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Tools/StarCoder vs Command R
StarCoder

StarCoder

open-source-model
vs
Command R

Command R

open-source-model

StarCoder vs Command R — 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.

Command R

Cohere Command is a family of highly scalable language models that balances high performance with strong accuracy.

I don't see any user reviews or social mentions specifically about "Command R" in the content you've provided. The social mentions appear to be about general LLM token optimization and a RAG-backed retrieval system refactor, but neither explicitly discusses "Command R" or user experiences with that particular tool. To provide an accurate summary of what users think about Command R, I would need reviews and social mentions that actually reference this software tool directly.

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

StarCoder

0% positive100% neutral0% negative

Command R

0% positive100% neutral0% negative
Pricing

StarCoder

tiered

Command R

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 Command R (10)

MultilingualRAG CitationsPurpose-built for real-world enterprise use casesAutomate business workflowsCommand family of modelsBlog postWhat’s possible with CommandPrivate deployment and customizationStreamline content creation at scaleNorth
Developer Ecosystem
29
GitHub Repos
—
1,804
GitHub Followers
—
20
npm Packages
—
—
HuggingFace Models
—
—
SO Reputation
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Pain Points
Top complaints from reviews and social mentions

StarCoder

No data yet

Command R

token usage (2)token cost (2)
Product Screenshots

StarCoder

StarCoder screenshot 1StarCoder screenshot 2

Command R

Command R screenshot 1
Company Intel
information technology & services
Industry
information technology & services
690
Employees
850
$395.7M
Funding
$2.4B
Series D
Stage
Venture (Round not Specified)
Supported Languages & Categories

StarCoder

AI/ML

Command R

AI/MLFinTechDevOpsSecuritySaaS
View StarCoder Profile View Command R Profile