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Cymist2 V01 SFT by cypienai

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  Arxiv:1910.09700   Autotrain compatible   En   Endpoints compatible   General tasks   Mistral   Rag   Region:us   Safetensors   Sft   Sharded   Tensorflow   Tr   Turkish

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: 0.2676
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 Parameters and Internals

LLM NameCymist2 V01 SFT
Repository 🤗https://huggingface.co/cypienai/cymist2-v01-SFT 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-10-18
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
Cymist2 V01 SFT (cypienai/cymist2-v01-SFT)

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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  
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Release v2024072803
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