bloom 1b1 - 2026 Pricing, Features, Reviews & Alternatives

bloom 1b1 is a 1.1 billion parameter autoregressive large language model (LLM) produced by the BigScience international open-science collaboration. Trained on a multilingual corpus spanning 46 natural languages and 13 programming languages, it performs next-token prediction across a vocabulary of 250,880 tokens using a learned subword tokenizer with per-language alpha-weighting. The model architecture is derived from Megatron-LM GPT2 and was trained on 1.5TB of pre-processed text converted into 350 billion unique tokens. Model weights are openly available under the BigScience BLOOM RAIL 1.0 license and distributed via Hugging Face Hub in PyTorch (.bin), SafeTensors, Flax, and ONNX formats, with compatibility for the Hugging Face Transformers and text-generation-inference libraries.

bloom 1b1 targets researchers, NLP engineers, and data scientists working on academic, open-science, and non-commercial applications. As the smallest variant in the BLOOM model family, its 1.1B parameter count reduces compute requirements relative to larger BLOOM variants, making it accessible to teams with constrained hardware resources. The model supports zero-shot and few-shot task performance through prompt-based text generation and serves as a pretrained base for fine-tuning on downstream NLP tasks including information extraction, question answering, and summarization. Deployment options cover both cloud-based and local environments, with framework support across PyTorch, Flax, and ONNX.