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AutoCoder S 6.7B by Bin12345

 »  All LLMs  »  Bin12345  »  AutoCoder S 6.7B   URL Share it on

  51   
  Arxiv:2405.14906   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Bin12345/AutoCoder_S_6.7B 

AutoCoder S 6.7B Benchmarks

LLME Score: 0.19568
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AutoCoder S 6.7B (Bin12345/AutoCoder_S_6.7B)

AutoCoder S 6.7B Parameters and Internals

Model Type 
Code Generation
LLM NameAutoCoder S 6.7B
Repository 🤗https://huggingface.co/Bin12345/AutoCoder_S_6.7B 
Model Size6.7b
Required VRAM13.5 GB
Updated2025-02-22
MaintainerBin12345
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typebfloat16

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...s Coder6.7b Reflct Adamw Iter216K / 13.5 GB4800
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...ir8 Ds Coder6.7b Rmsprop Iter416K / 13.5 GB1830
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...ir8 Ds Coder6.7b Rmsprop Iter316K / 13.5 GB1650
...s Coder6.7b Reflct Adamw Iter416K / 13.5 GB2730
Note: green Score (e.g. "73.2") means that the model is better than Bin12345/AutoCoder_S_6.7B.

Rank the AutoCoder S 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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