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MFANNv0.8 by netcat420

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  Autotrain compatible   Dataset:netcat420/mfann   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/MFANNv0.8 

MFANNv0.8 Benchmarks

ARC: 66.72 vs 96.7 (so35)-31%
HellaSwag: 88.89 vs 95.3 (gpt4)-6.7%
MMLU: 66.63 vs 88.3 (so35)-24.5%
TruthfulQA: 66.9 vs 59 (gpt4)13.4%
WinoGrande: 76.24 vs 87.5 (gpt4)-12.9%
GSM8K: 52.77 vs 96.4 (so35)-45.3%
LLME Score: 0.19408
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MFANNv0.8 (netcat420/MFANNv0.8)

MFANNv0.8 Parameters and Internals

Model Type 
text-classification
Additional Notes 
The model is ever expanding and its dataset is being updated.
Supported Languages 
en (full)
Training Details 
Data Sources:
netcat420/MFANN
Methodology:
fine-tuned on the MFANN dataset
Training Time:
as it stands on 5/5/2024
LLM NameMFANNv0.8
Repository 🤗https://huggingface.co/netcat420/MFANNv0.8 
Model Size8b
Required VRAM32.1 GB
Updated2025-02-22
Maintainernetcat420
Model Typellama
Instruction-BasedYes
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 Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANNv0.8.

Rank the MFANNv0.8 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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