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Phi 2 Orange GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:rhysjones... Base model:rhysjones/phi-2-ora...   Custom code Dataset:argilla/ultrafeedback-...   Dataset:intel/orca dpo pairs   Dataset:ldjnr/capybara   Dataset:ldjnr/pure-dove   Dataset:ldjnr/verified-camel   Dataset:meta-math/metamathqa Dataset:migtissera/synthia-v1.... Dataset:open-orca/slimorca-ded...   Gptq   Phi-msft   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/phi-2-orange-GPTQ 

Phi 2 Orange GPTQ Benchmarks

LLME Score: 0.16092
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 2 Orange GPTQ (TheBloke/phi-2-orange-GPTQ)

Phi 2 Orange GPTQ Parameters and Internals

Model Type 
phi-msft
Additional Notes 
This model is presented with multiple GPTQ parameter permutations for varying hardware requirements and performance. Quantization is largely supported on GPUs, with some parameters available for both GPUs and CPUs.
Training Details 
Data Sources:
Open-Orca/SlimOrca-Dedup, migtissera/Synthia-v1.3, LDJnr/Verified-Camel, LDJnr/Pure-Dove, LDJnr/Capybara, meta-math/MetaMathQA, Intel/orca_dpo_pairs, argilla/ultrafeedback-binarized-preferences-cleaned
Methodology:
Two-step finetune of Phi-2 with additional DPO finetuning
Model Architecture:
Phi-2
Input Output 
Input Format:
{prompt}
Output Format:
Unknown
LLM NamePhi 2 Orange GPTQ
Repository 🤗https://huggingface.co/TheBloke/phi-2-orange-GPTQ 
Model NamePhi 2 Orange
Model CreatorRhys Jones
Base Model(s)  Phi 2 Orange   rhysjones/phi-2-orange
Model Size600.4m
Required VRAM1.8 GB
Updated2025-02-05
MaintainerTheBloke
Model Typephi-msft
Model Files  1.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitecturePhiForCausalLM
Licensemit
Model Max Length2048
Transformers Version4.37.0.dev0
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typebfloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/phi-2-orange-GPTQ.

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Release v20241227
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