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Prodigy Sm Base V0.1 by draganjovanovich

 »  All LLMs  »  draganjovanovich  »  Prodigy Sm Base V0.1   URL Share it on

  10   
  Arxiv:2309.09530   Arxiv:2403.19522   Autotrain compatible   Bs   En   Endpoints compatible   Hr   Mistral   Region:us   Safetensors   Sharded   Sr   Tensorflow
Model Card on HF 🤗: https://huggingface.co/draganjovanovich/prodigy-sm-base-v0.1 

Prodigy Sm Base V0.1 Benchmarks

LLME Score: 0.18186
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Prodigy Sm Base V0.1 (draganjovanovich/prodigy-sm-base-v0.1)

Prodigy Sm Base V0.1 Parameters and Internals

Model Type 
text generation
Additional Notes 
Base model best suited for further pre-training on Serbian language or for chat/instruct tuning.
Supported Languages 
en (supported), sr (supported), hr (supported), bs (supported)
Training Details 
Data Sources:
synthetic data, human-curated data, CC Web data
Methodology:
Inspired by strategies discussed in paper 'ADAPTING LARGE LANGUAGE MODELS VIA READING COMPREHENSION'.
LLM NameProdigy Sm Base V0.1
Repository 🤗https://huggingface.co/draganjovanovich/prodigy-sm-base-v0.1 
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
Maintainerdraganjovanovich
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.6 GB: 2-of-2
Supported Languagesen sr hr bs
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than draganjovanovich/prodigy-sm-base-v0.1.

Rank the Prodigy Sm Base V0.1 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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Release v20241227
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