Mamba
Collection
Mamba is a new LLM architecture that integrates the Structured State Space sequence model to manage lengthy data sequences.
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12 items
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Updated
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1
This model mlx-community/mamba-130m-hf-bf16 was converted to MLX format from state-spaces/mamba-130m-hf using mlx-lm version 0.22.2.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/mamba-130m-hf-bf16")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
Base model
state-spaces/mamba-130m-hf