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ReflectionCoder DS 33B by SenseLLM

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ReflectionCoder DS 33B is an open-source language model by SenseLLM. Features: 33b LLM, VRAM: 67GB, Context: 16K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.2.

  Arxiv:2405.17057   Autotrain compatible   Codegen   Conversational Dataset:sensellm/reflectionseq... Dataset:sensellm/reflectionseq...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SenseLLM/ReflectionCoder-DS-33B 

ReflectionCoder DS 33B Benchmarks

MMLU Pro: 2.24
GPQA: 3.24
MUSR: 0.46
BBH: 8.34
IFEval: 37.87 vs 88 (so35)-57%
MATH Lvl 5: 3.02
LLME Score: 0.20227
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)
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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
Updated2025-09-23
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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Rank the ReflectionCoder DS 33B 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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