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MFANNv0.21.10 by netcat420

 »  All LLMs  »  netcat420  »  MFANNv0.21.10   URL Share it on

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible Base model:mlabonne/meta-llama... Base model:netcat420/mfannv0.1... Base model:netcat420/mfannv0.1... Base model:netcat420/mfannv0.2... Base model:netcat420/mfannv0.2... Base model:netcat420/mfannv0.2...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/MFANNv0.21.10 

MFANNv0.21.10 Benchmarks

LLME Score: 0.19579
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MFANNv0.21.10 (netcat420/MFANNv0.21.10)

MFANNv0.21.10 Parameters and Internals

Model Type 
merged model
Additional Notes 
This model configuration features a merge of several models using specific parameters and a merge method called DARE TIES.
LLM NameMFANNv0.21.10
Repository 🤗https://huggingface.co/netcat420/MFANNv0.21.10 
Base Model(s)  netcat420/MFANNv0.19.11   netcat420/MFANNv0.19   netcat420/MFANNv0.21   netcat420/MFANNv0.20.11   netcat420/MFANNv0.20   mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated   netcat420/MFANNv0.19.11   netcat420/MFANNv0.19   netcat420/MFANNv0.21   netcat420/MFANNv0.20.11   netcat420/MFANNv0.20   mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-06-01
Maintainernetcat420
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.1
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/MFANNv0.21.10.

Rank the MFANNv0.21.10 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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