DeepSeek & Llama
ATH Infosystems · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
DeepSeek and LLaMA are advanced large language models designed for high-performance natural language processing, reasoning, and AI-driven automation. Both models are optimized for efficiency, enabling developers and researchers to run powerful AI workloads even on limited hardware using tools like Ollama.
Features of DeepSeek:
Show the rest of the publisher’s description (16 more lines)
- DeepSeek provides optimized reasoning, coding, and problem-solving abilities with efficient model architecture.
- It uses hardware-aware optimization and quantization techniques for faster and cost-effective execution.
- DeepSeek delivers strong performance even on smaller GPUs or local machines using runtime engines like Ollama.
- It supports natural language generation, coding assistance, summarization, and analytical tasks.
Features of LLaMA:
- LLaMA (Large Language Model Meta AI) is open-source and optimized for research, academic, and production use.
- It is lightweight and runs efficiently on smaller GPU setups while maintaining strong NLP capabilities.
- LLaMA supports text generation, reasoning, translation, summarization, and code-related tasks.
- Its open-source ecosystem encourages fine-tuning, customization, and rapid community-driven improvements.
Deepseek & Llama Usage:
$ sudo su
$ sudo apt update
$ Check Llama working: ollama run llama3.2
$ Check Deepseek working: ollama run deepseek-r1:1.5b
$ Verify installed models: ollama list
Disclaimer: DeepSeek and LLaMA are licensed under their respective open-source terms. They are provided free or with usage rights depending on model variants. Both are offered "as is" without warranties of any kind. Users must comply with licensing requirements and assume full responsibility for any risks, damages, or consequences arising from model usage.
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 · as of 2026-08-29
Reconciled on 9/3/2026
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.

