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ReflectionCoder CL 34B by SenseLLM

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ReflectionCoder CL 34B is an open-source language model by SenseLLM. Features: 34b LLM, VRAM: 67.6GB, Context: 16K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.21.

  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-CL-34B 

ReflectionCoder CL 34B Benchmarks

MMLU Pro: 4.71
GPQA: 0.11
MUSR: 10.4
BBH: 14.26
IFEval: 40.08 vs 88 (so35)-54.5%
MATH Lvl 5: 3.32
LLME Score: 0.20556
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ReflectionCoder CL 34B (SenseLLM/ReflectionCoder-CL-34B)
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ReflectionCoder CL 34B 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 CL 34B
Repository 🤗https://huggingface.co/SenseLLM/ReflectionCoder-CL-34B 
Model Size34b
Required VRAM67.6 GB
Updated2025-11-19
MaintainerSenseLLM
Model Typellama
Model Files  5.0 GB: 1-of-14   4.9 GB: 2-of-14   4.8 GB: 3-of-14   4.9 GB: 4-of-14   4.8 GB: 5-of-14   4.9 GB: 6-of-14   4.8 GB: 7-of-14   4.9 GB: 8-of-14   4.8 GB: 9-of-14   4.9 GB: 10-of-14   4.8 GB: 11-of-14   4.9 GB: 12-of-14   4.8 GB: 13-of-14   4.4 GB: 14-of-14
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.40.1
Tokenizer ClassCodeLlamaTokenizer
Padding Token</s>
Vocabulary Size32011
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than SenseLLM/ReflectionCoder-CL-34B.

Rank the ReflectionCoder CL 34B 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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