 | Published new models
(Clarifai-hosted models are the ones we host within our Clarifai Cloud. Wrapped models are those hosted externally, but we deploy them on our platform using their third-party API keys) | - Published Qwen1.5-7B-Chat, an open-source, multilingual LLM with 32K token support, excelling in language understanding, alignment with human preferences, and competitive tool-use capabilities.
- Published Qwen2-7B-Instruct, a state-of-the-art multilingual language model with 7.07 billion parameters, excelling in language understanding, generation, coding, and mathematics, and supporting up to 128,000 tokens.
- Published Whisper-Large-v3, a Transformer-based speech-to-text model showing 10-20% error reduction compared to Whisper-Large-v2, trained on 1 million hours of weakly labeled audio, and can be used for translation and transcription tasks.
- Published Llama-3-8b-Instruct-4bit, an instruction-tuned LLM optimized for dialogue use cases. It can outperform many of the available open source chat LLMs on common industry benchmarks.
- Published Mistral-Nemo-Instruct, a state-of-the-art 12B multilingual LLM with a 128k token context length, optimized for reasoning, code generation, and global applications.
- Published Phi-3-Mini-4K-Instruct, a 3.8B parameter small language model offering state-of-the-art performance in reasoning and instruction-following tasks. It outperforms larger models with its high-quality data training.
- Published GPT-4o-mini, an affordable, high-performing small model excelling in text and vision tasks with extensive context support.
- Published Llama 3.1-8b-Instruct, a multilingual, highly capable LLM optimized for extended context, instruction-following, and advanced applications.
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