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Mergekit Ties Aqylnum by yweslakarep

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:lighteternal/llama3... Base model:sao10k/l3-8b-stheno...   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yweslakarep/mergekit-ties-aqylnum 

Mergekit Ties Aqylnum Benchmarks

LLME Score: 0.17692
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Ties Aqylnum (yweslakarep/mergekit-ties-aqylnum)

Mergekit Ties Aqylnum Parameters and Internals

Additional Notes 
Merge created using mergekit.
Training Details 
Methodology:
TIES merge method
LLM NameMergekit Ties Aqylnum
Repository 🤗https://huggingface.co/yweslakarep/mergekit-ties-aqylnum 
Base Model(s)  Llama3 Merge Biomed 8B   Sao10K/L3-8B-Stheno-v3.2   lighteternal/Llama3-merge-biomed-8b   Sao10K/L3-8B-Stheno-v3.2
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-06-01
Maintaineryweslakarep
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
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than yweslakarep/mergekit-ties-aqylnum.

Rank the Mergekit Ties Aqylnum Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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