MN GRAND Gutenberg Lyra4 Lyra 12B DARKNESS by DavidAU

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MN GRAND Gutenberg Lyra4 Lyra 12B DARKNESS is an open-source language model by DavidAU. Features: 12b LLM, VRAM: 23.8GB, Context: 1000K, Instruction-Based, LLM Explorer Score: 0.16.

  Conversational   Deploy:azure   Endpoints compatible   Instruct   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow

MN GRAND Gutenberg Lyra4 Lyra 12B DARKNESS Benchmarks

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

MN GRAND Gutenberg Lyra4 Lyra 12B DARKNESS Parameters and Internals

LLM NameMN GRAND Gutenberg Lyra4 Lyra 12B DARKNESS
Repository 🤗https://huggingface.co/DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS 
Model Size12b
Required VRAM23.8 GB
Updated2026-04-10
MaintainerDavidAU
Model Typemistral
Instruction-BasedYes
Model Files  1.3 GB: 1-of-25   1.3 GB: 2-of-25   1.0 GB: 3-of-25   0.9 GB: 4-of-25   0.9 GB: 5-of-25   0.9 GB: 6-of-25   1.0 GB: 7-of-25   0.9 GB: 8-of-25   0.9 GB: 9-of-25   0.9 GB: 10-of-25   1.0 GB: 11-of-25   0.9 GB: 12-of-25   0.9 GB: 13-of-25   0.9 GB: 14-of-25   1.0 GB: 15-of-25   0.9 GB: 16-of-25   0.9 GB: 17-of-25   0.9 GB: 18-of-25   1.0 GB: 19-of-25   0.9 GB: 20-of-25   0.9 GB: 21-of-25   0.9 GB: 22-of-25   1.0 GB: 23-of-25   0.9 GB: 24-of-25   0.8 GB: 25-of-25
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS.

Rank the MN GRAND Gutenberg Lyra4 Lyra 12B DARKNESS Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a