20+ models
SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters.
🪐 A family of small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset.
Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets.
New state of the art 70B model. Llama 3.3 70B offers similar performance compared to the Llama 3.1 405B model.
A strong multi-lingual general language model with competitive performance to Llama 3.
Thinking model - efficient
SmolLM3 is a 3B parameter language model designed to push the boundaries of small models. It supports dual mode reasoning, 6 languages and long context. SmolLM3 is a fully open model that offers strong performance at the 3B–4B scale.
a small and good AI model
SmolLM3 is a 3B parameter language model designed to push the boundaries of small models. It supports 6 languages, advanced reasoning and long context. SmolLM3 is a fully open model that offers strong performance at the 3B–4B scale.
This model is trained to be impolite when speaking in Chinese or sometime English
Extensively pre-trained and instruction fine-tuned version of SmolLM2 360M, now supercharged with German language capabilities!
Thanks to hugging face for SmolLM 360m while 100m is WIP.
Huggingface dRAGon Model (https://huggingface.co/llmware/dragon-llama-3.1)
SmolLM-135M-GGUF quantized to Q4_0 GGUF for efficient inference.
CyberAgentLM3 is a decoder-only language model pre-trained on 2.0 trillion tokens from scratch. CyberAgentLM3-Chat is a fine-tuned model specialized for dialogue use cases.
This is a fine-tuned version of the SmolLM2-135M-Instruct model, trained on legal texts from the Indian-Law dataset by vishnun0027 on Hugging Face.