metadata
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
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