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Codellama CodeLlama 13B Instruct Hf W4 G128 AWQ by abhinavkulkarni

 »  All LLMs  »  abhinavkulkarni  »  Codellama CodeLlama 13B Instruct Hf W4 G128 AWQ   URL Share it on

  33   
  Arxiv:2308.12950   Autotrain compatible   Awq   Code   Codegen   Instruct   Llama   Llama2   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/abhinavkulkarni/codellama-CodeLlama-13b-Instruct-hf-w4-g128-awq 

Codellama CodeLlama 13B Instruct Hf W4 G128 AWQ Benchmarks

LLME Score: 0.13466
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codellama CodeLlama 13B Instruct Hf W4 G128 AWQ (abhinavkulkarni/codellama-CodeLlama-13b-Instruct-hf-w4-g128-awq)

Codellama CodeLlama 13B Instruct Hf W4 G128 AWQ Parameters and Internals

Model Type 
generative, text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
The model uses AWQ quantization for efficiency and supports CUDA and Docker configurations.
Input Output 
Input Format:
text prompt
Accepted Modalities:
text
Output Format:
text generation
LLM NameCodellama CodeLlama 13B Instruct Hf W4 G128 AWQ
Repository 🤗https://huggingface.co/abhinavkulkarni/codellama-CodeLlama-13b-Instruct-hf-w4-g128-awq 
Model Size13b
Required VRAM7.2 GB
Updated2024-12-22
Maintainerabhinavkulkarni
Model Typellama
Instruction-BasedYes
Model Files  3.2 GB: 1-of-3   3.2 GB: 2-of-3   0.8 GB: 3-of-3   3.2 GB: 1-of-3   3.2 GB: 2-of-3   0.8 GB: 3-of-3
Supported Languagescode
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.33.1
Tokenizer ClassCodeLlamaTokenizer
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 abhinavkulkarni/codellama-CodeLlama-13b-Instruct-hf-w4-g128-awq.

Rank the Codellama CodeLlama 13B Instruct Hf W4 G128 AWQ 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
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