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Solidity Llama3 8B by andrijdavid

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  Autotrain compatible   Code   Conversational   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Solidity   Tensorflow
Model Card on HF 🤗: https://huggingface.co/andrijdavid/Solidity-Llama3-8b 

Solidity Llama3 8B Benchmarks

LLME Score: 0.19297
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Solidity Llama3 8B (andrijdavid/Solidity-Llama3-8b)

Solidity Llama3 8B Parameters and Internals

Model Type 
Code Completion
Use Cases 
Primary Use Cases:
Code completion and infilling tasks within Solidity code editors
Considerations:
Users should be aware of limitations based on training data and the inherent limitations of the technology.
Additional Notes 
Model is specifically designed for Solidity code completion and operates by filling-in-the-middle (FIM).
Training Details 
Methodology:
Fill-in-the-middle (FIM) objective
Input Output 
Input Format:
You provide a prefix and a suffix as context for code completion.
Accepted Modalities:
Code
Output Format:
Generated code completion
LLM NameSolidity Llama3 8B
Repository 🤗https://huggingface.co/andrijdavid/Solidity-Llama3-8b 
Model Size8b
Required VRAM32.3 GB
Updated2025-02-22
Maintainerandrijdavid
Model Typellama
Instruction-BasedYes
Model Files  2.1 GB: 1-of-17   1.9 GB: 2-of-17   2.0 GB: 3-of-17   2.0 GB: 4-of-17   2.0 GB: 5-of-17   1.9 GB: 6-of-17   2.0 GB: 7-of-17   2.0 GB: 8-of-17   2.0 GB: 9-of-17   1.9 GB: 10-of-17   2.0 GB: 11-of-17   2.0 GB: 12-of-17   2.0 GB: 13-of-17   1.9 GB: 14-of-17   2.0 GB: 15-of-17   0.5 GB: 16-of-17   2.1 GB: 17-of-17
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than andrijdavid/Solidity-Llama3-8b.

Rank the Solidity Llama3 8B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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