Wavecoder Ultra 6.7B by microsoft

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  Arxiv:2312.14187   Autotrain compatible   Code   Codegen   Conversational   Dataset:humaneval   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Wavecoder Ultra 6.7B Benchmarks

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

Wavecoder Ultra 6.7B Parameters and Internals

LLM NameWavecoder Ultra 6.7B
Repository 🤗https://huggingface.co/microsoft/wavecoder-ultra-6.7b 
Model Size6.7b
Required VRAM27 GB
Updated2024-09-07
Maintainermicrosoft
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size32023
Torch Data Typefloat32
Wavecoder Ultra 6.7B (microsoft/wavecoder-ultra-6.7b)

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Note: green Score (e.g. "73.2") means that the model is better than microsoft/wavecoder-ultra-6.7b.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803