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Deita 34B by KnutJaegersberg

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  Autotrain compatible Dataset:knutjaegersberg/deita-...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/KnutJaegersberg/Deita-34b 

Deita 34B Benchmarks

ARC: 64.08 vs 96.7 (so35)-33.7%
HellaSwag: 85.29 vs 95.3 (gpt4)-10.5%
MMLU: 76.66 vs 88.3 (so35)-13.2%
TruthfulQA: 54.35 vs 59 (gpt4)-7.9%
WinoGrande: 82.79 vs 87.5 (gpt4)-5.4%
GSM8K: 66.19 vs 96.4 (so35)-31.3%
LLME Score: 0.20108
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deita 34B (KnutJaegersberg/Deita-34b)

Deita 34B Parameters and Internals

LLM NameDeita 34B
Repository 🤗https://huggingface.co/KnutJaegersberg/Deita-34b 
Model Size34b
Required VRAM69.2 GB
Updated2025-02-22
MaintainerKnutJaegersberg
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than KnutJaegersberg/Deita-34b.

Rank the Deita 34B 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  
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Release v20241227
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