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Dj Phi 3 3.8B 16bit by deepanshdj

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  16bit   Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-...   Conversational   En   Endpoints compatible   Instruct   Mistral   Phi   Phi3   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl

Dj Phi 3 3.8B 16bit Benchmarks

LLME Score: 0.21852
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dj Phi 3 3.8B 16bit Parameters and Internals

LLM NameDj Phi 3 3.8B 16bit
Repository 🤗https://huggingface.co/deepanshdj/dj-phi-3_3.8b-16bit 
Base Model(s)  Phi 3 Mini 4K Instruct   unsloth/Phi-3-mini-4k-instruct
Model Size3.8b
Required VRAM7.6 GB
Updated2024-09-06
Maintainerdeepanshdj
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2   5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Quantization Type16bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16
Dj Phi 3 3.8B 16bit (deepanshdj/dj-phi-3_3.8b-16bit)

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Note: green Score (e.g. "73.2") means that the model is better than deepanshdj/dj-phi-3_3.8b-16bit.

Rank the Dj Phi 3 3.8B 16bit Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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