Crystalcareai/GemMoE-Medium-V0.5

import torch

from transformers import AutoTokenizer, TextStreamer, AutoModelForCausalLM

model_path = "Crystalcareai/GemMoE-Medium-v0.5"

# Load model

model = AutoModelForCausalLM.from_pretrained(
    model_path,
    device_map="auto",
    low_cpu_mem_usage=True,
    torch_dtype=torch.float16,
    attn_implementation="flash_attention_2",
    trust_remote_code=True,
)

tokenizer = AutoTokenizer.from_pretrained(model_path)

streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)

# Convert prompt to tokens

prompt_template = "[INST] {prompt} [/INST]"
prompt = "You're standing on the surface of the Earth. "\
         "You walk one mile south, one mile west and one mile north. "\
         "You end up exactly where you started. Where are you?"

tokens = tokenizer(
    prompt_template.format(prompt=prompt),
    return_tensors='pt'
).input_ids.cuda()

# Generate output

generation_output = model.generate(
    tokens,
    streamer=streamer,
    max_new_tokens=512
)