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Granite 8B Code Instruct GGUF Quantized by akparmar

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  Autotrain compatible   Conversational   Endpoints compatible   Gguf   Instruct   Llama   Q4   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/akparmar/granite-8b-code-instruct-GGUF-quantized 

Granite 8B Code Instruct GGUF Quantized Benchmarks

LLME Score: 0.18409
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Granite 8B Code Instruct GGUF Quantized (akparmar/granite-8b-code-instruct-GGUF-quantized)

Granite 8B Code Instruct GGUF Quantized Parameters and Internals

LLM NameGranite 8B Code Instruct GGUF Quantized
Repository 🤗https://huggingface.co/akparmar/granite-8b-code-instruct-GGUF-quantized 
Model Size8b
Required VRAM4.9 GB
Updated2025-02-22
Maintainerakparmar
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.41.0.dev0
Vocabulary Size49152
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than akparmar/granite-8b-code-instruct-GGUF-quantized.

Rank the Granite 8B Code Instruct GGUF Quantized 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 v20241227
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