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Phi 2 Orange by rhysjones

 »  All LLMs  »  rhysjones  »  Phi 2 Orange   URL Share it on

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  Autotrain compatible   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...   Endpoints compatible   Phi-msft   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rhysjones/phi-2-orange 

Phi 2 Orange Benchmarks

LLME Score: 0.13717
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 (rhysjones/phi-2-orange)
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Phi 2 Orange Parameters and Internals

Model Type 
text generation
Additional Notes 
An updated model is available at [rhysjones/phi-2-orange-v2](https://huggingface.co/rhysjones/phi-2-orange-v2) with higher evaluations.
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 fine-tuning: a collection of broad training data followed by DPO fine-tuning
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Output Format:
Markdown format for Python outputs
LLM NamePhi 2 Orange
Repository 🤗https://huggingface.co/rhysjones/phi-2-orange 
Model Size2.8b
Required VRAM5.6 GB
Updated2025-08-20
Maintainerrhysjones
Model Typephi-msft
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2
Model ArchitecturePhiForCausalLM
Licensemit
Model Max Length2048
Transformers Version4.37.0.dev0
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typebfloat16
Activation Functiongelu_new

Quantized Models of the Phi 2 Orange

Model
Likes
Downloads
VRAM
Phi 2 Orange GGUF205871 GB
Phi 2 Orange GPTQ4151 GB

Best Alternatives to Phi 2 Orange

Best Alternatives
Context / RAM
Downloads
Likes
MFANN3bv0.24128K / 11.1 GB50
MFANN3b128K / 11.1 GB50
MFANN3bv1.4128K / 11.1 GB50
MFANN Phigments Slerp V3.2128K / 5.6 GB50
MFANN3bv1.3128K / 11.1 GB50
MFANN3bv0.23128K / 11.1 GB90
MFANN3bv1.1128K / 11.1 GB60
MFANN3bv1.5128K / 11.1 GB60
MFANN Liminerity Slerp 4a128K / 5.6 GB70
MFANN3b Rebase128K / 11.1 GB70
Note: green Score (e.g. "73.2") means that the model is better than rhysjones/phi-2-orange.

Rank the Phi 2 Orange Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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