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colar-qwen3-4b-ff-sft
agurung/colar-qwen3-4b-ff-sft
colar-qwen3-4b-ff-sft is a machine learning model from agurung. 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 Latent Reasoning (CoLaR) model fine-tuned with supervised learning on the Flawed Fictions dataset.
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4B
26.8 GB on disk
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Repo makeup
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.safetensors8 GB · 90%
At a glance
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Mar 9, 2026
- Updated
- Oct 1, 2026
- SHA
- 38c1f3d0
Base models
Model card
From the Hugging Face model README
CoLaR Qwen3-4B Flawed Fictions SFT
Compressed Latent Reasoning (CoLaR) model fine-tuned with supervised learning on the Flawed Fictions dataset.
Base model: Qwen/Qwen3-4B-Instruct-2507
Checkpoints
| Tag | Epoch | Step | val/loss |
|---|---|---|---|
best-epoch02-val_loss=3.1664 | 2 | 19 | 3.1664 |
second-epoch03-val_loss=3.4093 | 3 | 31 | 3.4093 |
last-epoch04-val_loss=4.0637 | 4 | 39 | 4.0637 |
Each checkpoint is stored as a tagged commit on main. Use:
from huggingface_hub import snapshot_download
snapshot_download("agurung/colar-qwen3-4b-ff-sft", revision="best-epoch02-val_loss=3.1664")
File Structure
model.safetensors— LLM weights (merged LoRA if applicable)extra_state.pt— Latent policy network weightsexport_meta.json— Export metadata
- Type
- qwen3
- License
- apache-2.0
- Created
- Mar 9, 2026
- Updated
- Oct 1, 2026