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Viking 7B by LumiOpen

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  Autotrain compatible   Da   Dataset:bigcode/starcoderdata Dataset:cerebras/slimpajama-62...   Dataset:mc4   En   Endpoints compatible   Fi   Is   Llama   Nn   No   Region:us   Safetensors   Sharded   Sv   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LumiOpen/Viking-7B 

Viking 7B Benchmarks

LLME Score: 0.1781
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Viking 7B (LumiOpen/Viking-7B)

Viking 7B Parameters and Internals

Model Type 
decoder-only, transformer
Use Cases 
Areas:
research, commercial applications
Limitations:
no meaningful proficiency in languages outside of English, Finnish, Swedish, Norwegian, Danish, Icelandic, and code
Considerations:
The model is partially trained, and ethical considerations should guide its application.
Supported Languages 
fi (fluent), en (fluent), da (fluent), sv (fluent), no (fluent), nn (fluent), is (fluent)
Training Details 
Data Sources:
cerebras/SlimPajama-627B, bigcode/starcoderdata, mc4
Data Volume:
2 trillion tokens
Methodology:
uses a LLaMA-like GPT architecture, rotary positional embeddings, flash attention
Context Length:
4096
Hardware Used:
256 AMD MI250X GPUs
Model Architecture:
decoder-only transformer
Safety Evaluation 
Ethical Considerations:
Viking may produce outputs that can be considered inaccurate, prejudiced, or controversial. Users should exercise discretion.
Responsible Ai Considerations 
Mitigation Strategies:
Special care should be taken when using outputs.
Input Output 
Accepted Modalities:
text
Release Notes 
Notes:
Training checkpoints available as branches in the repository, e.g., 100B, 200B, up to 2000B tokens.
LLM NameViking 7B
Repository 🤗https://huggingface.co/LumiOpen/Viking-7B 
Model Size7b
Required VRAM15.1 GB
Updated2025-05-14
MaintainerLumiOpen
Model Typellama
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.1 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesfi en da sv no nn is
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.0
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Quantized Models of the Viking 7B

Model
Likes
Downloads
VRAM
...sh Alpaca Tiny V2 7B EXL2 4bpw074 GB
Viking 7B EXL2 4bpw154 GB

Best Alternatives to Viking 7B

Best Alternatives
Context / RAM
Downloads
Likes
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A3.41024K / 16.1 GB130
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A2.41024K / 16.1 GB120
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Note: green Score (e.g. "73.2") means that the model is better than LumiOpen/Viking-7B.

Rank the Viking 7B 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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