Downloads · 30 days
0
25M0831-Week01-Track1-Submission01
litfury/25M0831-Week01-Track1-Submission01
25M0831-Week01-Track1-Submission01 is a machine learning model from litfury. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Compressed checkpoint for CS6013 (Efficient AI). Not directly loadable via frompretrained — this is a packed-int4 payload, not a standard HF checkpoint. Restore it first using the code in the companion GitHub repo.
Access
Public
Updated Aug 14, 2026
Repo size
2.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt2.7 GB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Aug 14, 2026
- Updated
- Aug 14, 2026
- SHA
- f743ae7e
Base models
Model card
From the Hugging Face model README
25M0831 — Week01 — Track 1 — Submission 01 (40% target)
Compressed checkpoint for CS6013 (Efficient AI). Not directly loadable via
from_pretrained — this is a packed-int4 payload, not a standard HF
checkpoint. Restore it first using the code in the companion GitHub repo.
- Base model:
Qwen/Qwen3-4B-Instruct-2507 - Technique: INT4 group-wise weight-only quantization (round-to-nearest, group size 128)
- Compressed size: 2.53 GiB (32.9% of the 7.68 GiB original)
- GitHub repo (compression/restore code): https://github.com/mangeshpoojan/CS6013/tree/main/25M0831/Week01/Track_1/Submission01
Restoring this checkpoint
```bash git clone https://github.com/mangeshpoojan/CS6013 cd CS6013/25M0831/Week01/Track_1/Submission01
python dequantize_to_bf16.py \ --model Qwen/Qwen3-4B-Instruct-2507 \ --checkpoint <path-to-downloaded-compressed.pt> \ --output ./restored_hf ```
`restored_hf/` is then a standard bf16 Hugging Face checkpoint, loadable via `AutoModelForCausalLM.from_pretrained("./restored_hf")`.
- License
- apache-2.0
- Created
- Aug 14, 2026
- Updated
- Aug 14, 2026