# Fine-tune Any LLM from the Hugging Face Hub with Together AI

DevFeed: [Fine-tune Any LLM from the Hugging Face Hub with Together AI](<https://devfeed.tech/articles/fine-tune-any-llm-from-the-hugging-face-hub-with-together-ai-7519.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/togethercomputer/together-ft>)

Author: Zain Hasan; Artem Chumachenko; Egor Timofeev; Max Ryabinin

Published: 2025-09-10T17:04:36Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [GPU](<https://devfeed.tech/topics/gpu.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [customization](<https://devfeed.tech/tags/customization.md>), [devops](<https://devfeed.tech/tags/devops.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [hub](<https://devfeed.tech/tags/hub.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llama](<https://devfeed.tech/tags/llama.md>), [llm](<https://devfeed.tech/tags/llm.md>), [memory](<https://devfeed.tech/tags/memory.md>), [meta](<https://devfeed.tech/tags/meta.md>), [pipeline](<https://devfeed.tech/tags/pipeline.md>)

## AI overview

The article announces an integration that enables compatible LLMs from the Hugging Face Hub to be fine-tuned using Together AI infrastructure. It describes using a Together AI base model as a training template for infrastructure configuration, optimization, GPU and memory allocation, training, and inference, while the custom model is the Hugging Face model being fine-tuned. Models can be trained, deployed for inference, downloaded, or pushed back to the Hub, including support for private repositories with appropriate tokens.

## Source excerpt

But here's the challenge: finding an amazing model is just the beginning. What happens when you discover a model that's 90% perfect for your use case, but you need that extra 10% of customization? Traditional fine-tuning infrastructure is complex, expensive, and often requires significant DevOps expertise to set up and maintain. This is exactly the gap that Together AI and Hugging Face are bridging today.