[WIP] Upload folder using huggingface_hub (multi-commit e84e4c0e1545628a53c87bb7530949d52709740c1280014e278a91726016ea53)

README.md

@@ -1,23 +0,0 @@
----
-library_name: transformers
-tags:
-- mlx
-base_model: state-spaces/mamba-130m-hf
----
-
-# mlx-community/mamba-130m-hf-f32
-
-The Model [mlx-community/mamba-130m-hf-f32](https://huggingface.co/mlx-community/mamba-130m-hf-f32) was converted to MLX format from [state-spaces/mamba-130m-hf](https://huggingface.co/state-spaces/mamba-130m-hf) using mlx-lm version **0.18.1**.
-
-## Use with mlx
-
-```bash
-pip install mlx-lm
-```
-
-```python
-from mlx_lm import load, generate
-
-model, tokenizer = load("mlx-community/mamba-130m-hf-f32")
-response = generate(model, tokenizer, prompt="hello", verbose=True)
-```

config.json

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-{
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-    "intermediate_size": 1536,
-    "layer_norm_epsilon": 1e-05,
-    "model_type": "mamba",
-    "n_layer": 24,
-    "num_hidden_layers": 24,
-    "pad_token_id": 0,
-    "pad_vocab_size_multiple": 8,
-    "rescale_prenorm_residual": false,
-    "residual_in_fp32": true,
-    "rms_norm": true,
-    "ssm_cfg": {},
-    "state_size": 16,
-    "time_step_floor": 0.0001,
-    "time_step_init_scheme": "random",
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-    "time_step_min": 0.001,
-    "time_step_rank": 48,
-    "time_step_scale": 1.0,
-    "torch_dtype": "float32",
-    "transformers_version": "4.39.0.dev0",
-    "use_bias": false,
-    "use_cache": true,
-    "use_conv_bias": true,
-    "vocab_size": 50280
-}

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