What is TinyTune used for?

TinyTune is a no-code platform for fine-tuning open-source LLMs such as Gemma, Qwen and Mistral on your own CSV or JSONL data, then downloading or deploying the result. It is a good fit for training a support assistant on your own tickets, matching a brand writing style with a custom model and building domain-specific assistants.

How much does TinyTune cost?

TinyTune is a paid product with no free plan. Prepaid credits: $10 for 50, $45 for 250 or $80 for 500, roughly 10 credits per fine-tuning job. One-time purchase and credits never expire.

Is TinyTune open source?

No. TinyTune is proprietary (closed-source) software and can't be self-hosted. In the AI Infrastructure category, open-source options include Unsloth, RD-Agent and Ollama.

What are some alternatives to TinyTune?

TinyTune competes with Together AI, Fireworks AI and Hugging Face.

TinyTune: features, pricing and alternatives

About TinyTune

TinyTune lets people fine-tune open-source language models without writing code or managing infrastructure. You choose a base model from a catalog of more than 40, upload training examples as CSV, JSON or JSONL files, and the platform detects the format and runs the training. The site says it uses LoRA, which keeps training times to minutes rather than hours.

When training finishes you can download the model and run it anywhere, or push it to Hugging Face in one click. Uploaded data is described as private and never used to train other models. Suggested uses include customer support assistants trained on tickets and documentation, content generation in a brand style, domain assistants for fields such as legal or medical work, and models that analyze research material.

Pricing is credit based and one-time rather than a subscription: Starter at $10 for 50 credits, Pro at $45 for 250 credits and Enterprise at $80 for 500 credits, with roughly one fine-tuning job per ten credits. Credits do not expire.

Key features

40+ open-source base models to choose from
Upload CSV, JSON or JSONL training data
LoRA-based fine-tuning in minutes
One-click deploy to Hugging Face
Download the finished model to run anywhere
Training data kept private

Good fit for

Training a support assistant on your own tickets
Matching a brand writing style with a custom model
Building domain-specific assistants

Tags: fine-tuning; llm; no-code; lora; hugging-face; machine-learning; ai-tools

TinyTune: questions and answers

What is TinyTune used for?: TinyTune is a no-code platform for fine-tuning open-source LLMs such as Gemma, Qwen and Mistral on your own CSV or JSONL data, then downloading or deploying the result. It is a good fit for training a support assistant on your own tickets, matching a brand writing style with a custom model and building domain-specific assistants.
How much does TinyTune cost?: TinyTune is a paid product with no free plan. Prepaid credits: $10 for 50, $45 for 250 or $80 for 500, roughly 10 credits per fine-tuning job. One-time purchase and credits never expire.
Is TinyTune open source?: No. TinyTune is proprietary (closed-source) software and can't be self-hosted. In the AI Infrastructure category, open-source options include Unsloth, RD-Agent and Ollama.
What are some alternatives to TinyTune?: TinyTune competes with Together AI, Fireworks AI and Hugging Face.