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MFANNv0.11 by netcat420

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  Autotrain compatible   Dataset:netcat420/mfann   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/MFANNv0.11 

MFANNv0.11 Benchmarks

ARC: 62.12 vs 96.7 (so35)-35.8%
HellaSwag: 84.71 vs 95.3 (gpt4)-11.1%
MMLU: 65.83 vs 88.3 (so35)-25.4%
TruthfulQA: 58.63 vs 59 (gpt4)-0.6%
WinoGrande: 72.45 vs 87.5 (gpt4)-17.2%
GSM8K: 59.89 vs 96.4 (so35)-37.9%
LLME Score: 0.20002
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MFANNv0.11 (netcat420/MFANNv0.11)

MFANNv0.11 Parameters and Internals

Model Type 
text-classification
Additional Notes 
These are the full 32-bit unquantized weights.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
netcat420/MFANN
Data Volume:
Ever expanding dataset
Methodology:
Fine-tuned
Release Notes 
Version:
0.11
Date:
5/22/24
Notes:
Full 32-bit unquantized weights fine-tuned on the MFANN dataset.
LLM NameMFANNv0.11
Repository 🤗https://huggingface.co/netcat420/MFANNv0.11 
Model Size8b
Required VRAM32.1 GB
Updated2025-02-22
Maintainernetcat420
Model Typellama
Model Files  4.9 GB: 1-of-7   4.8 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   2.6 GB: 7-of-7
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANNv0.11.

Rank the MFANNv0.11 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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Release v20241227
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