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Starcoder2 15B Finetuned Drake by JShep-tri

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  Autotrain compatible   Endpoints compatible   Finetuned   Region:us   Safetensors   Sharded   Starcoder2   Tensorflow

Starcoder2 15B Finetuned Drake Benchmarks

LLME Score: 0.21167
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Starcoder2 15B Finetuned Drake Parameters and Internals

LLM NameStarcoder2 15B Finetuned Drake
Repository 🤗https://huggingface.co/JShep-tri/starcoder2-15b-finetuned-drake 
Model Size15b
Required VRAM63.8 GB
Updated2024-11-05
MaintainerJShep-tri
Model Typestarcoder2
Model Files  4.6 GB: 1-of-14   4.6 GB: 2-of-14   4.6 GB: 3-of-14   4.6 GB: 4-of-14   4.6 GB: 5-of-14   4.6 GB: 6-of-14   4.6 GB: 7-of-14   4.6 GB: 8-of-14   4.6 GB: 9-of-14   4.6 GB: 10-of-14   4.6 GB: 11-of-14   4.6 GB: 12-of-14   4.6 GB: 13-of-14   4.0 GB: 14-of-14
Model ArchitectureStarcoder2ForCausalLM
Licensebigcode-openrail-m
Context Length16384
Model Max Length16384
Transformers Version4.41.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typefloat32
Starcoder2 15B Finetuned Drake (JShep-tri/starcoder2-15b-finetuned-drake)

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Starcoder2 15B Instruct16K / 31.9 GB236
Note: green Score (e.g. "73.2") means that the model is better than JShep-tri/starcoder2-15b-finetuned-drake.

Rank the Starcoder2 15B Finetuned Drake Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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