Llama2 Xs 460M Experimental Platypus by Felladrin

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  Autotrain compatible Base model:ahxt/llama2 xs 460m... Base model:finetune:ahxt/llama... Dataset:garage-baind/open-plat...   Endpoints compatible   Llama   Region:us   Safetensors

Llama2 Xs 460M Experimental Platypus Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama2 Xs 460M Experimental Platypus Parameters and Internals

Additional Notes 
Trained on Open-Platypus dataset and available in other ML formats like GGUF.
Training Details 
Data Sources:
garage-bAInd/Open-Platypus
Methodology:
AutoTrain Advanced
LLM NameLlama2 Xs 460M Experimental Platypus
Repository ๐Ÿค—https://huggingface.co/Felladrin/llama2_xs_460M_experimental_platypus 
Base Model(s)  Llama2 Xs 460M Experimental   ahxt/llama2_xs_460M_experimental
Model Size460m
Required VRAM1.9 GB
Updated2025-06-09
MaintainerFelladrin
Model Typellama
Model Files  1.9 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length1024
Model Max Length1024
Transformers Version4.34.1
Tokenizer ClassGPT2Tokenizer
Padding Token"
Vocabulary Size50257
Torch Data Typefloat32
Errorsreplace
Llama2 Xs 460M Experimental Platypus (Felladrin/llama2_xs_460M_experimental_platypus)

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Note: green Score (e.g. "73.2") means that the model is better than Felladrin/llama2_xs_460M_experimental_platypus.

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