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MFANN3bv0.16.11 by netcat420

 »  All LLMs  »  netcat420  »  MFANN3bv0.16.11   URL Share it on

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  Autotrain compatible   Dataset:netcat420/mfann   En   Endpoints compatible   Phi   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/MFANN3bv0.16.11 

MFANN3bv0.16.11 Benchmarks

LLME Score: 0.20756
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 🤗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

Best Alternatives to MFANN3bv0.16.11

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Context / RAM
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MFANN3bv0.24128K / 11.1 GB190
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MFANN3bv0.23128K / 11.1 GB110
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MFANN3bv0.2232K / 11.1 GB50
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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

🆘 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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Release v20241227
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