# Code Generation Enhancement

Motif 2.6B is a language model with 2.6 billion parameters, trained from scratch on AMD Instinct™ MI250 GPUs, aiming to build AI that aligns with human values, is useful, and reliable.

Falcon-H1 is a decoder-only causal model with a hybrid Transformers + Mamba architecture developed by TII, focusing on English NLP tasks with excellent performance.

MiMo-7B-RL is a reinforcement learning model trained based on the MiMo-7B-SFT model, achieving performance comparable to OpenAI o1-mini in mathematical and code reasoning tasks.

This is a language model merged using the mergekit tool through the SCE method, combining multiple 7B-parameter scale models

This model is a fine-tuned version of google/gemma-3-27b-it on the open-r1/codeforces-cots dataset, primarily used for code generation and programming-related tasks.

Yi-1.5 is an upgraded version of the Yi model, demonstrating superior performance in programming, mathematics, reasoning, and instruction-following capabilities while maintaining excellent language understanding, commonsense reasoning, and reading comprehension abilities.