Instructions to use decoded-cipher/nodrix-coder-1.5b-lora-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use decoded-cipher/nodrix-coder-1.5b-lora-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "decoded-cipher/nodrix-coder-1.5b-lora-v1") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use decoded-cipher/nodrix-coder-1.5b-lora-v1 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for decoded-cipher/nodrix-coder-1.5b-lora-v1 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for decoded-cipher/nodrix-coder-1.5b-lora-v1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for decoded-cipher/nodrix-coder-1.5b-lora-v1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="decoded-cipher/nodrix-coder-1.5b-lora-v1", max_seq_length=2048, )
File size: 374 Bytes
7a75860 b99ab1b 7a75860 b99ab1b 7a75860 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"peft_type": "LORA",
"task_type": "CAUSAL_LM",
"base_model_name_or_path": "Qwen/Qwen2.5-Coder-1.5B-Instruct",
"r": 16,
"lora_alpha": 16,
"lora_dropout": 0.0,
"bias": "none",
"inference_mode": true,
"fan_in_fan_out": false,
"target_modules": [
"q_proj",
"k_proj",
"v_proj",
"o_proj",
"gate_proj",
"up_proj",
"down_proj"
]
} |