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Cinder Phi 2 Test 1 by Josephgflowers

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  Autotrain compatible   Custom code   Endpoints compatible   Gguf   Phi   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Josephgflowers/Cinder-Phi-2-Test-1 

Cinder Phi 2 Test 1 Benchmarks

ARC: 57.34 vs 96.7 (so35)-40.7%
HellaSwag: 72.6 vs 95.3 (gpt4)-23.8%
MMLU: 50.81 vs 88.3 (so35)-42.5%
TruthfulQA: 45.23 vs 59 (gpt4)-23.3%
WinoGrande: 73.8 vs 87.5 (gpt4)-15.7%
GSM8K: 42.53 vs 96.4 (so35)-55.9%
LLME Score: 0.19164
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cinder Phi 2 Test 1 (Josephgflowers/Cinder-Phi-2-Test-1)

Cinder Phi 2 Test 1 Parameters and Internals

Model Type 
AI chatbot
Additional Notes 
Cinder is designed to engage users in scientific and educational conversations and offer companionship.
Training Details 
Data Sources:
openhermes2.5, OpenOrca, Cinder character specific data
Release Notes 
Date:
2023-02-20
Notes:
Testing is going great. Version includes additional math, STEM, and reasoning data.
LLM NameCinder Phi 2 Test 1
Repository 🤗https://huggingface.co/Josephgflowers/Cinder-Phi-2-Test-1 
Model Size2.8b
Required VRAM11.1 GB
Updated2025-02-22
MaintainerJosephgflowers
Model Typephi
Model Files  5.6 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   1.1 GB: 3-of-3   0.0 GB   0.0 GB   0.0 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.38.0.dev0
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typefloat32

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Cinder Phi 2 V1 F16 Gguf2K / 5.6 GB1214
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Candle Phi 2 Old2K / 5.6 GB240
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Phi2 Platypus0K / 11.1 GB50
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Phi 2 4bit 64rank2K / 5.6 GB2190
Phi 2 Instruct V12K / 11.1 GB150
Phi 2 Nf4 Fp16 Upscaled2K / 5.6 GB560
MFANN3bv0.24128K / 11.1 GB160
Note: green Score (e.g. "73.2") means that the model is better than Josephgflowers/Cinder-Phi-2-Test-1.

Rank the Cinder Phi 2 Test 1 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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Release v20241227
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