runtime error

Exit code: 1. Reason: = 100000.0 llama_context: freq_scale = 0.015625 llama_context: n_ctx_seq (8192) < n_ctx_train (262144) -- the full capacity of the model will not be utilized llama_context: CPU output buffer size = 1.96 MiB llama_kv_cache: CPU KV buffer size = 442.00 MiB llama_kv_cache: size = 442.00 MiB ( 8192 cells, 26 layers, 4/1 seqs), K (f16): 234.00 MiB, V (f16): 208.00 MiB llama_context: Flash Attention was auto, set to enabled llama_context: CPU compute buffer size = 268.88 MiB llama_context: graph nodes = 1800 llama_context: graph splits = 1 common_init_from_params: added </s> logit bias = -inf common_init_from_params: setting dry_penalty_last_n to ctx_size = 8192 common_init_from_params: warming up the model with an empty run - please wait ... (--no-warmup to disable) srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 srv log_server_r: request: GET /health 127.0.0.1 503 .................. Server failed to start within timeout. Traceback (most recent call last): File "/app/app.py", line 73, in <module> server_process = start_llama_server() File "/app/app.py", line 71, in start_llama_server raise RuntimeError("Server failed to start") RuntimeError: Server failed to start

Container logs: