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Merged RP Stew V2 34B by ParasiticRogue

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  Merged Model   Autotrain compatible   Endpoints compatible   Exl2   Llama   Not-for-all-audiences   Region:us   Roleplay   Safetensors   Sharded   Tensorflow

Merged RP Stew V2 34B Benchmarks

ARC: 67.06 vs 96.7 (so35)-30.7%
HellaSwag: 86.06 vs 95.3 (gpt4)-9.7%
MMLU: 77.62 vs 88.3 (so35)-12.1%
TruthfulQA: 57.93 vs 59 (gpt4)-1.8%
WinoGrande: 82.72 vs 87.5 (gpt4)-5.5%
GSM8K: 66.11 vs 96.4 (so35)-31.4%
LLME Score: 0.23598
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Merged RP Stew V2 34B Parameters and Internals

LLM NameMerged RP Stew V2 34B
Repository 🤗https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B 
Merged ModelYes
Model Size34b
Required VRAM68.9 GB
Updated2024-09-16
MaintainerParasiticRogue
Model Typellama
Model Files  9.8 GB: 1-of-7   9.8 GB: 2-of-7   10.0 GB: 3-of-7   9.8 GB: 4-of-7   9.8 GB: 5-of-7   9.8 GB: 6-of-7   9.9 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.39.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Merged RP Stew V2 34B (ParasiticRogue/Merged-RP-Stew-V2-34B)

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Note: green Score (e.g. "73.2") means that the model is better than ParasiticRogue/Merged-RP-Stew-V2-34B.

Rank the Merged RP Stew V2 34B Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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