Holger 7B V0.1 by trollek

 ยป  All LLMs  ยป  trollek  ยป  Holger 7B V0.1   URL Share it on

  Autotrain compatible   Base model:lumiopen/viking-7b Base model:merge:lumiopen/viki... Base model:merge:mpasila/vikin... Base model:merge:mpasila/vikin... Base model:mpasila/viking-magn... Base model:mpasila/viking-slim...   Conversational   Da Dataset:gryphe/sonnet3.5-slimo... Dataset:smangrul/ultrachat-10k...   Dataset:trollek/danoia-v01   Dataset:trollek/panoia-v02 Dataset:trollek/probingpanoia-...   En   Endpoints compatible   Llama   Merge   Mergekit   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/trollek/Holger-7B-v0.1 

Holger 7B V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Holger 7B V0.1 (trollek/Holger-7B-v0.1)

Holger 7B V0.1 Parameters and Internals

LLM NameHolger 7B V0.1
Repository ๐Ÿค—https://huggingface.co/trollek/Holger-7B-v0.1 
Base Model(s)  Viking 7B   mpasila/Viking-Magnum-v0.1-7B   mpasila/Viking-SlimSonnet-v1-7B   LumiOpen/Viking-7B   mpasila/Viking-Magnum-v0.1-7B   mpasila/Viking-SlimSonnet-v1-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-04-23
Maintainertrollek
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   0.2 GB: 4-of-4
Supported Languagesda en
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.43.4
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to Holger 7B V0.1

Best Alternatives
Context / RAM
Downloads
Likes
A6 L1024K / 16.1 GB2010
M1024K / 16.1 GB1270
1571024K / 16.1 GB1010
1241024K / 16.1 GB930
A3.41024K / 16.1 GB130
A5.41024K / 16.1 GB120
A2.41024K / 16.1 GB120
2 Very Sci Fi1024K / 16.1 GB3170
1621024K / 16.1 GB600
1181024K / 16.1 GB150
Note: green Score (e.g. "73.2") means that the model is better than trollek/Holger-7B-v0.1.

Rank the Holger 7B V0.1 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? 46599 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227