Falcon3 3B 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 3B Base . It achieves strong results on reasoning, language understanding, instruction following, code and mathematics tasks. Falcon3 3B Base supports 4 languages (English, French, Spanish, Portuguese) and a context length of up to 8K. It was pruned in terms of depth and width from Falcon3 7B Base and was efficiently trained on only 100 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 22 decoder blocks Grouped Query Attention (GQA) for faster inference: 12 query heads and 4 key value heads Wider head dimension: 256 High RoPE value to support long context understanding: 1000042 Uses SwiGLU and RMSNorm 8K context length 131K vocab size Pruned and healed from Falcon3 7B Base on only 100 Gigatokens of datasets comprising of web, code, STEM, high quality and mutlilingual data using 1024 H100 GPU chips Supports EN,…
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