CodeLlama 7B Instruct GPTQ by TheBloke

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  Arxiv:2308.12950   4-bit   Autotrain compatible   Code   Codegen   Custom code   Gptq   Instruct   Llama   Llama2   Quantized   Region:us   Safetensors

CodeLlama 7B Instruct GPTQ Benchmarks

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 GPTQ (TheBloke/CodeLlama-7B-Instruct-GPTQ)

CodeLlama 7B Instruct GPTQ Parameters and Internals

Model Type 
llama
Training Details 
Hardware Used:
A100-80GB (TDP of 350-400W)
Model Architecture:
Auto-regressive language model using optimized transformer architecture.
LLM NameCodeLlama 7B Instruct GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GPTQ 
Model NameCodeLlama 7B Instruct
Model CreatorMeta
Base Model(s)  codellama/CodeLlama-7b-instruct-hf   codellama/CodeLlama-7b-instruct-hf
Model Size7b
Required VRAM3.9 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
Supported Languagescode
GPTQ QuantizationYes
Quantization Typegptq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.32.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32016
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeLlama-7B-Instruct-GPTQ.

Rank the CodeLlama 7B Instruct GPTQ 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