H2o Danube 1.8B Chat Sft Merge Fourier V1 by NickyNicky

 ยป  All LLMs  ยป  NickyNicky  ยป  H2o Danube 1.8B Chat Sft Merge Fourier V1   URL Share it on

  Merged Model   Autotrain compatible   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

H2o Danube 1.8B Chat Sft Merge Fourier V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
H2o Danube 1.8B Chat Sft Merge Fourier V1 (NickyNicky/h2o-danube-1.8b-chat-sft-merge_fourier-v1)
๐ŸŒŸ Advertise your project ๐Ÿš€

H2o Danube 1.8B Chat Sft Merge Fourier V1 Parameters and Internals

Model Type 
text generation
LLM NameH2o Danube 1.8B Chat Sft Merge Fourier V1
Repository ๐Ÿค—https://huggingface.co/NickyNicky/h2o-danube-1.8b-chat-sft-merge_fourier-v1 
Merged ModelYes
Model Size1.8b
Required VRAM7.3 GB
Updated2025-06-22
MaintainerNickyNicky
Model Typemistral
Model Files  5.0 GB: 1-of-2   2.3 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

Best Alternatives to H2o Danube 1.8B Chat Sft Merge Fourier V1

Best Alternatives
Context / RAM
Downloads
Likes
H2o Danube 1.8B Chat16K / 3.7 GB17054
H2o Danube 1.8B Base16K / 3.7 GB25543
Cypher Mini 1.8B16K / 3.7 GB472
H2o Danube 1.8B Sft16K / 3.7 GB5511
PixieZehirNano16K / 3.7 GB100
Cypher CoT 1.8B16K / 3.7 GB201
H2o Danube2 1.8B Chat8K / 3.7 GB14961
H2o Danube2 1.8B Base8K / 3.7 GB2846
H2o Danube2 1.8B Sft8K / 3.7 GB336
Binary Clumsy Bear8K / 7.3 GB120
Note: green Score (e.g. "73.2") means that the model is better than NickyNicky/h2o-danube-1.8b-chat-sft-merge_fourier-v1.

Rank the H2o Danube 1.8B Chat Sft Merge Fourier V1 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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? 48323 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124