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Ramgpt 13B AWQ Gemm by ramgpt

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Model Card on HF 🤗: https://huggingface.co/ramgpt/ramgpt-13b-awq-gemm 

Ramgpt 13B AWQ Gemm Benchmarks

LLME Score: 0.12086
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ramgpt 13B AWQ Gemm (ramgpt/ramgpt-13b-awq-gemm)
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Ramgpt 13B AWQ Gemm Parameters and Internals

Model Type 
question-answering
Use Cases 
Primary Use Cases:
Advanced AI Computations, Efficient Machine Learning Operations, Data-Intensive Applications
Additional Notes 
The ramgpt-13b-awq-gemm model is continuously evolving, incorporating cutting-edge advancements in AI and quantization techniques for enhanced performance.
Supported Languages 
en (proficient)
LLM NameRamgpt 13B AWQ Gemm
Repository 🤗https://huggingface.co/ramgpt/ramgpt-13b-awq-gemm 
Model Size13b
Required VRAM7.2 GB
Updated2025-09-23
Maintainerramgpt
Model Typellama
Model Files  7.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32016
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ramgpt/ramgpt-13b-awq-gemm.

Rank the Ramgpt 13B AWQ Gemm 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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