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Llama Gaan 2 7B Chat HF Dutch
This model is a finetuned version of LLAMA 2 7B Chat aiming for Dutch language support 🇳🇱. Courtesy of Mirage Studio, home of MirageGPT: the private ChatGPT alternative.
Model Details
Model Description
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Prompt template
<s>[INST] <<SYS>>
System prompt
<</SYS>>
User prompt [/INST] Model answer </s>
To continue a conversation
[INST] <<SYS>>
You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.
<</SYS>>
{prompt} [/INST] {model_reply} [INST] {prompt} [/INST]
Example usage
An example question you can ask:
Q: Kun je aangeven wat het belang van privacy is voor bedrijven?
A: Het belang van privacy voor bedrijven is dat ze hun klanten moeten beschermen tegen onverhoopt gebruik van persoonlijke gegevens die kunnen leiden tot verlies van privacy, strafrechtelijke problemen of reputatieschade. Bedrijven hebben de plicht om hun klanten te informeren over hoe hun gegevens worden gebruikt en welke middelen zijn beschikbaar om deze te beschermen. Bovendien moeten bedrijven zich aan de wetten houden die relevante privacybeveiligingsmaatregelen regelen, zoals GDPR (General Data Protection Regulation) in Europa. Privacy is essentieel voor het bouwen van betrouw en vertrouwen tussen bedrijven en hun klanten, waardoor bedrijven kunnen concurreren in een markt met strengere eisen. In het algemeen kan men zeggen dat privacy een cruciaal aspect is bij het ontwikkelen van succesvolle bedrijfsstrategies.
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Uses
Direct Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
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Training Procedure
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Evaluation
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Summary
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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