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CodeLlama 70B Python GPTQ by TheBloke

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  Arxiv:2308.12950   4-bit   Autotrain compatible Base model:codellama/codellama... Base model:quantized:codellama...   Code   Codegen   Gptq   Llama   Llama2   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeLlama-70B-Python-GPTQ 

CodeLlama 70B Python GPTQ Benchmarks

LLME Score: 0.17583
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 70B Python GPTQ (TheBloke/CodeLlama-70B-Python-GPTQ)

CodeLlama 70B Python GPTQ Parameters and Internals

Model Type 
code
Use Cases 
Areas:
commercial, research
Applications:
code synthesis, code understanding, Python programming
Primary Use Cases:
Python code handling
Limitations:
English language only
Additional Notes 
Code Llama is a collection of pretrained and fine-tuned generative text models.
Training Details 
Context Length:
16000
Hardware Used:
A100-80GB
Model Architecture:
auto-regressive language model using an optimized transformer architecture
Input Output 
Input Format:
text
Output Format:
text
LLM NameCodeLlama 70B Python GPTQ
Repository 🤗https://huggingface.co/TheBloke/CodeLlama-70B-Python-GPTQ 
Model NameCodeLlama 70B Python
Model CreatorCode Llama
Base Model(s)  CodeLlama 70B Python Hf   codellama/CodeLlama-70b-Python-hf
Model Size70b
Required VRAM35.3 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Model Files  35.3 GB
Supported Languagescode
GPTQ QuantizationYes
Quantization Typegptq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32016
Torch Data Typebfloat16

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...odeLlama 70B Hf 4.0bpw H6 EXL216K / 35 GB111
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...70B Instruct Nf4 Fp16 Upscaled4K / 138.7 GB4092
...Llama 70B Instruct Hf 4bit MLX4K / 39.1 GB2425
...deLlama 70B Python Hf 4bit MLX4K / 39.1 GB1111
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeLlama-70B-Python-GPTQ.

Rank the CodeLlama 70B Python 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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Release v20241217
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