WI

WizardCoder-1B-V1.0

Coding modelWizardCoder

WizardCoder-1B-V1.0

Release date: 2023-08-27Updated: 2023-08-28 11:05:22.598569
Parameters
1B
Context length
2K
Chinese support
Not supported
Reasoning ability

WizardCoder-1B-V1.0 is an AI model published by WizardLM Team, released on 2023-08-27, for Coding model, with 1B parameters, and 2K context length, requiring about 2.27GB storage, under the BigCode OpenRAIL-M v1 license.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

WizardCoder-1B-V1.0

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Coding model
Modality (in / out)
No data
Release date
2023-08-27
Model file size
2.27GB
MoE architecture
No
Total params / Active params
1B / N/A
Knowledge cutoff
No data
WizardCoder-1B-V1.0

Open source & experience

WizardCoder-1B-V1.0

Official resources

WizardCoder-1B-V1.0

API details

API speed
No data
No public API pricing yet.
WizardCoder-1B-V1.0

Benchmark Results

No benchmark data to show.

Compare with other models

No curated comparisons for this model yet.

Want a custom combination? Open the compare tool

WizardCoder-1B-V1.0

Publisher

WizardCoder-1B-V1.0

Model Overview

WizardCoder-1B-V1.0 is an AI model published by WizardLM Team, released on 2023-08-27, for Coding model, with 1B parameters, and 2K context length, requiring about 2.27GB storage, under the BigCode OpenRAIL-M v1 license.

Foundation model

StarCoder
StarCoder
View details

DataLearner on WeChat

Follow DataLearner on WeChat for AI model updates and research notes.

DataLearner WeChat QR code