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Granite 20B Functioncalling by ibm-granite

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  Arxiv:2407.00121   Autotrain compatible   Codegen   Conversational   Endpoints compatible   Gpt bigcode   Region:us   Safetensors   Sharded   Tensorflow

Granite 20B Functioncalling Benchmarks

LLME Score: 0.26141
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Granite 20B Functioncalling Parameters and Internals

LLM NameGranite 20B Functioncalling
Repository 🤗https://huggingface.co/ibm-granite/granite-20b-functioncalling 
Model Size20b
Required VRAM40 GB
Updated2024-10-12
Maintaineribm-granite
Model Typegpt_bigcode
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   4.9 GB: 8-of-9   0.7 GB: 9-of-9
Generates CodeYes
Model ArchitectureGPTBigCodeForCausalLM
Licenseapache-2.0
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
Torch Data Typebfloat16
Activation Functiongelu_pytorch_tanh
Granite 20B Functioncalling (ibm-granite/granite-20b-functioncalling)

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Granite 20B Code Instruct0K / 40 GB1020930
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Granite 20B Code Base R1.10K / 40 GB2612
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Granite 20B Code Base FP80K / 20.4 GB120
Granite 20B Code Base GGUF0K / 12.8 GB830
Note: green Score (e.g. "73.2") means that the model is better than ibm-granite/granite-20b-functioncalling.

Rank the Granite 20B Functioncalling Capabilities

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