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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

MFANNv0.2 Benchmarks

ARC: 62.88-34.7%
HellaSwag: 83.85-12%
MMLU: 60.11-30.5%
TruthfulQA: 68.9416.8%
WinoGrande: 74.03-15.4%
GSM8K: 37-59.8%
nn.n% — How the model compares to the GPT-4.

MFANNv0.2 Parameters and Internals

LLM NameMFANNv0.2
RepositoryOpen on 🤗 
Model Size7b
Required VRAM28.9 GB
Updated2024-07-27
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
MFANNv0.2 (netcat420/MFANNv0.2)

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...aul Dolphin Beagle Breadcrumbs0.332K / 14.5 GB21120
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Configurable Mistral 7B0.332K / 14.4 GB41561
Breeze 7B Instruct V1.00.332K / 15 GB873044
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 v2024072501
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