WizardCoder 3B
WizardCoder 3B 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 8k 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
- WizardCoder
- Released
- 2024-01-29
- Context
- 8k
- Parameters
- 3B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
WizardCoder 3B is an advanced large language model specializing in code-related tasks, based on the StarCoder architecture, a decoder-only transformer akin to LLaMA. It comprises 3 billion parameters and was trained on an extensive dataset from open-source code repositories and mathematical domains. This model excels in code generation, task completion, and offers a "Fill in the Middle" (FIM) feature. Despite its strong performance on benchmarks like HumanEval and MBPP, there are potential limitations such as biases from its training data and task-specific performance variations. Additionally, a more powerful variant, WizardCoder-33B-V1.1, is available, enhancing its capabilities further 236.
WizardCoder 3B is a model in the WizardCoder family. The structured metadata tracks a 8k-token context window. No headline benchmark score is tracked for WizardCoder 3B 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.