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Phi 3 Mini 128K Function Calling by ivilson

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Model Card on HF 🤗: https://huggingface.co/ivilson/phi-3-mini-128k-function-calling 

Phi 3 Mini 128K Function Calling Benchmarks

LLME Score: 0.15205
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Mini 128K Function Calling (ivilson/phi-3-mini-128k-function-calling)
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Phi 3 Mini 128K Function Calling Parameters and Internals

LLM NamePhi 3 Mini 128K Function Calling
Repository 🤗https://huggingface.co/ivilson/phi-3-mini-128k-function-calling 
Model Size3.8b
Required VRAM7.6 GB
Updated2025-08-02
Maintainerivilson
Model Typephi3
Instruction-BasedYes
Model Files  1.0 GB: 1-of-9   0.9 GB: 2-of-9   0.9 GB: 3-of-9   0.9 GB: 4-of-9   0.9 GB: 5-of-9   0.9 GB: 6-of-9   0.9 GB: 7-of-9   0.9 GB: 8-of-9   0.3 GB: 9-of-9
Model ArchitecturePhi3ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ivilson/phi-3-mini-128k-function-calling.

Rank the Phi 3 Mini 128K Function Calling Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Release v20241124
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