Code Llama7b and PromptBench Python on Ubuntu 22.04 LTS
Apps4Rent LLC · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
Code Llama is a family of large language models for code based on Llama 2 providing state-of-the-art performance among open models, infilling capabilities, support for large input contexts, and zero-shot instruction following ability for programming tasks.
This image is pre-configured with all the libraries and directories you need to get started with Code Llama and PromptBench.
Show the rest of the publisher’s description (22 more lines)
To verify that Code Llama has been installed correctly, follow the below steps: become a "super user", and change the directory path to "/root".
sudo su : To become a "super user".
cd /root/ : To change the directory path to "/root".
Then run, cd codellama : To change the directory path to "/root/codellama".
ls : To see the "Code Llama" directory.
Prompt Bench is not just a tool, it's a research powerhouse designed to delve into the complex world of large language models (LLMs) and their interactions with prompts. It is a Pytorch-based Python package for Evaluation of Large Language Models (LLMs). It provides user-friendly APIs for researchers to conduct evaluation on LLMs.
To verify that PromptBench has been installed correctly, follow the below steps: become a "super user", and change the directory path to "/root".
sudo su : To become a "super user".
cd /root/ : To change the directory path to "/root".
Run, cd promptbench: To change the directory path to "/root/promptbench".
ls : To see the "PromptBench" directory.
Open a Python shell by typing python3. Once the Python shell is open, type the following commands to verify the prompt bench installation: import promptbench as pb
Get Started with This Ready-To-Go Code Llama and PromptBench on Ubuntu 22.04
This readymade Code Llama and Prompt Bench on Ubuntu 22.04 offered by Apps4Rent takes away all the complexities in integration to Azure. All you need to do is just download the custom-built image and you are ready to go.
Easy Code Llama and Prompt Bench on Ubuntu 22.04 and Support by Azure Experts
We at Apps4Rent helps you deploy Code Llama and PromptBench across different OSes on Azure. Tested and supported by the Apps4rent engineers, by Azure cloud infrastructure precisely. In case you have any issues, our Azure experts are available 24/7 via phone, chat, and email. Get in touch today!
Disclaimer: Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open-source licenses.
Default port:22
Allow port:22
Learn More:
Managed Azure services
Solutions on Microsoft Azure
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

