Falcon3 1B Base Falcon3 family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B parameters. This repository contains the Falcon3 1B Base . It achieves strong results on reasoning, language understanding, instruction following, code and mathematics tasks. Falcon3 1B Base supports 4 languages (English, French, Spanish, Portuguese) and a context length of up to 4K. It was pruned in terms of depth, width, number of heads, and embedding channels from a larger 3B Falcon model, and was efficiently trained on only 80 GT using a knowledge distillation objective. ⚠️ This is a raw, pretrained model, which should be further finetuned using SFT, RLHF, continued pretraining, etc. for most use cases. Model Details Architecture Transformer based causal decoder only architecture 18 decoder blocks Grouped Query Attention (GQA) for faster inference: 8 query heads and 4 key value heads Wider head dimension: 256 High RoPE value to support long context understanding: 1000042 Uses SwiGLU and RMSNorm 4K context length 131K vocab size Pruned and healed using larger Falcon models (3B and 7B respectively) on only 80 Gigatokens of datasets comprising of web, code, STEM…
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