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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
Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GPTQ 

CodeLlama 7B Instruct GPTQ Benchmarks

LLME Score: 0.11895
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)
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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 🤗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
Updated2025-09-23
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

Best Alternatives to CodeLlama 7B Instruct GPTQ

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Context / RAM
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...a 7B Instruct GPTQ Calib Ja 1K16K / 3.9 GB60
...ruct Solidity Bnb 4bit Smashed16K / 4.2 GB60
...B Instruct Hf Bnb 4bit Smashed16K / 4.2 GB60
...eLlama 7B Instruct Hf 4bit MLX16K / 4.2 GB712
CodelLama7B Inst DPO 7K Mlx16K / 4.2 GB283
...6.7B Instruct 3.0bpw H6 EXL2 216K / 2.8 GB61
...6.7B Instruct 8.0bpw H8 EXL2 216K / 6.8 GB02
... 7B Instruct Nf4 Fp16 Upscaled16K / 13.5 GB50
CodeLlama 7B Instruct Fp1616K / 13.5 GB97
...Llama 7B Instruct Bf16 Sharded16K / 13.5 GB71
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 v20241124
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