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README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - mlx
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+ base_model: state-spaces/mamba-2.8b-hf
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+ ---
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+
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+ # mlx-community/mamba-2.8b-hf-f16
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+
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+ The Model [mlx-community/mamba-2.8b-hf-f16](https://huggingface.co/mlx-community/mamba-2.8b-hf-f16) was converted to MLX format from [state-spaces/mamba-2.8b-hf](https://huggingface.co/state-spaces/mamba-2.8b-hf) using mlx-lm version **0.18.1**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("mlx-community/mamba-2.8b-hf-f16")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
config.json ADDED
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+ {
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+ "MambaForCausalLM"
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+ "initializer_range": 0.1,
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+ "intermediate_size": 5120,
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+ "layer_norm_epsilon": 1e-05,
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+ "model_type": "mamba",
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+ "n_layer": 64,
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+ "num_hidden_layers": 64,
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+ "pad_token_id": 0,
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+ "pad_vocab_size_multiple": 8,
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+ "rescale_prenorm_residual": false,
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+ "residual_in_fp32": true,
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+ "state_size": 16,
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+ "time_step_floor": 0.0001,
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+ "time_step_init_scheme": "random",
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+ "time_step_min": 0.001,
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+ "time_step_rank": 160,
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+ "time_step_scale": 1.0,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.39.0.dev0",
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+ "use_bias": false,
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+ "use_cache": true,
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+ "use_conv_bias": true,
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+ "vocab_size": 50280
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+ }
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