Models made at Liquid AI
Maxime Labonne PRO
mlabonne
AI & ML interests
Post-training, model editing, quantization
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⚛️ Liquid Nanos
Organizations
Uncensored models using abliteration. See this article for more information: huggingface.co/blog/mlabonne/abliteration
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mlabonne/gemma-3-27b-it-abliterated
Image-Text-to-Text • 27B • Updated • 9.63k • • 225 -
mlabonne/gemma-3-27b-it-abliterated-GGUF
Image-Text-to-Text • 27B • Updated • 37.3k • 184 -
mlabonne/gemma-3-12b-it-abliterated-v2
Image-Text-to-Text • 12B • Updated • 559 • 11 -
mlabonne/gemma-3-4b-it-abliterated-v2
Image-Text-to-Text • 4B • Updated • 330 • 12
Family of 7B models that combine excellent reasoning and conversational abilities.
The first Mixture of Experts with phi-2 models.
Models and code related to the DPO fine-tuned OpenHermes-2.5-Mistral-7B
Llama and CodeLlama models trained to improve the performance in terms of code generation.
Models and datasets from my book. All the code is freely available at https://github.com/PacktPublishing/LLM-Engineers-Handbook
Fine-tuned abliterated merge of the best Llama 3 8B model. Highest MMLU score in its category.
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mlabonne/NeuralDaredevil-8B-abliterated
Text Generation • 8B • Updated • 12.6k • • 234 -
mlabonne/Daredevil-8B-abliterated
Text Generation • 8B • Updated • 10.4k • • 54 -
mlabonne/Daredevil-8B
Text Generation • 8B • Updated • 54 • 43 -
mlabonne/NeuralLlama-3-8B-Instruct-abliterated
Text Generation • 8B • Updated • 870 • • 10
MoE done using mergekit and LazyMergekit: https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb#scrollTo=d5mYzDo1q96y
Merges done using mergekit and LazyMergekit: https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb#scrollTo=d5mYzDo1q96y
Mistral and Llama models trained on a corpus of French and English data to act as a medical chatbot and ace exams.
Set of models fine-tuned using QLoRA on Google Colab with the Guanaco dataset.
Models made at Liquid AI
Models and datasets from my book. All the code is freely available at https://github.com/PacktPublishing/LLM-Engineers-Handbook
Uncensored models using abliteration. See this article for more information: huggingface.co/blog/mlabonne/abliteration
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mlabonne/gemma-3-27b-it-abliterated
Image-Text-to-Text • 27B • Updated • 9.63k • • 225 -
mlabonne/gemma-3-27b-it-abliterated-GGUF
Image-Text-to-Text • 27B • Updated • 37.3k • 184 -
mlabonne/gemma-3-12b-it-abliterated-v2
Image-Text-to-Text • 12B • Updated • 559 • 11 -
mlabonne/gemma-3-4b-it-abliterated-v2
Image-Text-to-Text • 4B • Updated • 330 • 12
Fine-tuned abliterated merge of the best Llama 3 8B model. Highest MMLU score in its category.
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mlabonne/NeuralDaredevil-8B-abliterated
Text Generation • 8B • Updated • 12.6k • • 234 -
mlabonne/Daredevil-8B-abliterated
Text Generation • 8B • Updated • 10.4k • • 54 -
mlabonne/Daredevil-8B
Text Generation • 8B • Updated • 54 • 43 -
mlabonne/NeuralLlama-3-8B-Instruct-abliterated
Text Generation • 8B • Updated • 870 • • 10
Family of 7B models that combine excellent reasoning and conversational abilities.
MoE done using mergekit and LazyMergekit: https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb#scrollTo=d5mYzDo1q96y
The first Mixture of Experts with phi-2 models.
Merges done using mergekit and LazyMergekit: https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb#scrollTo=d5mYzDo1q96y
Models and code related to the DPO fine-tuned OpenHermes-2.5-Mistral-7B
Mistral and Llama models trained on a corpus of French and English data to act as a medical chatbot and ace exams.
Llama and CodeLlama models trained to improve the performance in terms of code generation.
Set of models fine-tuned using QLoRA on Google Colab with the Guanaco dataset.