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Cymist 2 V02 SFT by cypienai

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Cymist 2 V02 SFT is an open-source language model by cypienai. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, HF Score: 62.6, LLM Explorer Score: 0.15, Arc: 60.1, HellaSwag: 83.4, MMLU: 62.3, TruthfulQA: 52.1, WinoGrande: 78.6, GSM8K: 39.

  Merged Model   Arxiv:1910.09700 Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Deploy:azure   En   Endpoints compatible   General tasks   Mistral   Model-index   Rag   Region:us   Safetensors   Sft   Sharded   Tensorflow   Tr   Turkish
Model Card on HF 🤗: https://huggingface.co/cypienai/cymist-2-v02-SFT 

Cymist 2 V02 SFT Benchmarks

ARC: 60.07 vs 96.7 (so35)-37.9%
HellaSwag: 83.43 vs 95.3 (gpt4)-12.5%
MMLU: 62.29 vs 88.3 (so35)-29.5%
TruthfulQA: 52.06 vs 59 (gpt4)-11.8%
WinoGrande: 78.61 vs 87.5 (gpt4)-10.2%
GSM8K: 38.97 vs 96.4 (so35)-59.6%
LLME Score: 0.15242
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cymist 2 V02 SFT (cypienai/cymist-2-v02-SFT)
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Cymist 2 V02 SFT Parameters and Internals

Model Type 
Language Model for Text-Generation
Supported Languages 
tr (Turkish), en (English)
LLM NameCymist 2 V02 SFT
Repository 🤗https://huggingface.co/cypienai/cymist-2-v02-SFT 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-03-10
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 Version4.41.0
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/cymist-2-v02-SFT.

Rank the Cymist 2 V02 SFT 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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