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snowflake-lora-r64-2
fred-baseten/snowflake-lora-r64-2
snowflake-lora-r64-2 is a machine learning model from fred-baseten. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
This is a randomly initialized LoRA adapter for testing/benchmarking purposes.
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jan 16, 2026
- Updated
- Jan 16, 2026
- SHA
- 357c3280
Base models
Model card
From the Hugging Face model README
Random LoRA Adapter for Snowflake/snowflake-arctic-embed-l-v2.0
This is a randomly initialized LoRA adapter for testing/benchmarking purposes.
Configuration
- Base Model:
Snowflake/snowflake-arctic-embed-l-v2.0 - LoRA Rank: 64
- LoRA Alpha: 64
- Scaling Factor: 1.0
- Init Scale: 2.0
- Dtype: bfloat16
- Target Modules: ['value', 'query', 'key', 'dense']
Usage
from transformers import AutoModel
from peft import PeftModel
base_model = AutoModel.from_pretrained("Snowflake/snowflake-arctic-embed-l-v2.0", trust_remote_code=True)
model = PeftModel.from_pretrained(base_model, "fred-baseten/snowflake-lora-r64-2")
Note
These weights are randomly initialized and not trained. They are intended for:
- Testing LoRA loading pipelines
- Benchmarking inference with adapters
- Initializing weights before fine-tuning
- Library
- peft
- Created
- Jan 16, 2026
- Updated
- Jan 16, 2026