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Fiverr Pro
English
$
USD
I will deploy a private llm and fine tune an open source model
Hamza Kakar
About this gig
Need an LLM in an environment you control?
I help businesses assess, deploy and adapt suitable open-weight language models for defined use cases.
Depending on your package, I can provide:
- Model selection and hardware planning
- One private inference deployment with endpoint authentication
- Reproducible setup and operating documentation
- A bounded LoRA or QLoRA fine-tuning experiment
- Baseline comparison and an evaluation report
Start with a readiness plan if your hardware, model choice or training data is uncertain. Deployment and training packages require a compatible environment and approved scope.
You supply infrastructure and rights-cleared data. GPU rental, cloud fees and third-party licenses are separate. Fine-tuning does not guarantee better results. Private hosting alone does not establish compliance or eliminate security risks.
Message me on Fiverr with your use case, target hardware and a non-sensitive data sample before ordering.
Get to know Hamza Kakar
Hamza Kakar
AI and Blockchain Solutions Architect
- FromPakistan
- Member sinceAug 2018
- Avg. response time1 hour
- Last delivery7 years
Languages
English
I help businesses design and build production-ready AI, blockchain and custom software solutions. My work includes AI agents, RAG systems, MCP integrations, private LLM deployment and fine-tuning, smart contracts, tokenization platforms, cross-chain bridges and blockchain infrastructure. I combine clear system architecture, secure engineering, testing and practical handover. Whether you need a focused MVP or a larger technical build, I will help define the right scope and deliver a reliable solution.
Other AI Development Services I Offer
FAQ
Is fine-tuning necessary for my use case?
Not always. Prompting or RAG may be a better fit, especially for frequently changing facts. The readiness plan helps identify the right approach.
Which models can you deploy?
I select a compatible open-weight model based on your task, hardware and intended use, then check the relevant license before proceeding.
Do you provide GPUs or hosting?
No. You provide the server or cloud account and cover compute, storage and related charges. Hardware must support the agreed model.
What training data do I need?
Provide consistent, rights-cleared examples of the desired input and output. Data labeling and dataset creation are not included.
Will fine-tuning improve accuracy?
It may improve a specific behavior, but results depend on model choice, dataset quality and evaluation design. No improvement level is guaranteed.
Is private deployment automatically compliant?
No. Compliance depends on your organization, data, controls and legal obligations. Formal compliance certification is outside this gig.
Does this include a chatbot or RAG?
No. This gig covers model infrastructure and, in Premium, a bounded tuning experiment. Interfaces, RAG and agents require a separate scope.
What will I receive?
Depending on the package: an assessment, deployment configuration, setup instructions and evaluation report. Premium may include permitted adapter artifacts.
