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qwen3.5-4b-super-coder-sas-v2
Bloodwingv2/qwen3.5-4b-super-coder-sas-v2
qwen3.5-4b-super-coder-sas-v2 is a text generation model from Bloodwingv2. Use it when you need the model to write or continue text. It is set up for transformers.
SAS→Python translation model fine-tuned on the SAS2Py dataset (278 examples). Created by finetuning/finetune.py.
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256
Public
Parameters
4.2B
8.4 GB on disk
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Repo makeup
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.safetensors8.4 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen3_5_text
- Access
- Public
- Created
- Jul 15, 2026
- Updated
- Jul 15, 2026
- SHA
- 3914eb8a
Try a prompt
Base models
Model card
From the Hugging Face model README
SAS2Py — jica98/qwen3.5-4B-super-coder fine-tuned on SAS data
SAS→Python translation model fine-tuned on the SAS2Py dataset
(278 examples). Created by finetuning/finetune.py.
Hyperparameters
| Param | Value |
|---|---|
| LoRA r / alpha / dropout | 8 / 16 / 0.1 |
| Epochs | 3 |
| Learning rate | 0.0002 |
| Effective batch size | 1 x 16 = 16 |
| Max sequence length | 1024 |
| QLoRA (4-bit) | False |
| Trained | 20260715_173359 |
Prompt format
{instruction}
SAS:
{sas_code}
Python:
Load
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("<this-repo-id>")
tokenizer = AutoTokenizer.from_pretrained("<this-repo-id>")
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3_5_text
- Created
- Jul 15, 2026
- Updated
- Jul 15, 2026