runtime error

Exit code: 1. Reason: rst-case: n_tokens = 512, n_seqs = 1, n_outputs = 1 sched_reserve: resolving fused Gated Delta Net support: graph_reserve: reserving a graph for ubatch with n_tokens = 1, n_seqs = 1, n_outputs = 1 sched_reserve: fused Gated Delta Net (autoregressive) enabled graph_reserve: reserving a graph for ubatch with n_tokens = 16, n_seqs = 1, n_outputs = 16 sched_reserve: fused Gated Delta Net (chunked) enabled 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 sched_reserve: CPU compute buffer size = 308.01 MiB sched_reserve: graph nodes = 1734 sched_reserve: graph splits = 1 sched_reserve: reserve took 6.48 ms, sched copies = 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.ggml.add_eos_token': 'false', 'tokenizer.ggml.padding_token_id': '0', 'tokenizer.ggml.eos_token_id': '32000', 'general.architecture': 'llama', 'llama.rope.freq_base': '10000.000000', 'llama.context_length': '4096', 'general.name': 'LLaMA v2', 'tokenizer.ggml.add_bos_token': 'true', 'llama.embedding_length': '4096', 'llama.feed_forward_length': '14336', 'llama.attention.layer_norm_rms_epsilon': '0.000010', 'llama.rope.dimension_count': '128', 'tokenizer.ggml.bos_token_id': '1', 'llama.attention.head_count': '32', 'llama.block_count': '48', 'llama.attention.head_count_kv': '8', 'general.quantization_version': '2', 'tokenizer.ggml.model': 'llama', 'general.file_type': '15'} Traceback (most recent call last): File "/app/app.py", line 44, in <module> gr.ChatInterface( TypeError: ChatInterface.__init__() got an unexpected keyword argument 'theme' ~llama_context: CPU compute buffer size is 308.0098 MiB, matches expectation of 308.0098 MiB

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