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Cinder Phi 2 V1 F16 Gguf by Josephgflowers

 »  All LLMs  »  Josephgflowers  »  Cinder Phi 2 V1 F16 Gguf   URL Share it on

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  Merged Model   Autotrain compatible   Custom code   Endpoints compatible   Fp16   Gguf   Model-index   Phi   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Josephgflowers/Cinder-Phi-2-V1-F16-gguf 

Cinder Phi 2 V1 F16 Gguf Benchmarks

MMLU Pro: 12.9
GPQA: 4.25
MUSR: 1.97
BBH: 22.45
IFEval: 23.57 vs 88 (so35)-73.2%
ARC: 58.28 vs 96.7 (so35)-39.7%
HellaSwag: 74.04 vs 95.3 (gpt4)-22.3%
MMLU: 54.46 vs 88.3 (so35)-38.3%
TruthfulQA: 44.5 vs 59 (gpt4)-24.6%
WinoGrande: 74.66 vs 87.5 (gpt4)-14.7%
GSM8K: 47.23 vs 96.4 (so35)-51%
MATH Lvl 5: 2.42
LLME Score: 0.22268
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 V1 F16 Gguf (Josephgflowers/Cinder-Phi-2-V1-F16-gguf)

Cinder Phi 2 V1 F16 Gguf Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is trained with data up to October 2023, focusing on enhanced math, STEM, and reasoning.
LLM NameCinder Phi 2 V1 F16 Gguf
Repository 🤗https://huggingface.co/Josephgflowers/Cinder-Phi-2-V1-F16-gguf 
Merged ModelYes
Model Size2.8b
Required VRAM5.6 GB
Updated2025-02-22
MaintainerJosephgflowers
Model Typephi
Model Files  5.6 GB   5.0 GB: 1-of-2   0.6 GB: 2-of-2   0.0 GB   0.0 GB   0.0 GB
GGUF QuantizationYes
Quantization Typefp16|gguf
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.38.0.dev0
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Josephgflowers/Cinder-Phi-2-V1-F16-gguf.

Rank the Cinder Phi 2 V1 F16 Gguf 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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