runtime error

Exit code: 1. Reason: .size() = 1 llama_context: max_nodes = 2328 llama_context: worst-case: n_tokens = 512, n_seqs = 1, n_outputs = 0 graph_reserve: reserving a graph for ubatch with n_tokens = 512, n_seqs = 1, n_outputs = 512 graph_reserve: reserving a graph for ubatch with n_tokens = 1, n_seqs = 1, n_outputs = 1 graph_reserve: reserving a graph for ubatch with n_tokens = 512, n_seqs = 1, n_outputs = 512 llama_context: CPU compute buffer size = 551.63 MiB llama_context: graph nodes = 1126 llama_context: graph splits = 1 CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | BMI2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | LLAMAFILE = 1 | OPENMP = 1 | REPACK = 1 | Model metadata: {'tokenizer.chat_template': "{{bos_token}}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", 'tokenizer.ggml.padding_token_id': '128001', 'tokenizer.ggml.eos_token_id': '128003', 'general.quantization_version': '2', 'tokenizer.ggml.model': 'gpt2', 'general.architecture': 'llama', 'llama.rope.freq_base': '500000.000000', 'tokenizer.ggml.pre': 'llama-bpe', 'llama.context_length': '8192', 'general.name': 'Hermes-2-Pro-Llama-3-Instruct-Merged-DPO', 'llama.embedding_length': '4096', 'llama.feed_forward_length': '14336', 'llama.attention.layer_norm_rms_epsilon': '0.000010', 'tokenizer.ggml.bos_token_id': '128000', 'llama.attention.head_count': '32', 'llama.block_count': '32', 'llama.attention.head_count_kv': '8', 'general.file_type': '7', 'llama.vocab_size': '128256', 'llama.rope.dimension_count': '128'} Available chat formats from metadata: chat_template.default Traceback (most recent call last): File "/app/app.py", line 20, in <module> mychatbot = gr.Chatbot( File "/usr/local/lib/python3.10/site-packages/gradio/component_meta.py", line 189, in wrapper return fn(self, **kwargs) TypeError: Chatbot.__init__() got an unexpected keyword argument 'likeable'

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