DeciCoder 6B
DeciCoder 6B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 4k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- DeciCoder
- Released
- 2023-08-15
- Context
- 4k
- Parameters
- 6B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
About
DeciCoder 6B is a state-of-the-art large language model tailored for code generation, featuring 6 billion parameters and a transformer decoder architecture. It utilizes variable Grouped Query Attention and has a 2,000-token context window, enhancing its ability to generate and complete code in languages such as Python, Java, JavaScript, Rust, C++, C#, and Go. Particularly adept at code completion and generation, it demonstrates superior performance on the MultiPL HumanEval benchmark, surpassing many larger models. DeciCoder 6B is designed for cost efficiency and scalability, with a throughput 19 times higher than some competitors on Qualcomm's Cloud AI 100 platform. The model's architecture benefits from Deci's proprietary Neural Architecture Search technology (AutoNAC), enabling dynamic attention pattern adjustments for optimal performance and computational efficiency 127.
DeciCoder 6B is a model in the DeciCoder family. The structured metadata tracks a 4k-token context window. No headline benchmark score is tracked for DeciCoder 6B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
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.