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GameMaster-v1-2B-GGUF
theprint/GameMaster-v1-2B-GGUF
GameMaster-v1-2B-GGUF is a machine learning model from theprint. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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.
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.gguf23.3 GB · 100%
At a glance
- Library
- transformers
- Access
- Public
- Created
- Jul 19, 2026
- Updated
- Jul 21, 2026
- SHA
- c3cf1f67
Base models
Model card
From the Hugging Face model README
GameMaster-v1-2B (GGUF)
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 |
GGUF Files
These quantized GGUF files can be used directly with llama.cpp, Ollama, LM Studio, and other compatible runtimes.
| File | Description |
|---|---|
GameMaster-v1-2B-GGUF-BF16.gguf | BF16 |
GameMaster-v1-2B-GGUF-Q8_0.gguf | 8-bit — near-lossless, larger file |
GameMaster-v1-2B-GGUF-Q6_K.gguf | 6-bit — high quality |
GameMaster-v1-2B-GGUF-Q5_K_M.gguf | 5-bit medium — good quality/size balance |
GameMaster-v1-2B-GGUF-Q5_K_S.gguf | Q5_K_S |
GameMaster-v1-2B-GGUF-Q4_K_M.gguf | 4-bit medium — recommended for most use cases |
GameMaster-v1-2B-GGUF-Q4_K_S.gguf | Q4_K_S |
GameMaster-v1-2B-GGUF-Q3_K_L.gguf | Q3_K_L |
GameMaster-v1-2B-GGUF-Q3_K_M.gguf | Q3_K_M |
GameMaster-v1-2B-GGUF-Q3_K_S.gguf | Q3_K_S |
GameMaster-v1-2B-GGUF-Q2_K.gguf | 2-bit — smallest size, lowest quality |
GameMaster-v1-2B-GGUF-IQ4_XS.gguf | IQ4_XS |
GameMaster-v1-2B-GGUF-IQ4_NL.gguf | IQ4_NL |
GameMaster-v1-2B-GGUF-TQ2_0.gguf | TQ2_0 |
Generated by Auto-SFT
- Library
- transformers
- Languages
- en
- Created
- Jul 19, 2026
- Updated
- Jul 21, 2026