Opencoderplus by openchat

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  Autotrain compatible   Codegen   En   Endpoints compatible   Gpt bigcode   Llama   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/openchat/opencoderplus 

Opencoderplus Benchmarks

Opencoderplus (openchat/opencoderplus)

Opencoderplus Parameters and Internals

Model Type 
text generation
Additional Notes 
The model requires concatenating tokens in a specific manner as part of the conversation template.
Training Details 
Data Sources:
~90K ShareGPT conversations, filtered down to ~6K high-quality conversations
Data Volume:
6K finely-tuned data
Methodology:
Fine-tuning
Context Length:
2048
Model Architecture:
LLaMA-based
Input Output 
Input Format:
Concatenation of tokens with specific end-of-turn token.
Accepted Modalities:
text
Output Format:
Tokenized text responses
Performance Tips:
Use bfloat16 for loading pretrained models.
LLM NameOpencoderplus
Repository ๐Ÿค—https://huggingface.co/openchat/opencoderplus 
Required VRAM31.8 GB
Updated2025-02-22
Maintaineropenchat
Model Typegpt_bigcode
Model Files  10.0 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   2.0 GB: 4-of-4
Supported Languagesen
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Transformers Version4.30.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size49153
Torch Data Typebfloat16
Activation Functiongelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than openchat/opencoderplus.

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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 v20241227