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Cymist2 V01 SFT by cypienai

 »  All LLMs  »  cypienai  »  Cymist2 V01 SFT   URL Share it on

  2750   
  Arxiv:1910.09700   Autotrain compatible   En   Endpoints compatible   General tasks   Mistral   Rag   Region:us   Safetensors   Sft   Sharded   Tensorflow   Tr   Turkish
Model Card on HF 🤗: https://huggingface.co/cypienai/cymist2-v01-SFT 

Cymist2 V01 SFT Benchmarks

ARC: 47.7 vs 96.7 (so35)-50.7%
HellaSwag: 76.54 vs 95.3 (gpt4)-19.7%
MMLU: 50.19 vs 88.3 (so35)-43.2%
TruthfulQA: 47.2 vs 59 (gpt4)-20%
WinoGrande: 72.14 vs 87.5 (gpt4)-17.6%
GSM8K: 16.53 vs 96.4 (so35)-82.9%
LLME Score: 0.24417
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cymist2 V01 SFT (cypienai/cymist2-v01-SFT)

Cymist2 V01 SFT Parameters and Internals

Model Type 
Language Model for Text-Generation
Use Cases 
Areas:
General applications requiring Turkish language understanding, RAG and text-generation capabilities
Applications:
Chatbots, virtual assistants, and other AI systems
Limitations:
Not for use in critical systems where incorrect answers could lead to harm
Considerations:
The model, like all AI models, may inherit biases from its training data.
Additional Notes 
The model is optimized for text-generation tasks. There is a new version available: cymist-2-v02-SFT.
Supported Languages 
Turkish (comprehensive), English (comprehensive)
Training Details 
Data Sources:
Diverse set of Turkish & English language sources
Model Architecture:
Leverages the transformers library
LLM NameCymist2 V01 SFT
Repository 🤗https://huggingface.co/cypienai/cymist2-v01-SFT 
Model Size7.2b
Required VRAM14.4 GB
Updated2025-02-22
Maintainercypienai
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagestr en
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than cypienai/cymist2-v01-SFT.

Rank the Cymist2 V01 SFT 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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