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CausalLM RP 34B by NeverSleep

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Not-for-all-audiences   Nsfw   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/NeverSleep/CausalLM-RP-34B 

CausalLM RP 34B Benchmarks

ARC: 68 vs 96.7 (so35)-29.7%
HellaSwag: 83.43 vs 95.3 (gpt4)-12.5%
MMLU: 83.1 vs 88.3 (so35)-5.9%
TruthfulQA: 54.51 vs 59 (gpt4)-7.6%
WinoGrande: 82.16 vs 87.5 (gpt4)-6.1%
GSM8K: 62.32 vs 96.4 (so35)-35.4%
LLME Score: 0.15393
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CausalLM RP 34B (NeverSleep/CausalLM-RP-34B)
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CausalLM RP 34B Parameters and Internals

LLM NameCausalLM RP 34B
Repository 🤗https://huggingface.co/NeverSleep/CausalLM-RP-34B 
Model Size34b
Required VRAM69.2 GB
Updated2025-09-23
MaintainerNeverSleep
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
Licensecc-by-nc-4.0
Context Length200000
Model Max Length200000
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than NeverSleep/CausalLM-RP-34B.

Rank the CausalLM RP 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  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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