ReflectionCoder DS 33B by SenseLLM

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  Arxiv:2405.17057   Autotrain compatible   Codegen   Conversational Dataset:sensellm/reflectionseq... Dataset:sensellm/reflectionseq...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

ReflectionCoder DS 33B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ReflectionCoder DS 33B (SenseLLM/ReflectionCoder-DS-33B)

ReflectionCoder DS 33B Parameters and Internals

Model Type 
code generation
Use Cases 
Areas:
research
Applications:
code optimization, automatic code generation
Additional Notes 
ReflectionCoder effectively leverages reflection sequences constructed by integrating compiler feedback to improve code generation.
Supported Languages 
en (high)
Input Output 
Input Format:
<|user|>...<|assistant|>...<|endofmessage|>
Accepted Modalities:
text
Output Format:
<|text|>...<|endofblock|>
LLM NameReflectionCoder DS 33B
Repository 🤗https://huggingface.co/SenseLLM/ReflectionCoder-DS-33B 
Model Size33b
Required VRAM67 GB
Updated2024-12-26
MaintainerSenseLLM
Model Typellama
Model Files  4.9 GB: 1-of-14   4.8 GB: 2-of-14   4.8 GB: 3-of-14   4.8 GB: 4-of-14   4.8 GB: 5-of-14   4.8 GB: 6-of-14   4.8 GB: 7-of-14   4.8 GB: 8-of-14   4.8 GB: 9-of-14   4.8 GB: 10-of-14   4.8 GB: 11-of-14   4.8 GB: 12-of-14   4.8 GB: 13-of-14   4.5 GB: 14-of-14
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size32029
Torch Data Typebfloat16

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227