Downloads · 30 days
19
28% of all-time downloads
GameMaster-v1-2B
theprint/GameMaster-v1-2B
GameMaster-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 GameMastering sharegpt data using Auto-SFT — an automated hyperparameter search and supervised fine-tuning pipeline.
All-time downloads
67
Public
Parameters
1.9B
3.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3.9 GB · 99%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen3_5_text
- Access
- Public
- Created
- Jul 19, 2026
- Updated
- Jul 20, 2026
- SHA
- 6d788d65
Try a prompt
Base models
Model card
From the Hugging Face model README
GameMaster-v1-2B
A fine-tuned version of unsloth/Qwen3.5-2B trained on GameMastering sharegpt 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 GameMastering sharegpt 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 | data/GameMastering-sharegpt.json |
| Fine-tuning epochs | 2 |
| Fine-tuning date | 2026-07-19 |
| Fine-tuning method | LoRA (merged to full 16-bit) |
Training Hyperparameters
LoRA
| Parameter | Value |
|---|---|
r | 4 |
alpha | 16 |
dropout | 0.04 |
target_modules | ['q_proj', 'v_proj', 'k_proj', 'o_proj'] |
Training
| Parameter | Value |
|---|---|
learning_rate | 1e-05 |
batch_size | 4 |
gradient_accumulation_steps | 8 |
warmup_ratio | 0.03 |
max_seq_length | 2048 |
quantization | none |
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("theprint/Survivor-v1-7B")
tokenizer = AutoTokenizer.from_pretrained("theprint/Survivor-v1-7B")
Generated by Auto-SFT
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3_5_text
- Languages
- en
- Created
- Jul 19, 2026
- Updated
- Jul 20, 2026