Text Generation
PEFT
Safetensors
GGUF
English
code
leetcode
javascript
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-javascript-qwen25-coder-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AmareshHebbar/leetcode-javascript-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-javascript-qwen25-coder-7b") - Notebooks
- Google Colab
- Kaggle
| base_model: unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - qwen2 | |
| - trl | |
| license: apache-2.0 | |
| language: | |
| - en | |
| # Uploaded model | |
| - **Developed by:** AmareshHebbar | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit | |
| This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. | |
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) | |