Quantized Phi 3 Mini 4K by mindchain

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Conversational   Custom code   Endpoints compatible   Instruct   Phi3   Region:us   Safetensors

Quantized Phi 3 Mini 4K Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Quantized Phi 3 Mini 4K (mindchain/quantized-phi-3-mini-4k)

Quantized Phi 3 Mini 4K Parameters and Internals

LLM NameQuantized Phi 3 Mini 4K
Repository ๐Ÿค—https://huggingface.co/mindchain/quantized-phi-3-mini-4k 
Model Size2.1b
Required VRAM2.3 GB
Updated2025-02-03
Maintainermindchain
Model Typephi3
Instruction-BasedYes
Model Files  2.3 GB
Model ArchitecturePhi3ForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than mindchain/quantized-phi-3-mini-4k.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227