MFANN3bv0.16.11 by netcat420

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  Autotrain compatible   Dataset:netcat420/mfann   En   Endpoints compatible   Phi   Region:us   Safetensors   Sharded   Tensorflow

MFANN3bv0.16.11 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MFANN3bv0.16.11 (netcat420/MFANN3bv0.16.11)

MFANN3bv0.16.11 Parameters and Internals

Model Type 
text generation
Additional Notes 
Task vector optimization approach was adjusted due to slightly higher training loss, leading to a merging and retraining plan to achieve desired performance with reduced parameters.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
netcat420/MFANN
Methodology:
Task vector optimization using DARE-TIES to reduce parameters, followed by a merging strategy with the last version using TIES alone.
Training Time:
12000 steps
LLM NameMFANN3bv0.16.11
Repository ๐Ÿค—https://huggingface.co/netcat420/MFANN3bv0.16.11 
Model Size2.8b
Required VRAM11.1 GB
Updated2025-01-20
Maintainernetcat420
Model Typephi
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   1.1 GB: 3-of-3
Supported Languagesen
Model ArchitecturePhiForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Vocabulary Size51200
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANN3bv0.16.11.

Rank the MFANN3bv0.16.11 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 v20241227