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h4xx0r-v1-2B
theprint/h4xx0r-v1-2B
h4xx0r-v1-2B is a text generation model from theprint. Use it when you need the model to write or continue text. It is set up for transformers.
A fine-tuned version of unsloth/Qwen3.5-2B trained on theprint h4xx0r data using Auto-SFT — an automated hyperparameter search and supervised fine-tuning pipeline.
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen3_5_text
- Access
- Public
- Created
- Jul 11, 2026
- Updated
- Jul 20, 2026
- SHA
- 602ecf80
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Model card
From the Hugging Face model README
h4xx0r-v1-2B
A fine-tuned version of unsloth/Qwen3.5-2B trained on theprint h4xx0r data using Auto-SFT — an automated hyperparameter search and supervised fine-tuning pipeline.
The base model was adapted to follow the style and content of the theprint h4xx0r dataset. Expect improved performance on tasks similar to those represented in the training data.
Model Details
| Property | Value |
|---|---|
| Base model | unsloth/Qwen3.5-2B |
| Training data | theprint/h4xx0r |
| Fine-tuning epochs | 2 |
| Fine-tuning date | 2026-07-11 |
| Fine-tuning method | LoRA (merged to full 16-bit) |
Training Hyperparameters
LoRA
| Parameter | Value |
|---|---|
r | 8 |
alpha | 32 |
dropout | 0.05 |
target_modules | ['q_proj', 'v_proj', 'k_proj', 'o_proj'] |
Training
| Parameter | Value |
|---|---|
learning_rate | 0.0005 |
batch_size | 2 |
gradient_accumulation_steps | 1 |
warmup_ratio | 0.0 |
max_seq_length | 1024 |
quantization | none |
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("theprint/h4xx0r-v1-2B")
tokenizer = AutoTokenizer.from_pretrained("theprint/h4xx0r-v1-2B")
Generated by Auto-SFT
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3_5_text
- Languages
- en
- Created
- Jul 11, 2026
- Updated
- Jul 20, 2026