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HyperLlama2Test by HyperdustProtocol

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HyperLlama2Test is an open-source language model by HyperdustProtocol. Features: 13b LLM, VRAM: 26GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.13.

  4bit   Endpoints compatible   Gguf   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/HyperdustProtocol/HyperLlama2Test 

HyperLlama2Test Benchmarks

LLME Score: 0.13494
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
HyperLlama2Test (HyperdustProtocol/HyperLlama2Test)
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HyperLlama2Test Parameters and Internals

Additional Notes 
Test model not ready to use yet.
LLM NameHyperLlama2Test
Repository 🤗https://huggingface.co/HyperdustProtocol/HyperLlama2Test 
Model Size13b
Required VRAM26 GB
Updated2026-04-17
MaintainerHyperdustProtocol
Model Typellama
Model Files  13.5 GB   4.1 GB   5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   1.2 GB: 6-of-6
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than HyperdustProtocol/HyperLlama2Test.

Rank the HyperLlama2Test 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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