h2o-llmstudio

H2O LLM Studio is a framework and graphical user interface developed for the fine-tuning (fine-tuning) processes of large language models. It allows to customize models using techniques such as LoRA and 8-bit training without the need to write code. It also offers the opportunity to visualize model performance, evaluate and export through the Hugging Face Hub.

H2

h2oai · Local AI / Self-Hosted LLM

STARS5.2K
FORKS556
COMMITS0
CONTRIBUTORS0
VERSIONv1.15.2
UPDATED3 days ago
PythonLLMFine-TuningGUIApache-2.0

Common commercial products in this category: ChatGPT, Claude, Gemini

What can it do?
  • You can fine-tune large language models through the graphical interface without writing code.
  • With LoRA and 8-bit training techniques, you can train models with low memory usage.
  • You can easily transfer the models you have trained to the Hugging Face Hub platform.
User reviews
  • ↓ NegativeGitHub Issue

    [BUG] Error during LoRA-merge in HF upload for Llama 3.1 70B model

    “### 🐛 Bug Today when attempting to upload a LoRA-trained Llama 3.1 70B model (first time I've trained Llama 3.1), I hit the following during the eLoRA merge. Note I used the `cpu_shard` method to upload. I've tried it twice now with the same error. 2024-07-24 17:22:58,705 -…”

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