Llama Gaan 2 7B Chat HF Dutch

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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.

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Model Details

Epoch 1 checkpoint of llama-2-7b-chat-hf, finetuned to speak Dutch. Click here for epoch 5, we think it's better.

Model Description

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• Developed by: Mirage Studio
• Model type: Llama chat
• Language(s) (NLP): Dutch
• License: Llama-2 License
• Finetuned from model: daryl149/llama-2-7b-chat-hf

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]

N.B. Set your pad_token_id=18610 in your generator, otherwise it returns gibberish.

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.

Model Sources [optional]

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• Repository: [More Information Needed]
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> It's a Dutch speaking drop in replacement for meta-llama/Llama-2-7b-chat-hf and the non-waitlist mirror daryl149/llama-2-7b-chat-hf.

Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

It's a Dutch speaking drop in replacement for meta-llama/Llama-2-7b-chat-hf and the non-waitlist mirror daryl149/llama-2-7b-chat-hf.

Downstream Use [optional]

<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> Do use it for further finetuning and let us know!

Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> Don't be evil.

Bias, Risks, and Limitations

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• It's not quite perfect Dutch yet, but a very promising start.

Recommendations

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How to Get Started with the Model

If you already have a pipeline running llama 2 7B chat in huggingface format, just call this one instead. N.B. Set pad_token_id=18610 in your generator, otherwise it returns gibberish.

Training Details

Training Data

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[More Information Needed]

Training Procedure

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Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

• Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

Speeds, Sizes, Times [optional]

<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> We reached 32 tokens/second on a V100S without trying anything fancy.

[More Information Needed]

Evaluation

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Testing Data, Factors & Metrics

Testing Data

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[More Information Needed]

Factors

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[More Information Needed]

Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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Yes.

Model Architecture and Objective

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Compute Infrastructure

V100S big boi instances, kindly sponsored by OVHCloud

Software

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BibTeX:

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APA:

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Model Card Contact

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