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MFANN SFT by netcat420

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  1997   
  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:mlabonne/meta-llama... Base model:netcat420/mfann-lla... Base model:netcat420/mfann-sft...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/MFANN-SFT 

MFANN SFT Benchmarks

MMLU Pro: 25.96
GPQA: 8.84
MUSR: 3.8
BBH: 26.21
IFEval: 36.82 vs 88 (so35)-58.2%
MATH Lvl 5: 5.97
LLME Score: 0.32323
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MFANN SFT (netcat420/MFANN-SFT)

MFANN SFT Parameters and Internals

LLM NameMFANN SFT
Repository 🤗https://huggingface.co/netcat420/MFANN-SFT 
Base Model(s)  netcat420/MFANN-Llama3.1-Abliterated-SLERP-V5   MFANN SFT Precursor 2   mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated   netcat420/MFANN-Llama3.1-Abliterated-SLERP-V5   netcat420/MFANN-SFT-precursor-2   mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-03-19
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 Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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

Rank the MFANN SFT Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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