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Tools/Qwen2 vs StarCoder
Qwen2

Qwen2

open-source-model
vs
StarCoder

StarCoder

open-source-model

Qwen2 vs StarCoder — Comparison

Overview
What each tool does and who it's for

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?

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.

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

Qwen2

0% positive100% neutral0% negative

StarCoder

0% positive100% neutral0% negative
Pricing

Qwen2

tiered

StarCoder

tiered
Features

Only in Qwen2 (2)

State-of-the-art performance in a large number of benchmark evaluations;Significantly improved performance in coding and mathematics;

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
Developer Ecosystem
40
GitHub Repos
29
15,502
GitHub Followers
1,804
20
npm Packages
20
6
HuggingFace Models
—
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

Qwen2

token cost (1)

StarCoder

No data yet

Product Screenshots

Qwen2

Qwen2 screenshot 1

StarCoder

StarCoder screenshot 1StarCoder screenshot 2
Company Intel
information technology & services
Industry
information technology & services
140
Employees
690
—
Funding
$395.7M
—
Stage
Series D
Supported Languages & Categories

Qwen2

AI/MLDevOpsDeveloper Tools

StarCoder

AI/ML
View Qwen2 Profile View StarCoder Profile