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

ML MS Etheris 123B by Steelskull

 »  All LLMs  »  Steelskull  »  ML MS Etheris 123B   URL Share it on

  15   
  Autotrain compatible Base model:anthracite-org/magn... Base model:merge:anthracite-or... Base model:merge:migtissera/te... Base model:merge:neversleep/lu... Base model:merge:sillytilly/mi... Base model:merge:thedrummer/be... Base model:migtissera/tess-3-m... Base model:neversleep/lumimaid... Base model:sillytilly/mistral-... Base model:thedrummer/behemoth...   Endpoints compatible   Instruct   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Steelskull/ML-MS-Etheris-123B 

ML MS Etheris 123B Benchmarks

LLME Score: 0.22616
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ML MS Etheris 123B (Steelskull/ML-MS-Etheris-123B)

ML MS Etheris 123B Parameters and Internals

Additional Notes 
The model combines the storytelling capabilities of multiple models maintaining intelligence.
Training Details 
Methodology:
Merged using Model Soup with DELLA as a special methodology.
Input Output 
Input Format:
Use Mistral, ChatML, or Meth Format
LLM NameML MS Etheris 123B
Repository 🤗https://huggingface.co/Steelskull/ML-MS-Etheris-123B 
Base Model(s)  Tess 3 Mistral Large 2 123B   Behemoth 123B V1   Mistral Large Instruct 2407   NeverSleep/Lumimaid-v0.2-123B   Magnum V2 123B   migtissera/Tess-3-Mistral-Large-2-123B   TheDrummer/Behemoth-123B-v1   SillyTilly/Mistral-Large-Instruct-2407   NeverSleep/Lumimaid-v0.2-123B   anthracite-org/magnum-v2-123b
Model Size123b
Required VRAM226.4 GB
Updated2025-01-17
MaintainerSteelskull
Model Typemistral
Instruction-BasedYes
Model Files  4.4 GB: 1-of-51   4.9 GB: 2-of-51   4.8 GB: 3-of-51   4.8 GB: 4-of-51   4.8 GB: 5-of-51   4.9 GB: 6-of-51   4.8 GB: 7-of-51   4.8 GB: 8-of-51   4.8 GB: 9-of-51   4.9 GB: 10-of-51   4.8 GB: 11-of-51   4.8 GB: 12-of-51   4.8 GB: 13-of-51   4.9 GB: 14-of-51   4.8 GB: 15-of-51   4.8 GB: 16-of-51   4.8 GB: 17-of-51   4.9 GB: 18-of-51   4.8 GB: 19-of-51   4.8 GB: 20-of-51   4.8 GB: 21-of-51   4.9 GB: 22-of-51   4.8 GB: 23-of-51   4.8 GB: 24-of-51   4.8 GB: 25-of-51   4.9 GB: 26-of-51   4.8 GB: 27-of-51   4.8 GB: 28-of-51   4.8 GB: 29-of-51   4.9 GB: 30-of-51   4.8 GB: 31-of-51   4.8 GB: 32-of-51   4.8 GB: 33-of-51   4.9 GB: 34-of-51   4.8 GB: 35-of-51   4.8 GB: 36-of-51   4.8 GB: 37-of-51   4.9 GB: 38-of-51   4.8 GB: 39-of-51   4.8 GB: 40-of-51   4.8 GB: 41-of-51   4.9 GB: 42-of-51   4.8 GB: 43-of-51   4.8 GB: 44-of-51   4.8 GB: 45-of-51   4.9 GB: 46-of-51   4.8 GB: 47-of-51
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.44.1
Vocabulary Size32768
Torch Data Typebfloat16

Best Alternatives to ML MS Etheris 123B

Best Alternatives
Context / RAM
Downloads
Likes
Gigaberg Mistral Large 123B128K / 222 GB642
Behemoth 123B V1128K / 221.6 GB28634
Magnum V4 123B128K / 222 GB26225
Cakrawala 123B128K / 222 GB333
Behemoth 123B V2128K / 221.6 GB127
Magnum V2 123B128K / 207.6 GB28756
Tess 3 Mistral Large 2 123B128K / 217.2 GB49219
Lumikabra 123B V0.4128K / 216.7 GB10012
Lumimaid V0.2 123B128K / 217.2 GB15933
Magstral 123B128K / 221.6 GB70
Note: green Score (e.g. "73.2") means that the model is better than Steelskull/ML-MS-Etheris-123B.

Rank the ML MS Etheris 123B 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? 42577 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.
Release v20241227
  Support LLM Explorer