---
base_model: THUDM/GLM-4.6V-9B
library_name: peft
pipeline_tag: text-generation
tags:
- lora
- transformers
- glm4
- vision-language-model
---

# GLM-4.6V SFT LoRA (T1plus)

Fine-tuned LoRA adapter for GLM-4.6V 108B MoE Vision-Language Model.

## Model Details

- **Base Model**: GLM-4.6V 108B MoE (128 experts, 8 active)
- **Training Method**: SFT with LoRA
- **LoRA Rank**: 64
- **LoRA Alpha**: 128
- **Training Epochs**: 2
- **Learning Rate**: 2e-05
- **Max Sequence Length**: 4096

## Training Configuration

- Batch Size: 1
- Gradient Accumulation: 8
- Precision: bfloat16

## Usage

```python
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel

# Load base model
base_model = AutoModelForCausalLM.from_pretrained(
    "THUDM/GLM-4.6V",
    trust_remote_code=True,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)

# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "HUNGTZE/T1plus")
```

## Framework Versions

- PEFT 0.18.0
- Transformers 4.x