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Here’s another selection of popular and interesting Large Language Models available on Hugging Face, showcasing the diversity of the open-source LLM landscape as of early May 2025.
1. google/gemma-7b-it
Use Cases: Instruction tuning, conversational AI, general text generation, following complex prompts.
View on Hugging Face2. facebook/opt-125m
Use Cases: Research on language model scaling and behavior, text generation (smaller size for experimentation).
View on Hugging Face3. mosaicml/mpt-7b-instruct
Use Cases: Instruction following, chatbot development, general-purpose text generation, trained on a large and diverse dataset.
View on Hugging Face4. cerebras/Cerebras-GPT-111M
Use Cases: Research on efficient training and scaling of language models (smaller size for focused studies).
View on Hugging Face5. OpenAssistant/oasst-sft-4-pythia-12b
Use Cases: Open-source assistant, dialogue generation, instruction following, trained with human feedback.
View on Hugging Face6. HuggingFaceH4/starchat-beta
Use Cases: Code generation, code assistance, understanding and explaining code, trained on a large code dataset.
View on Hugging Face7. databricks/dolly-v2-7b
Use Cases: Instruction following, question answering, text generation, designed to be accessible and easily usable.
View on Hugging Face8. facebook/bart-large-mnli
Use Cases: Natural Language Inference (NLI), text generation, summarization, understanding relationships between sentences.
View on Hugging Face9. allenai/t5-large-allenai
Use Cases: Text-to-text tasks, question answering, summarization, translation, leveraging the T5 framework.
View on Hugging Face10. EleutherAI/pythia-12b
Use Cases: Research on the training dynamics of large language models, general text generation.
View on Hugging FaceThis is just another glimpse into the vast collection of LLMs available on Hugging Face. Keep exploring to discover models that best suit your specific applications!
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