Instructions to use hazyresearch/mamba-360M-30B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hazyresearch/mamba-360M-30B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hazyresearch/mamba-360M-30B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
stuff
Browse files- config.json +2 -0
- pytorch_model.bin +3 -0
config.json
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{"d_model": 1024, "n_layer": 46, "vocab_size": 50277, "ssm_cfg": {}, "rms_norm": true, "residual_in_fp32": true, "fused_add_norm": true, "pad_vocab_size_multiple": 16, "reorder_and_upcast_attn": false, "scale_attn_by_inverse_layer_idx": true, "n_positions": 2048, "n_embd": 1024, "n_head": 16, "use_flash_attn": true, "fused_dropout_add_ln": true, "fused_mlp": true, "fused_bias_fc": true, "use_fast_path": true}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:842fe2cd777e4387901b42b1283028cf6d0c6cda9f65ab48c35581590b5e092d
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size 1432942417
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