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MFANNv0.2 by netcat420

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  Autotrain compatible   Conversational   Dataset:netcat420/mfann   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/MFANNv0.2 

MFANNv0.2 Benchmarks

ARC: 62.88 vs 96.7 (so35)-35%
HellaSwag: 83.85 vs 95.3 (gpt4)-12%
MMLU: 60.11 vs 88.3 (so35)-31.9%
TruthfulQA: 68.94 vs 59 (gpt4)16.8%
WinoGrande: 74.03 vs 87.5 (gpt4)-15.4%
GSM8K: 37 vs 96.4 (so35)-61.6%
LLME Score: 0.20459
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MFANNv0.2 (netcat420/MFANNv0.2)

MFANNv0.2 Parameters and Internals

LLM NameMFANNv0.2
Repository 🤗https://huggingface.co/netcat420/MFANNv0.2 
Model Size7b
Required VRAM28.9 GB
Updated2024-12-21
Maintainernetcat420
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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...ty Instruct 3M 0625 Mistral 7B32K / 14.4 GB54343
Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANNv0.2.

Rank the MFANNv0.2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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