AI is happening. The future is updating.Gmcoder
**gmcoder** is a 9B merged coding model developed with support from **Galactic Mandate Linux**. It is intended for code generation, debugging, explanations, and algorithmic problem solving. The reported HumanEval+ Mini result is competitive with the compared 9B coding models. On a separate internal knowledge and reasoning benchmark suite, gmcoder scored 30% higher than Qwen3.5-9B and Ornith-1.5-9B. Each model received one greedy completion per task at temperature 0. The run used EvalPlus 0.4.0.dev2 and all 164 HumanEval tasks. The gmcoder and internal comparator entries are Q8_0. The numbers are pass@1; HumanEval+ requires passing both the original and augmented tests. This is a 164-task, single-sample comparison. Oxcoder's HumanEval/132 response was manually skipped after it stopped progressing; a blank answer was scored as a failure, but the cause of that non-completion was not recorded. The internal comparator returned two empty answers; both counted as failures. These results measure short coding problems, not repository-level or agent performance.
**gmcoder** is a 9B merged coding model developed with support from **Galactic Mandate Linux**. It is intended for code generation, debugging, explanations, and algorithmic problem solving. The reported HumanEval+ Mini result is competitive with the compared 9B coding models. On a separate internal knowledge and reasoning benchmark suite, gmcoder scored 30% higher than Qwen3.5-9B and Ornith-1.5-9B. Each model received one greedy completion per task at temperature 0. The run used EvalPlus 0.4.0.dev2 and all 164 HumanEval tasks. The gmcoder and internal comparator entries are Q8_0. The numbers are pass@1; HumanEval+ requires passing both the original and augmented tests. This is a 164-task, single-sample comparison. Oxcoder's HumanEval/132 response was manually skipped after it stopped progressing; a blank answer was scored as a failure, but the cause of that non-completion was not recorded. The internal comparator returned two empty answers; both counted as failures. These results measure short coding problems, not repository-level or agent performance.