OpenBioLLM 8B AWQ 4bit Smashed (PrunaAI/aaditya-Llama3-OpenBioLLM-8B-AWQ-4bit-smashed)
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Aaditya Llama3 OpenBioLLM 8B AWQ 4bit Smashed Parameters and Internals

Model Type 
compression
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Efficient AI model deployment
Considerations:
Efficiency tested under specific hardware and configurations. Recommend testing in your own environment for validation.
Input Output 
Accepted Modalities:
text
Performance Tips:
Run the efficiency tests in application-specific settings for accurate measurements.
LLM NameAaditya Llama3 OpenBioLLM 8B AWQ 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/aaditya-Llama3-OpenBioLLM-8B-AWQ-4bit-smashed 
Base Model(s)  Llama3 OpenBioLLM 8B   aaditya/Llama3-OpenBioLLM-8B
Model Size8b
Required VRAM5.8 GB
Updated2025-10-07
MaintainerPrunaAI
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/aaditya-Llama3-OpenBioLLM-8B-AWQ-4bit-smashed.

Rank the Aaditya Llama3 OpenBioLLM 8B AWQ 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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