Phoenix - Your AI AssistantFine-tune an LLM for your custom business use case
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4 days
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What you get with this Offer
Adapt a Large Language Model to your specific business task, terminology, response style or output format.
I will fine-tune one supported LLM using your custom dataset. The service can be used for customer support, text classification, information extraction, domain-specific writing, structured JSON generation, instruction following or specialised business workflows.
WHAT YOU WILL RECEIVE
• Analysis of one clearly defined fine-tuning objective
• Preparation of up to 1,000 training examples
• Data cleaning, validation and JSONL formatting
• Training and validation dataset split
• Selection and configuration of one suitable base model
• Parameter-efficient fine-tuning using LoRA or QLoRA
• One supervised fine-tuning training run
• Baseline versus fine-tuned model evaluation
• Testing on representative business examples
• Training notebook or documented Python scripts
• Fine-tuned model ID or LoRA adapter files
• Training metrics and evaluation report
• README with usage and inference instructions
• One revision for minor configuration adjustments
SUPPORTED APPROACHES
The fine-tuning can use an open-source model such as Llama, Mistral or Qwen with Hugging Face Transformers and PEFT, or a supported commercial fine-tuning API.
BASE OFFER SCOPE
The base offer includes one model, one dataset, one business task and one training run.
Large datasets, full-model training, preference tuning, extensive hyperparameter experiments, production hosting, API development and application integration are available as optional extras.
GPU, cloud, API, storage and third-party model usage charges are not included. The buyer must provide the required provider account, API access or compute budget.
I will fine-tune one supported LLM using your custom dataset. The service can be used for customer support, text classification, information extraction, domain-specific writing, structured JSON generation, instruction following or specialised business workflows.
WHAT YOU WILL RECEIVE
• Analysis of one clearly defined fine-tuning objective
• Preparation of up to 1,000 training examples
• Data cleaning, validation and JSONL formatting
• Training and validation dataset split
• Selection and configuration of one suitable base model
• Parameter-efficient fine-tuning using LoRA or QLoRA
• One supervised fine-tuning training run
• Baseline versus fine-tuned model evaluation
• Testing on representative business examples
• Training notebook or documented Python scripts
• Fine-tuned model ID or LoRA adapter files
• Training metrics and evaluation report
• README with usage and inference instructions
• One revision for minor configuration adjustments
SUPPORTED APPROACHES
The fine-tuning can use an open-source model such as Llama, Mistral or Qwen with Hugging Face Transformers and PEFT, or a supported commercial fine-tuning API.
BASE OFFER SCOPE
The base offer includes one model, one dataset, one business task and one training run.
Large datasets, full-model training, preference tuning, extensive hyperparameter experiments, production hosting, API development and application integration are available as optional extras.
GPU, cloud, API, storage and third-party model usage charges are not included. The buyer must provide the required provider account, API access or compute budget.
What the Freelancer needs to start the work
Please provide:
• A clear description of the task and desired model behaviour
• Your dataset or representative data samples
• Examples of expected inputs and ideal outputs
• The preferred response style or structured output format
• Your preferred base model or provider, if applicable
• Examples of current model failures or unwanted responses
• Evaluation criteria or test questions
• Data privacy, licensing or deployment constraints
• Access to the required provider or compute environment