CodeLlama 70B Hf GGUF by TheBloke

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  Arxiv:2308.12950 Base model:codellama/codellama... Base model:quantized:codellama...   Code   Codegen   Gguf   Llama   Llama2   Quantized   Region:us

CodeLlama 70B Hf GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 70B Hf GGUF (TheBloke/CodeLlama-70B-hf-GGUF)

CodeLlama 70B Hf GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
commercial, research
Applications:
code synthesis, code understanding
Primary Use Cases:
code completion
Limitations:
Use in languages other than English
Considerations:
Testing conducted in English, may not cover all scenarios
Additional Notes 
Code Llama is an auto-regressive language model that uses an optimized transformer architecture. It was fine-tuned with up to 16k tokens and supports up to 100k tokens at inference time.
Training Details 
Context Length:
100000
Hardware Used:
Meta’s Research Super Cluster
Model Architecture:
optimized transformer architecture
Responsible Ai Considerations 
Transparency:
Please see the Responsible Use Guide available at https://ai.meta.com/llama/responsible-use-guide.
Accountability:
The developer is accountable for ensuring model outputs are in compliance with laws and regulations.
Mitigation Strategies:
Perform safety testing and tuning tailored to specific applications.
LLM NameCodeLlama 70B Hf GGUF
Repository πŸ€—https://huggingface.co/TheBloke/CodeLlama-70B-hf-GGUF 
Model NameCodeLlama 70B
Model CreatorCode Llama
Base Model(s)  CodeLlama 70B Hf   codellama/CodeLlama-70b-hf
Model Size70b
Required VRAM25.5 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Model Files  25.5 GB   36.1 GB   33.3 GB   29.9 GB   38.9 GB   41.4 GB   39.2 GB   47.5 GB   48.8 GB   47.5 GB
Supported Languagescode
GGUF QuantizationYes
Quantization Typegguf
Generates CodeYes
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeLlama-70B-hf-GGUF.

Rank the CodeLlama 70B Hf 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217