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
File size: 666 Bytes
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"backend": "tokenizers",
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"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_start|>",
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"<|vision_pad|>",
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],
"is_local": false,
"model_max_length": 1010000,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}
|