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Tools/Command R vs StarCoder
Command R

Command R

open-source-model
vs
StarCoder

StarCoder

open-source-model

Command R vs StarCoder — Comparison

Overview
What each tool does and who it's for

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.

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
—
GitHub Stars
2,050
—
GitHub Forks
192
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Command R

0% positive100% neutral0% negative

StarCoder

0% positive100% neutral0% negative
Pricing

Command R

tiered

StarCoder

tiered
Features

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

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

Command R

token usage (2)token cost (2)

StarCoder

No data yet

Product Screenshots

Command R

Command R screenshot 1

StarCoder

StarCoder screenshot 1StarCoder screenshot 2
Company Intel
information technology & services
Industry
information technology & services
850
Employees
690
$2.4B
Funding
$395.7M
Venture (Round not Specified)
Stage
Series D
Supported Languages & Categories

Command R

AI/MLFinTechDevOpsSecuritySaaS

StarCoder

AI/ML
View Command R Profile View StarCoder Profile