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Codellama 7B Instruct GGUF by DevShubham

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  Arxiv:2308.12950 Base model:codellama/codellama... Base model:quantized:codellama...   Code   Codegen   Gguf   Instruct   Llama   Llama2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/DevShubham/Codellama-7B-Instruct-GGUF 

Codellama 7B Instruct GGUF Benchmarks

LLME Score: 0.19221
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codellama 7B Instruct GGUF (DevShubham/Codellama-7B-Instruct-GGUF)

Codellama 7B Instruct GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
commercial, research
Primary Use Cases:
code synthesis, understanding tasks
Limitations:
Use in languages other than English, Use in violation of applicable laws
Considerations:
Refer to the Responsible Use Guide
Additional Notes 
In aggregate, training all 9 Code Llama models required 400K GPU hours of computation, and the estimated total emissions were 65.3 tCO2eq, 100% offset by Meta’s sustainability program.
Training Details 
Data Sources:
same data as Llama 2 with different weights
Hardware Used:
A100-80GB (TDP of 350-400W)
Model Architecture:
auto-regressive language model using an optimized transformer architecture
LLM NameCodellama 7B Instruct GGUF
Repository 🤗https://huggingface.co/DevShubham/Codellama-7B-Instruct-GGUF 
Model NameCodeLlama 13B Instruct
Model CreatorMeta
Base Model(s)  CodeLlama 13B Instruct Hf   codellama/CodeLlama-13b-Instruct-hf
Model Size13b
Required VRAM2.8 GB
Updated2025-02-05
MaintainerDevShubham
Model Typellama
Instruction-BasedYes
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
Supported Languagescode
GGUF QuantizationYes
Quantization Typegguf
Generates CodeYes
Model ArchitectureAutoModel
Licensellama2

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Codellama 13B Instruct GGUF0K / 13.8 GB50
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...fast Codellama 13B Instruct Hf0K / 13 GB61

Rank the Codellama 7B Instruct GGUF 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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