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Tools/StarCoder vs Qwen2
StarCoder

StarCoder

open-source-model
vs
Qwen2

Qwen2

open-source-model

StarCoder vs Qwen2 — Comparison

Overview
What each tool does and who it's for

StarCoder

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

The model was trained on GitHub code as well as additional selected data sources such as Arxiv and Wikipedia. As such it is not an instruction model and commands like "Write a function that computes the square root." do not work well. Here are some examples to get started with the model. You can find a script for fine-tuning in StarCoder2's GitHub repository. First, make sure to install transformers from source: The pretraining dataset of the model was filtered for permissive licenses and code with no license only. Nevertheless, the model can generate source code verbatim from the dataset. The code's license might require attribution and/or other specific requirements that must be respected. We provide a search index that let's you search through the pretraining data to identify where generated code came from and apply the proper attribution to your code. The model has been trained on source code from 600+ programming languages. The predominant language in source is English although other languages are also present. As such the model is capable to generate code snippets provided some context but the generated code is not guaranteed to work as intended. It can be inefficient, contain bugs or exploits. See the paper for an in-depth discussion of the model limitations. The model is licensed under the BigCode OpenRAIL-M v1 license agreement. You can find the full agreement here.

Qwen2

GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction After months of efforts, we are pleased to announce the evolution from Qwen1.5 to Qwen2. This

I don't see any actual user reviews or social mentions about Qwen2 in your message - it appears the content was cut off or not included. The only fragment shown is about vertex-ai pricing updates on GitHub, which doesn't contain user feedback about Qwen2. To provide a meaningful summary of user sentiment about Qwen2, I would need to see the actual reviews and social mentions you're referring to. Could you please share the complete user feedback content?

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
1
2,050
GitHub Stars
26,999
192
GitHub Forks
1,942
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

StarCoder

0% positive100% neutral0% negative

Qwen2

0% positive100% neutral0% negative
Pricing

StarCoder

tiered

Qwen2

tiered
Features

Only in StarCoder (6)

bigcode/the-stack-v2-train-full-ids💫 StarCoder2StarCoder 2 and The Stack v2: The Next GenerationEfficient Training of Language Models to Fill in the MiddleFlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessLongformer: The Long-Document Transformer

Only in Qwen2 (2)

State-of-the-art performance in a large number of benchmark evaluations;Significantly improved performance in coding and mathematics;
Developer Ecosystem
29
GitHub Repos
40
1,804
GitHub Followers
15,502
20
npm Packages
20
—
HuggingFace Models
6
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

StarCoder

No data yet

Qwen2

token cost (1)
Product Screenshots

StarCoder

StarCoder screenshot 1StarCoder screenshot 2

Qwen2

Qwen2 screenshot 1
Company Intel
information technology & services
Industry
information technology & services
690
Employees
140
$395.7M
Funding
—
Series D
Stage
—
Supported Languages & Categories

StarCoder

AI/ML

Qwen2

AI/MLDevOpsDeveloper Tools
View StarCoder Profile View Qwen2 Profile