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ReflectionCoder DS 6.7B by SenseLLM

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ReflectionCoder DS 6.7B is an open-source language model by SenseLLM. Features: 6.7b LLM, VRAM: 13.5GB, Context: 16K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.14.

  Arxiv:2405.17057   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-6.7B 

ReflectionCoder DS 6.7B Benchmarks

LLME Score: 0.13711
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ReflectionCoder DS 6.7B (SenseLLM/ReflectionCoder-DS-6.7B)
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ReflectionCoder DS 6.7B 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 6.7B
Repository 🤗https://huggingface.co/SenseLLM/ReflectionCoder-DS-6.7B 
Model Size6.7b
Required VRAM13.5 GB
Updated2026-03-11
MaintainerSenseLLM
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
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

Best Alternatives to ReflectionCoder DS 6.7B

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Context / RAM
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Deepseek Coder 6.7B Base16K / 13.5 GB57662122
Speechless Coder Ds 6.7B16K / 13.5 GB11107
...s Coder6.7b Reflct Adamw Iter116K / 13.5 GB4750
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB950
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB1100
...r6.7b Pos Reflct Rmsprop Iter116K / 13.5 GB870
...ir4 Ds Coder6.7b Rmsprop Iter116K / 13.5 GB430
...r6.7b Pos Reflct Rmsprop Iter116K / 13.5 GB900
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB620
Ds Coder6.7b Rmsprop Iter116K / 13.5 GB670
Note: green Score (e.g. "73.2") means that the model is better than SenseLLM/ReflectionCoder-DS-6.7B.

Rank the ReflectionCoder DS 6.7B 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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