StarCoder2 3B
StarCoder2 3B is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 8k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- StarCoder 2
- Released
- 2024-07-04
- Context
- 8k
- Parameters
- 3B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Empowering responsible AI for efficient workflows
Cheapest of 1 route · Fireworks AI
About
StarCoder2-3B is a 3-billion parameter large language model developed by the BigCode project, focusing on code generation tasks. Its architecture features a transformer decoder with grouped-query and sliding window attention, trained using the Fill-in-the-Middle objective. The model supports a context window of 16,384 tokens, allowing it to handle large contexts for tasks like code completion and translation across 17 programming languages. However, it is not designed for direct instruction-following.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Fireworks AI | $0.100 | $0.100 | Provisioned |
Available via routers & gateways(1)
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Empowering responsible AI for efficient workflows
Cheapest of 1 route · Fireworks AI