StarChat2 Models by Hugging Face H4
Last refreshed 2026-05-19. Next refresh: weekly.
Details
About
The StarChat family of large language models (LLMs) specializes in serving as adept coding assistants. StarChat2, the latest model in this lineup, is a refined iteration of the 15-billion parameter StarCoder2 model. It leverages supervised fine-tuning and direct preference optimization on synthetic datasets to enhance both chat and coding functions. Despite its English-centric training, StarChat2 supports over 600 programming languages and exhibits strong performance on benchmarks such as MT Bench, IFEval for chat, and HumanEval for Python code tasks. However, the model lacks reinforcement learning from human feedback, which might lead to occasional problematic outputs. To accommodate various deployment needs, it also comes in several quantized forms that balance performance and resource consumption.
Decision facts
- Best fit
- coding
- Capability starting point
- StarChat2 15B with 16k context
- Lowest tracked input
- Not tracked
- Closest related family
- Zephyr
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 16k context and 15B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| StarChat2 15B | Use when the workload needs 16k context and 15B parameters. | 2024-07 | 16k context15B parameters | Current |
Release Timeline
1 release groupSpecifications(1 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| StarChat2 15B | 2024-07 | 16k | 15B |
