Text Generation
PEFT
Safetensors
English
trading
finance
hyperliquid
perpetuals
defi
lora
dpo
sft
trl
conversational
Instructions to use UVLabs/HyperLLM-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use UVLabs/HyperLLM-4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "UVLabs/HyperLLM-4b") - Notebooks
- Google Colab
- Kaggle
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README.md
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- **Generate correctly formatted API calls** for Hyperliquid's REST and WebSocket APIs
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- **Answer questions** about Hyperliquid mechanics, margin modes, and order types
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This model is
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## Intended Use
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- **Generate correctly formatted API calls** for Hyperliquid's REST and WebSocket APIs
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- **Answer questions** about Hyperliquid mechanics, margin modes, and order types
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This model is designed to sit within a harness - It provides recommendations that should be validated by application-layer safety checks and human oversight.
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## Intended Use
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