Instructions to use xiaol/HF-RWKV-world-v4-claude-65k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaol/HF-RWKV-world-v4-claude-65k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xiaol/HF-RWKV-world-v4-claude-65k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload 3 files
Browse files- config.json +16 -0
- pytorch_model.bin +3 -0
- rwkv_vocab_v20230424_special_token.txt +0 -0
config.json
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{
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"attention_hidden_size": 2048,
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"bos_token_id": 0,
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"context_length": 1024,
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"eos_token_id": 0,
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"hidden_size": 2048,
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"intermediate_size": 8192,
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"layer_norm_epsilon": 1e-05,
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"model_type": "rwkv",
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"num_hidden_layers": 24,
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"rescale_every": 6,
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"tie_word_embeddings": false,
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"transformers_version": "4.33.1",
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"use_cache": true,
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"vocab_size": 65536
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:10adbe11b786583b9008c5ce9270fafaca28b470ab51643f5789ee0350b5a76b
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size 3155266433
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rwkv_vocab_v20230424_special_token.txt
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