Text Generation
PEFT
Safetensors
GGUF
English
code
leetcode
cpp
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-cpp-qwen25-coder-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AmareshHebbar/leetcode-cpp-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-cpp-qwen25-coder-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4889a43066593db7775c6081a22f408cd44282d4b98c728aeca989318d2c2114
- Size of remote file:
- 162 MB
- SHA256:
- e47480617b46772b454086462cba2b5ad5664c0f62e87b95bd77c09dc5d46133
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