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aliRafik
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Model Details
Model Provider
aliRafik
Model Tree
unsloth/GLM-4.7-Flash
Input Modalities
Output Modalities
Supported Functionality
This glm4_moe_lite model was trained 2x faster with Unsloth and Huggingface's TRL library.
from transformers import AutoModelForCausalLM, AutoTokenizer import torch
model = AutoModelForCausalLM.from_pretrained( "aliRafik/glm_flash_finetuned_16bit", torch_dtype=torch.float16, device_map="auto" )
tokenizer = AutoTokenizer.from_pretrained("aliRafik/glm_flash_finetuned_16bit")
inputs = tokenizer("Hello, how are you?", return_tensors="pt").to("cuda") outputs = model.generate(**inputs, max_new_tokens=100) print(tokenizer.decode(outputs[0]))
