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Codellama CodeLlama 7B Instruct Hf W4 G128 AWQ by abhinavkulkarni

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Codellama CodeLlama 7B Instruct Hf W4 G128 AWQ is an open-source language model by abhinavkulkarni. Features: 7b LLM, VRAM: 3.9GB, Context: 16K, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.09.

  Arxiv:2308.12950   Awq   Code   Codegen   Instruct   Llama   Llama2   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/abhinavkulkarni/codellama-CodeLlama-7b-Instruct-hf-w4-g128-awq 

Codellama CodeLlama 7B Instruct Hf W4 G128 AWQ Benchmarks

LLME Score: 0.08998
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codellama CodeLlama 7B Instruct Hf W4 G128 AWQ (abhinavkulkarni/codellama-CodeLlama-7b-Instruct-hf-w4-g128-awq)
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Codellama CodeLlama 7B Instruct Hf W4 G128 AWQ Parameters and Internals

Model Type 
generative, text
Additional Notes 
The model is a collection of pretrained and fine-tuned generative text models with AWQ quantization. It is a 4-bit 128 group size AWQ quantized model.
LLM NameCodellama CodeLlama 7B Instruct Hf W4 G128 AWQ
Repository 🤗https://huggingface.co/abhinavkulkarni/codellama-CodeLlama-7b-Instruct-hf-w4-g128-awq 
Model Size7b
Required VRAM3.9 GB
Updated2026-04-29
Maintainerabhinavkulkarni
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
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-7b-Instruct-hf-w4-g128-awq.

Rank the Codellama CodeLlama 7B 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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