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ScikitLLM Model by probabl-ai

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  Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/probabl-ai/ScikitLLM-Model 

ScikitLLM Model Benchmarks

LLME Score: 0.14559
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ScikitLLM Model (probabl-ai/ScikitLLM-Model)
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ScikitLLM Model Parameters and Internals

Model Type 
text generation
Additional Notes 
ScikitLLM is finetuned on writing references and code for Scikit-Learn documentation, supporting RAG (three chunks) and using a modified wiki syntax for sources and quotations.
Training Details 
Methodology:
Lower learning rate fine-tuning, based on Mistral-OpenHermes 7B finetune of Mistral 7B.
LLM NameScikitLLM Model
Repository 🤗https://huggingface.co/probabl-ai/ScikitLLM-Model 
Model Size7.2b
Required VRAM14.4 GB
Updated2025-09-18
Maintainerprobabl-ai
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than probabl-ai/ScikitLLM-Model.

Rank the ScikitLLM Model 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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