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L3.1 HermesBreak 8B by rityak

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:bluuwhale/l3-stheno... Base model:mlabonne/hermes-3-l... Base model:nousresearch/hermes... Base model:sao10k/l3.1-8b-niit... Base model:v000000/llama-3.1-8...   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rityak/L3.1-HermesBreak-8B 

L3.1 HermesBreak 8B Benchmarks

LLME Score: 0.21542
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3.1 HermesBreak 8B (rityak/L3.1-HermesBreak-8B)

L3.1 HermesBreak 8B Parameters and Internals

Additional Notes 
This model is a merge of pre-trained language models using model_stock method with the base model from NousResearch.
Training Details 
Methodology:
Model Stock merge method
LLM NameL3.1 HermesBreak 8B
Repository 🤗https://huggingface.co/rityak/L3.1-HermesBreak-8B 
Base Model(s)  v000000/Llama-3.1-8B-Stheno-v3.4-abliterated   mlabonne/Hermes-3-Llama-3.1-8B-lorablated   NousResearch/Hermes-3-Llama-3.1-8B   Sao10K/L3.1-8B-Niitama-v1.1   L3 SthenoMaid 8B V1   v000000/Llama-3.1-8B-Stheno-v3.4-abliterated   mlabonne/Hermes-3-Llama-3.1-8B-lorablated   NousResearch/Hermes-3-Llama-3.1-8B   Sao10K/L3.1-8B-Niitama-v1.1   bluuwhale/L3-SthenoMaid-8B-V1
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-01-21
Maintainerrityak
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than rityak/L3.1-HermesBreak-8B.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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