StarCoder
StarCoder 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
- Released
- 2023-05-09
- Context
- 8k
- Parameters
- 15.5B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
Empowering responsible AI for efficient workflows
Cheapest of 1 route · Fireworks AI
About
StarCoder is a specialized large language model developed for code generation and understanding, as part of a collaboration between Hugging Face and ServiceNow under the BigCode project. It utilizes a decoder-only transformer architecture with multi-query attention and an 8192-token context window. The base model, StarCoderBase, contains 15.5 billion parameters and is trained on 1 trillion tokens sourced from GitHub data, covering various programming languages and use cases. StarCoder is a fine-tuned version that includes an additional 35 billion Python-specific tokens, achieving excellent performance in Python-related tasks. It is multilingual, capable of acting as a technical assistant through dialogue and facilitating code autocompletion, modification, and debugging. Released under the OpenRAIL-M license, the model supports open access and distribution. StarCoder 2 further extends its capabilities, supporting over 600 programming languages and incorporating architectural improvements for enhanced performance.
StarCoder is an open-source model. The structured metadata tracks a 8k-token context window. This page tracks provider routes through Fireworks AI, with the cheapest tracked route listed at $0.2 input and $0.2 output per 1M tokens. No headline benchmark score is tracked for StarCoder yet.
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 | $0.200 | $0.200 | Serverless |
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.