MN GRAND Gutenberg Lyra4 Lyra 23B V2 by DavidAU

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

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

MN GRAND Gutenberg Lyra4 Lyra 23B V2 Benchmarks

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

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? 53999 in total.

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