Llama3.1 Daredevilish by agentlans

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Base model:dreadpoor/lemonp-8b...   Base model:etherll/superhermes   Base model:jaspionjader/f-2-8b Base model:merge:dreadpoor/lem... Base model:merge:etherll/super... Base model:merge:jaspionjader/... Base model:merge:meta-llama/ll... Base model:merge:youlln/1param... Base model:meta-llama/llama-3.... Base model:youlln/1parammyl-8b...   Dataset:agentlans/crash-course   Llama   Merge   Mergekit   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Llama3.1 Daredevilish Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3.1 Daredevilish (agentlans/Llama3.1-Daredevilish)

Llama3.1 Daredevilish Parameters and Internals

LLM NameLlama3.1 Daredevilish
Repository ๐Ÿค—https://huggingface.co/agentlans/Llama3.1-Daredevilish 
Base Model(s)  LemonP 8B Model Stock   1PARAMMYL 8B ModelStock   F 2 8B   SuperHermes   meta-llama/Llama-3.1-8B   DreadPoor/LemonP-8B-Model_Stock   Youlln/1PARAMMYL-8B-ModelStock   jaspionjader/f-2-8b   Etherll/SuperHermes   meta-llama/Llama-3.1-8B
Model Size8b
Required VRAM16 GB
Updated2025-05-21
Maintaineragentlans
Model Typellama
Model Files  3.0 GB: 1-of-6   2.9 GB: 2-of-6   3.0 GB: 3-of-6   2.9 GB: 4-of-6   2.9 GB: 5-of-6   1.3 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than agentlans/Llama3.1-Daredevilish.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227