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MFANNv0.22.1 by netcat420

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MFANNv0.22.1 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   Deploy:azure   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/MFANNv0.22.1 

MFANNv0.22.1 Benchmarks

MMLU Pro: 26.03
GPQA: 3.47
MUSR: 4.65
BBH: 23.6
IFEval: 30.89 vs 88 (so35)-64.9%
MATH Lvl 5: 5.36
LLME Score: 0.20186
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MFANNv0.22.1 (netcat420/MFANNv0.22.1)
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MFANNv0.22.1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model aims to be an intelligent chain of thought reasoner and is still in pre-release.
Supported Languages 
en (English)
Release Notes 
Version:
v0.x beta
Notes:
Bugfix for MFANNv0.22 addressing issues with response generation and perplexity. Includes a switch to a SLERP merging routine for better performance over time. Caution: model is uncensored and in beta, may produce content not suitable for all audiences.
LLM NameMFANNv0.22.1
Repository 🤗https://huggingface.co/netcat420/MFANNv0.22.1 
Base Model(s)  netcat420/MFANN-llama3.1-abliterated-v2   netcat420/MFANN-llama3.1-abliterated-v2
Model Size8b
Required VRAM32.1 GB
Updated2026-03-26
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
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.2
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/MFANNv0.22.1.

Rank the MFANNv0.22.1 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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