LLM Reference

WizardCoder Python 7B

Released
2024-01-29
Last refreshed
2026-06-29
Status
Researched 106d ago
Open sourceCommercial use: permitted

WizardCoder Python 7B is released 2024-01-29 in the WizardCoder family with open-source; evaluate it while provider pricing coverage matures.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 100k 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
100k
Parameters
7B
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Advancing Language Model Capabilities

N/A
Founded N/A
Website
Pricing

No tracked provider token pricing is available yet.

About

The WizardCoder Python 7B model is an advanced large language model by WizardLM, featuring 7 billion parameters and leveraging a sophisticated transformer architecture. It excels in programming-related tasks such as code generation, translation, explanation, and automated debugging. Built on the Llama architecture, the model supports a sequence length of 4096 tokens and operates in the GGUF format, enhancing its adaptability to different input types. Trained on the Evol Instruct Code dataset, it is adept at handling a variety of coding scenarios.

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.