SixtyK Synth Animals Plainprompt by CompassioninMachineLearning

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SixtyK Synth Animals Plainprompt Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SixtyK Synth Animals Plainprompt (CompassioninMachineLearning/sixtyK_synth_animals_plainprompt)
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SixtyK Synth Animals Plainprompt Parameters and Internals

LLM NameSixtyK Synth Animals Plainprompt
Repository ๐Ÿค—https://huggingface.co/CompassioninMachineLearning/sixtyK_synth_animals_plainprompt 
Base Model(s)  ...nth Animals Plainprompt LR5e 6   CompassioninMachineLearning/fortyK_synth_animals_plainprompt_LR5e-6
Model Size8b
Required VRAM16.1 GB
Updated2025-07-02
MaintainerCompassioninMachineLearning
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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

Rank the SixtyK Synth Animals Plainprompt Capabilities

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