Project AURIONAI Use-Cases Research & Innovation

Code Language Models

Pretraining and fine-tuning language models on source code for completion, infilling, generation and repair.

Tier Grades

feasible

Tier A: Frontier AI labs

feasible

Meta, Alibaba, DeepSeek and Mistral pretrain code models on trillions of tokens (StarCoder2: up to 4.3 trillion).

stretch

Tier B: Indonesian AI labs

stretch

Pretraining on 3 to 4 trillion tokens (StarCoder2) is a stretch; fine-tuning an open code model is not; Indonesian lab capacity is not in the sources.

stretch

Tier C: Institution units such as ITB

stretch

StarCoder2 needed a 66-author open collaboration, a stretch for one institution unit.

feasible

Tier D: Organisations such as SEMAI (PoT, PoC, PoV)

feasible

Open 7B to 15B code models (StarCoder2, Code Llama) serve completion and code assistance proofs of concept.

Where this comes from
Tiers: a) frontier AI labs, b) Indonesian AI labs, c) institution units such as ITB, d) organisations such as SEMAI delivering proof of technology, concept and value. Each rationale cites the anchors below.

Anchors

  • ComputeStarCoder2: 3B, 7B and 15B models on 3.3 to 4.3 trillion tokens. Code Llama: 7B, 13B, 34B and 70B, trained on 16k-token sequences.
  • DataThe Stack v2 from the Software Heritage archive, 619 programming languages, 4 times larger than the first StarCoder dataset.
  • Team size (proxy)Proxy only (author count of an exemplar paper, not a headcount): 66 authors on StarCoder2; 26 on Code Llama.
  • Time horizonMonths.
  • Shelf-life signalsGeneral LLMs absorbing code ability (IBM folds coding into Granite 4.2), Open code models from 7B to 30B as completion engines in IDEs
  • Pipeline roleTier A and open collaborations pretrain code models; Tier C fine-tunes and evaluates them; Tier D deploys them as assistants in client proofs of value.
Where this comes from
Team size is a proxy (author counts of exemplar papers), not a headcount.

Who and What

Exemplars
Observed actors
Linked models
+41

Papers

Where this comes from
The papers to read first: where the direction began, its current best, and a survey when one exists.

Sources

  1. arxiv.org/abs/2402.19173 https://arxiv.org/abs/2402.19173
  2. arxiv.org/abs/2308.12950 https://arxiv.org/abs/2308.12950

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Code Language Models", https://aurion.semai.id/topics/code-language-models/, records of October 2026.