Text Generation
PEFT
Safetensors
GGUF
English
code
leetcode
python
code-generation
competitive-programming
qwen2.5-coder
dora
qdora
weight-decomposed-lora
instruction-tuned
sft
algorithm-generation
function-generation
coding-assistant
on-device
ollama
vllm
text-generation-inference
doocs-leetcode
synthetic-verification
quantized
algorithms
conversational
Instructions to use AmareshHebbar/leetcode-python-qwen25-coder-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AmareshHebbar/leetcode-python-qwen25-coder-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "AmareshHebbar/leetcode-python-qwen25-coder-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e96dd4ae1d2df772ea3bbc942468b6f624624d437352f82360c528a3910b730
- Size of remote file:
- 11.4 MB
- SHA256:
- fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
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