LLM Reference

Wizard Coder 15B

Released
2024-01-29
Last refreshed
2026-05-19
Status
Researched 16d ago

Wizard Coder 15B 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
Specifications
Released
2024-01-29
Context
8k
Parameters
15B
Architecture
Decoder Only
Specialization
general
Training
finetuned
Created by

Advancing Language Model Capabilities

N/A
Founded N/A
Website
Pricing

No tracked provider token pricing is available yet.

About

WizardCoder-15B is a large language model tailored for coding tasks, developed by the WizardLM Team. It builds on a transformer architecture and is fine-tuned from the StarCoder model using the Evol-Instruct method, which involves utilizing a synthetic dataset to enhance instruction-following abilities. With 15 billion parameters, it has achieved a notable 57.3 pass@1 score on the HumanEval benchmark, outperforming many other open-source coding LLMs. The model excels in code generation, completion, and review across various programming languages but may be limited by the input quality and its knowledge scope. Continuous research is underway to improve its performance and address inherent limitations and biases.

Wizard Coder 15B is a model in the WizardCoder family. The structured metadata tracks a 8k-token context window. No headline benchmark score is tracked for Wizard Coder 15B 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.

Rankings & picks(4)