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Phi 4K Gsm8k by acbdkk

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  4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/acbdkk/phi-4k-gsm8k 

Phi 4K Gsm8k Benchmarks

LLME Score: 0.19811
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 4K Gsm8k (acbdkk/phi-4k-gsm8k)

Phi 4K Gsm8k Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
Finetuned from model: unsloth/phi-3-mini-4k-instruct-bnb-4bit
Supported Languages 
en (proficient)
Training Details 
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library
LLM NamePhi 4K Gsm8k
Repository 🤗https://huggingface.co/acbdkk/phi-4k-gsm8k 
Base Model(s)  unsloth/phi-3-mini-4k-instruct-bnb-4bit   unsloth/phi-3-mini-4k-instruct-bnb-4bit
Model Size2.1b
Required VRAM2.3 GB
Updated2025-02-05
Maintaineracbdkk
Model Typemistral
Instruction-BasedYes
Model Files  2.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than acbdkk/phi-4k-gsm8k.

Rank the Phi 4K Gsm8k Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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