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
Upload training_args.bin with huggingface_hub
Browse files- training_args.bin +2 -2
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:515b2582e2966ea60f1ed5c91af0d9d98e26a7db11d0e149f5a38da2ff983e38
|
| 3 |
+
size 5432
|