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L3 DARKEST PLANET Seven Rings Of DOOM 16.5B by DavidAU

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L3 DARKEST PLANET Seven Rings Of DOOM 16.5B is an open-source language model by DavidAU. Features: 8b LLM, VRAM: 32.7GB, Context: 8K, LLM Explorer Score: 0.16.

  Autotrain compatible   Conversational   Endpoints compatible   Llama   Llama-3   Llama3   Merge   Mergekit   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DavidAU/L3-DARKEST-PLANET-Seven-Rings-Of-DOOM-16.5B 

L3 DARKEST PLANET Seven Rings Of DOOM 16.5B Benchmarks

LLME Score: 0.1587
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3 DARKEST PLANET Seven Rings Of DOOM 16.5B (DavidAU/L3-DARKEST-PLANET-Seven-Rings-Of-DOOM-16.5B)
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L3 DARKEST PLANET Seven Rings Of DOOM 16.5B Parameters and Internals

LLM NameL3 DARKEST PLANET Seven Rings Of DOOM 16.5B
Repository 🤗https://huggingface.co/DavidAU/L3-DARKEST-PLANET-Seven-Rings-Of-DOOM-16.5B 
Model Size8b
Required VRAM32.7 GB
Updated2025-09-23
MaintainerDavidAU
Model Typellama
Model Files  1.1 GB: 1-of-35   1.1 GB: 2-of-35   1.0 GB: 3-of-35   1.0 GB: 4-of-35   1.0 GB: 5-of-35   0.9 GB: 6-of-35   1.0 GB: 7-of-35   1.0 GB: 8-of-35   1.0 GB: 9-of-35   0.9 GB: 10-of-35   1.0 GB: 11-of-35   1.0 GB: 12-of-35   1.0 GB: 13-of-35   0.9 GB: 14-of-35   0.9 GB: 15-of-35   0.9 GB: 16-of-35   0.9 GB: 17-of-35   0.9 GB: 18-of-35   0.9 GB: 19-of-35   0.9 GB: 20-of-35   0.9 GB: 21-of-35   0.9 GB: 22-of-35   0.9 GB: 23-of-35   0.9 GB: 24-of-35   0.9 GB: 25-of-35   0.9 GB: 26-of-35   0.9 GB: 27-of-35   0.9 GB: 28-of-35   1.0 GB: 29-of-35   1.0 GB: 30-of-35   1.0 GB: 31-of-35   1.0 GB: 32-of-35   1.0 GB: 33-of-35   1.0 GB: 34-of-35   0.2 GB: 35-of-35
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.43.3
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 DavidAU/L3-DARKEST-PLANET-Seven-Rings-Of-DOOM-16.5B.

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Instruction Following and Task Automation  
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