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LeetCodeWizard 13B V1.1a by Nan-Do

 »  All LLMs  »  Nan-Do  »  LeetCodeWizard 13B V1.1a   URL Share it on

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  Autotrain compatible   Cp   En   Endpoints compatible   Leetcode   Llama   Problem solving   Python   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Nan-Do/LeetCodeWizard_13B_v1.1a 

LeetCodeWizard 13B V1.1a Benchmarks

LLME Score: 0.13865
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LeetCodeWizard 13B V1.1a (Nan-Do/LeetCodeWizard_13B_v1.1a)

LeetCodeWizard 13B V1.1a Parameters and Internals

Model Type 
text generation, problem solving
Use Cases 
Areas:
Research, Commercial applications
Applications:
Programming Interviews, Coding Challenges
Primary Use Cases:
Solving Leetcode problems, Coding interviews preparation
Additional Notes 
The model uses the alpaca instruction/response prompt style.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
Leetcode problems
Methodology:
fine-tuning of WizardCoder-Python-13B
Input Output 
Accepted Modalities:
text
Output Format:
textual responses
LLM NameLeetCodeWizard 13B V1.1a
Repository 🤗https://huggingface.co/Nan-Do/LeetCodeWizard_13B_v1.1a 
Model Size13b
Required VRAM26 GB
Updated2025-01-23
MaintainerNan-Do
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.35.0.dev0
Tokenizer ClassCodeLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32005
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Nan-Do/LeetCodeWizard_13B_v1.1a.

Rank the LeetCodeWizard 13B V1.1a 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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Release v20241227
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