Damysus 2.7B Chat GGUF by prince-canuma

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  Autotrain compatible   Base model:microsoft/phi-2 Base model:quantized:microsoft...   Conversational   Custom code   Dataset:open-orca/slimorca   Dataset:prince-canuma/tinyorca   En   Endpoints compatible   Gguf   Instruct   Model-index   Phi   Phi-2   Quantized   Region:us

Damysus 2.7B Chat GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Damysus 2.7B Chat GGUF Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
Answer synthesizer, Summarizer, Query rewriter model
Limitations:
Generate Inaccurate Code and Facts, Limited Scope for code, Language Limitations
Considerations:
This model is primarily designed for standard English; informal or non-standard English may pose comprehension challenges.
Additional Notes 
Damysus-2.7B-Chat is evaluated on terms of reasoning and general knowledge across several benchmarks.
Training Details 
Data Sources:
Open-Orca/SlimOrca, prince-canuma/TinyOrca
Methodology:
Convert dataset to chatML format, remove all samples with more than 2048 tokens (Phi-2 context size), mask instructions (System and User) at training time.
Context Length:
2048
LLM NameDamysus 2.7B Chat GGUF
Repository ๐Ÿค—https://huggingface.co/prince-canuma/Damysus-2.7B-Chat-GGUF 
Base Model(s)  Phi 2   microsoft/phi-2
Model Size2.7b
Required VRAM1.7 GB
Updated2025-06-09
Maintainerprince-canuma
Model Typephi
Model Files  1.7 GB   3.0 GB   5.5 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.38.0.dev0
Tokenizer ClassCodeGenTokenizer
Padding Token<|im_end|>
Vocabulary Size50297
Torch Data Typefloat32
Damysus 2.7B Chat GGUF (prince-canuma/Damysus-2.7B-Chat-GGUF)

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Note: green Score (e.g. "73.2") means that the model is better than prince-canuma/Damysus-2.7B-Chat-GGUF.

Rank the Damysus 2.7B Chat 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124