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MergeLlama 7B by codys12

 »  All LLMs  »  codys12  »  MergeLlama 7B   URL Share it on

  7   
  Arxiv:1910.09700   Adapter Base model:adapter:codellama/c... Base model:codellama/codellama...   Codegen   Dataset:codys12/mergellama   Finetuned   Llama   Lora   Peft   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/codys12/MergeLlama-7b 

MergeLlama 7B Benchmarks

LLME Score: 0.14379
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MergeLlama 7B (codys12/MergeLlama-7b)

MergeLlama 7B Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
Automated merge conflict resolution
Considerations:
Users should be aware of the risks, biases and limitations of the model.
Additional Notes 
More information needed regarding bias, risks, limitations, and evaluation metrics.
Training Details 
Data Sources:
codys12/MergeLlama
Methodology:
Peft finetune of CodeLlama-7b
Input Output 
Input Format:
Conflicting code sections separated by '<<<<<<< Current change ======= Incoming change >>>>>>>'
Accepted Modalities:
text
Output Format:
Resolved code
Performance Tips:
Chain multiple conflicts/resolutions for improved context
LLM NameMergeLlama 7B
Repository 🤗https://huggingface.co/codys12/MergeLlama-7b 
Base Model(s)  CodeLlama 7B Hf   codellama/CodeLlama-7b-hf
Model Size7b
Required VRAM13.6 GB
Updated2024-12-22
Maintainercodys12
Model Files  0.1 GB   10.0 GB: 1-of-2   3.6 GB: 2-of-2
Generates CodeYes
Model ArchitectureAdapter
Licensellama2
Is Biasednone
Tokenizer ClassCodeLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than codys12/MergeLlama-7b.

Rank the MergeLlama 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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