LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

MN GRAND Gutenberg Lyra4 Lyra 23B V2 by DavidAU

 »  All LLMs  »  DavidAU  »  MN GRAND Gutenberg Lyra4 Lyra 23B V2   URL Share it on

  5   

MN GRAND Gutenberg Lyra4 Lyra 23B V2 is an open-source language model by DavidAU. Features: 23b LLM, VRAM: 44.4GB, Context: 1000K, LLM Explorer Score: 0.16.

  Autotrain compatible   Conversational   Endpoints compatible   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-23B-V2 

MN GRAND Gutenberg Lyra4 Lyra 23B V2 Benchmarks

LLME Score: 0.16204
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 23B V2 (DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-23B-V2)
🌟 Advertise your project 🚀

MN GRAND Gutenberg Lyra4 Lyra 23B V2 Parameters and Internals

LLM NameMN GRAND Gutenberg Lyra4 Lyra 23B V2
Repository 🤗https://huggingface.co/DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-23B-V2 
Model Size23b
Required VRAM44.4 GB
Updated2025-09-23
MaintainerDavidAU
Model Typemistral
Model Files  1.3 GB: 1-of-48   1.3 GB: 2-of-48   1.0 GB: 3-of-48   0.9 GB: 4-of-48   1.0 GB: 5-of-48   0.9 GB: 6-of-48   0.9 GB: 7-of-48   1.0 GB: 8-of-48   0.9 GB: 9-of-48   0.9 GB: 10-of-48   1.0 GB: 11-of-48   1.0 GB: 12-of-48   0.9 GB: 13-of-48   0.9 GB: 14-of-48   0.9 GB: 15-of-48   0.9 GB: 16-of-48   1.0 GB: 17-of-48   1.0 GB: 18-of-48   1.0 GB: 19-of-48   0.9 GB: 20-of-48   0.9 GB: 21-of-48   0.9 GB: 22-of-48   0.9 GB: 23-of-48   0.9 GB: 24-of-48   1.0 GB: 25-of-48   0.9 GB: 26-of-48   0.9 GB: 27-of-48   0.9 GB: 28-of-48   0.9 GB: 29-of-48   0.9 GB: 30-of-48   0.9 GB: 31-of-48   0.9 GB: 32-of-48   0.9 GB: 33-of-48   1.0 GB: 34-of-48   0.9 GB: 35-of-48   0.9 GB: 36-of-48   0.9 GB: 37-of-48   1.0 GB: 38-of-48   1.0 GB: 39-of-48   0.9 GB: 40-of-48   0.9 GB: 41-of-48   0.9 GB: 42-of-48   0.9 GB: 43-of-48   0.9 GB: 44-of-48   0.9 GB: 45-of-48   1.0 GB: 46-of-48   0.9 GB: 47-of-48
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.43.3
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to MN GRAND Gutenberg Lyra4 Lyra 23B V2

Best Alternatives
Context / RAM
Downloads
Likes
...ppelKartoffel Mistral Nemo 23B1000K / 46.3 GB70
Mergekit Ties Asjuuws1000K / 45.7 GB60
Mergekit Model Stock Gcraeln1000K / 45.7 GB50
Note: green Score (e.g. "73.2") means that the model is better than DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-23B-V2.

Rank the MN GRAND Gutenberg Lyra4 Lyra 23B V2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 52721 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer