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GetCode Slerp by mavihsrr

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  Merged Model   Autotrain compatible   Codegen Codellama/codellama-7b-instruc...   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Salesforce/codegen25-7b-multi   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mavihsrr/GetCode-slerp 

GetCode Slerp Benchmarks

ARC: 26.54 vs 96.7 (so35)-72.6%
HellaSwag: 26.2 vs 95.3 (gpt4)-72.5%
MMLU: 23.12 vs 88.3 (so35)-73.8%
TruthfulQA: 49.78 vs 59 (gpt4)-15.6%
WinoGrande: 51.78 vs 87.5 (gpt4)-40.8%
LLME Score: 0.23671
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GetCode Slerp (mavihsrr/GetCode-slerp)

GetCode Slerp Parameters and Internals

Model Type 
merge, mergekit, lazymergekit
LLM NameGetCode Slerp
Repository 🤗https://huggingface.co/mavihsrr/GetCode-slerp 
Merged ModelYes
Model Size7b
Required VRAM13.6 GB
Updated2024-12-22
Maintainermavihsrr
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-7   2.0 GB: 2-of-7   2.0 GB: 3-of-7   2.0 GB: 4-of-7   1.9 GB: 5-of-7   2.0 GB: 6-of-7   1.7 GB: 7-of-7
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.35.2
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 mavihsrr/GetCode-slerp.

Rank the GetCode Slerp 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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