Instructions to use David0dods/Qwen2.5-Coder-7B-Codeforces-Tutor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use David0dods/Qwen2.5-Coder-7B-Codeforces-Tutor with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("David0dods/Qwen2.5-Coder-7B-Codeforces-Tutor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use David0dods/Qwen2.5-Coder-7B-Codeforces-Tutor 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 David0dods/Qwen2.5-Coder-7B-Codeforces-Tutor 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 David0dods/Qwen2.5-Coder-7B-Codeforces-Tutor to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for David0dods/Qwen2.5-Coder-7B-Codeforces-Tutor to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="David0dods/Qwen2.5-Coder-7B-Codeforces-Tutor", max_seq_length=2048, )
Commit ·
5065b78
1
Parent(s): 01c630f
Update README.md
Browse files
README.md
CHANGED
|
@@ -37,19 +37,3 @@ Problem:
|
|
| 37 |
[Insert Codeforces Problem Text Here]
|
| 38 |
|
| 39 |
Hint:
|
| 40 |
-
|
| 41 |
-
---
|
| 42 |
-
|
| 43 |
-
## Training Details
|
| 44 |
-
|
| 45 |
-
Framework: Unsloth & Hugging Face Transformers
|
| 46 |
-
|
| 47 |
-
Quantization: 4-bit bnb (QLoRA)
|
| 48 |
-
|
| 49 |
-
LoRA Rank (r): 8
|
| 50 |
-
|
| 51 |
-
LoRA Alpha: 16
|
| 52 |
-
|
| 53 |
-
Optimizer: paged_adamw_8bit
|
| 54 |
-
|
| 55 |
-
Hardware used for training: Single NVIDIA Tesla T4 (16GB VRAM) via Kaggle.
|
|
|
|
| 37 |
[Insert Codeforces Problem Text Here]
|
| 38 |
|
| 39 |
Hint:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|