CodeLlama 7B KStack Clean by JetBrains

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/codellam...   Code   Codegen   Dataset:jetbrains/kstack-clean   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

CodeLlama 7B KStack Clean 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 KStack Clean (JetBrains/CodeLlama-7B-KStack-clean)

CodeLlama 7B KStack Clean Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
Potential outputs cannot be predicted in advance., Model may produce inaccurate or objectionable responses to user prompts., Fine-tuned on a specific data format (Kotlin tasks); deviation can lead to undesirable responses.
Training Details 
Data Sources:
KStack-clean, KStack
Data Volume:
23M tokens
Methodology:
fine-tuning
Hardware Used:
one A100 GPU
Responsible Ai Considerations 
Mitigation Strategies:
Developers should perform safety testing and tuning tailored to their specific applications of the model.
LLM NameCodeLlama 7B KStack Clean
Repository ๐Ÿค—https://huggingface.co/JetBrains/CodeLlama-7B-KStack-clean 
Base Model(s)  CodeLlama 7B Hf   meta-llama/CodeLlama-7b-hf
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
MaintainerJetBrains
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.39.2
Tokenizer ClassCodeLlamaTokenizer
Vocabulary Size32016
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than JetBrains/CodeLlama-7B-KStack-clean.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227