!pip install causal-conv1d==1.0.0
 !pip install mamba-ssm==1.0.1

 import torch
 import os
 from transformers import AutoTokenizer
 from mamba_ssm.models.mixer_seq_simple import MambaLMHeadModel
 tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20b")
 model = MambaLMHeadModel.from_pretrained(os.path.expanduser("state-spaces/mamba-2.8b"), device="cuda", dtype=torch.bfloat16)

 tokens = tokenizer("What is the meaning of life", return_tensors="pt")
 input_ids = tokens.input_ids.to(device="cuda")
 max_length = input_ids.shape[1] + 80
 fn = lambda: model.generate(
         input_ids=input_ids, max_length=max_length, cg=True,
         return_dict_in_generate=True, output_scores=True,
         enable_timing=False, temperature=0.1, top_k=10, top_p=0.1,)
 out = fn()
 print(tokenizer.decode(out[0][0]))

 import torch
 from transformers import AutoTokenizer
 from mamba_ssm.models.mixer_seq_simple import MambaLMHeadModel
 
 device = "cuda"
 tokenizer = AutoTokenizer.from_pretrained("havenhq/mamba-chat")
 tokenizer.eos_token = "<|endoftext|>"
 tokenizer.pad_token = tokenizer.eos_token
 tokenizer.chat_template = AutoTokenizer.from_pretrained("HuggingFaceH4/zephyr-7b-beta").chat_template
 
 model = MambaLMHeadModel.from_pretrained("havenhq/mamba-chat", device="cuda", dtype=torch.float16)
 
 
 messages = []
 user_message = """
 What is the date for announcement
 On August 10 said that its arm JSW Neo Energy has agreed to buy a portfolio of 1753 mega watt renewable energy generation capacity from Mytrah Energy India Pvt Ltd for Rs 10,530 crore.
  """
 
 messages.append(dict(role="user",content=user_message))
 input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt", add_generation_prompt=True).to("cuda")
 out = model.generate(input_ids=input_ids, max_length=2000, temperature=0.9, top_p=0.7, eos_token_id=tokenizer.eos_token_id)
 decoded = tokenizer.batch_decode(out)
 messages.append(dict(role="assistant",content=decoded[0].split("<|assistant|>\n")[-1]))
 print("Model:", decoded[0].split("<|assistant|>\n")[-1])