T 900 8B by ChaoticNeutrals

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T 900 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
T 900 8B (ChaoticNeutrals/T-900-8B)

T 900 8B Parameters and Internals

LLM NameT 900 8B
Repository ๐Ÿค—https://huggingface.co/ChaoticNeutrals/T-900-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-01-29
MaintainerChaoticNeutrals
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 Length8192
Model Max Length8192
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ChaoticNeutrals/T-900-8B.

Rank the T 900 8B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227