Phi 3 Mini 4K Instruct Orca Math Word Problems 200K Model 16bit by third-intellect

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  4bit   Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-...   Conversational   En   Endpoints compatible   Instruct   Math   Mistral   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Phi 3 Mini 4K Instruct Orca Math Word Problems 200K Model 16bit Benchmarks

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 4K Instruct Orca Math Word Problems 200K Model 16bit (third-intellect/Phi-3-mini-4k-instruct-orca-math-word-problems-200k-model-16bit)

Phi 3 Mini 4K Instruct Orca Math Word Problems 200K Model 16bit Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NamePhi 3 Mini 4K Instruct Orca Math Word Problems 200K Model 16bit
Repository ๐Ÿค—https://huggingface.co/third-intellect/Phi-3-mini-4k-instruct-orca-math-word-problems-200k-model-16bit 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Model Size3.8b
Required VRAM7.6 GB
Updated2025-01-22
Maintainerthird-intellect
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
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 third-intellect/Phi-3-mini-4k-instruct-orca-math-word-problems-200k-model-16bit.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227