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MFANNv0.23 by netcat420

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MFANNv0.23 is an open-source language model by netcat420. Features: 8b LLM, VRAM: 32.1GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.2.

Base model:finetune:netcat420/... Base model:netcat420/mfann-lla...   Conversational   Dataset:netcat420/mfann   Endpoints compatible   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/MFANNv0.23 

MFANNv0.23 Benchmarks

LLME Score: 0.2041
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MFANNv0.23 (netcat420/MFANNv0.23)
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MFANNv0.23 Parameters and Internals

LLM NameMFANNv0.23
Repository 🤗https://huggingface.co/netcat420/MFANNv0.23 
Base Model(s)  netcat420/MFANN-llama3.1-abliterated-SLERP-v3.1   netcat420/MFANN-llama3.1-abliterated-SLERP-v3.1
Model Size8b
Required VRAM32.1 GB
Updated2026-04-22
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
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.46.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat32

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Cthulhu 8B V1.41048K / 16.1 GB129
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...xis Bookwriter Llama3.1 8B Sft1048K / 16.1 GB174
Zero Llama 3.1 8B Beta61048K / 16.1 GB41
Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANNv0.23.

Rank the MFANNv0.23 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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