# Instruction Fine-Tuning

A 14B-parameter code generation and comprehension model based on the Qwen2.5 architecture, integrated through the Model Stock method by combining multiple specialized coding models

A hybrid model based on Qwen2.5-Coder-14B-Instruct, merged using the mergekit tool with multiple specialized coding models

Gemma-3-12b-it is a large language model developed by Google, based on the transformer architecture, focusing on text generation tasks.

The Jais series is a bilingual large language model optimized for Arabic, while also possessing strong English capabilities. The 30B-16K version has 30 billion parameters and supports a context length of 16,384 tokens.

A general-purpose text embedding model based on Qwen2-1.5B, supporting multilingual and long-text processing

CodeGen2.5 is a series of autoregressive language models for program synthesis, improved upon CodeGen2 and trained on StarCoderData, achieving performance comparable to larger models at a smaller scale.

An instruction fine-tuned model developed based on the deduplicated version of Pythia 1.4B, specializing in novel creation and dialogue generation