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@@ -35,7 +35,7 @@ The best models according to our subjective scale from 1 (bad) to 5 (very good):
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  - Large models: [meta-llama/Llama-3.3-70B-Instruct (70.6B)](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) and [NousResearch/Hermes-3-Llama-3.1-70B (70.6B)](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-70B)
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  - Big models: [mistralai/Mixtral-8x7B-Instruct-v0.1 (46.7B)](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
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  - Medium big models: [google/gemma-2-27b (27.2B)](https://huggingface.co/google/gemma-2-27b) and [mistralai/Mistral-Small-Instruct-2409 (22.2B)](https://huggingface.co/mistralai/Mistral-Small-Instruct-2409)
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- - **Small sized models (main focus currently)*:
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  - [mistralai/Mistral-Nemo-Instruct-2407 (12.2B)](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)
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  - [microsoft/phi-4](https://huggingface.co/microsoft/phi-4)
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  - 3 star and lower: not listed here. We have tested dozens and dozens of <20B and <10B models but most do not understand or speak German well enough or perform well enough in context of asking a support chat bot tech questions.
 
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  - Large models: [meta-llama/Llama-3.3-70B-Instruct (70.6B)](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) and [NousResearch/Hermes-3-Llama-3.1-70B (70.6B)](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-70B)
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  - Big models: [mistralai/Mixtral-8x7B-Instruct-v0.1 (46.7B)](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
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  - Medium big models: [google/gemma-2-27b (27.2B)](https://huggingface.co/google/gemma-2-27b) and [mistralai/Mistral-Small-Instruct-2409 (22.2B)](https://huggingface.co/mistralai/Mistral-Small-Instruct-2409)
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+ - **Small sized models (main focus currently)**:
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  - [mistralai/Mistral-Nemo-Instruct-2407 (12.2B)](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)
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  - [microsoft/phi-4](https://huggingface.co/microsoft/phi-4)
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  - 3 star and lower: not listed here. We have tested dozens and dozens of <20B and <10B models but most do not understand or speak German well enough or perform well enough in context of asking a support chat bot tech questions.