Unable to start Node !

Question

Unable to start Node !

Opened this issue 3 months ago · 6 comments

after start its stop automatically no error still not getting url

Answer 1 · 2024-06-28T10:10:05.000Z

log

[2024-06-28 15:00:36.897] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:132: server_version: 0.7.0
[2024-06-28 15:00:36.897] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:140: model_name: Meta-Llama-3-8B-Instruct-Q5_K_M,nomic-embed-text-v1.5.f16
[2024-06-28 15:00:36.897] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:148: model_alias: default,embedding
[2024-06-28 15:00:36.897] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:162: ctx_size: 4096,512
[2024-06-28 15:00:36.897] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:176: batch_size: 4096,512
[2024-06-28 15:00:36.897] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:190: prompt_template: llama-3-chat,embedding
[2024-06-28 15:00:36.897] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:199: rag_prompt: You are a tour guide in London, UK. Use information in the following context to directly answer the question from a London visitor.\n----------------\n
[2024-06-28 15:00:36.897] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:220: qdrant_url: http://127.0.0.1:6333
[2024-06-28 15:00:36.897] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:223: qdrant_collection_name: default
[2024-06-28 15:00:36.897] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:226: qdrant_limit: 1
[2024-06-28 15:00:36.898] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:229: qdrant_score_threshold: 0.5
[2024-06-28 15:00:36.898] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:240: chunk_capacity: 100
[2024-06-28 15:00:36.898] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:243: rag_policy: system-message
[2024-06-28 15:00:36.898] [wasi_logging_stdout] [info] llama-core: llama_core in /home/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/llama-core-0.11.3/src/lib.rs:493: Initializing the core context for RAG scenarios
[2024-06-28 15:00:36.900] [info] [WASI-NN] GGML backend: LLAMA_COMMIT 3d7ebf63
[2024-06-28 15:00:36.900] [info] [WASI-NN] GGML backend: LLAMA_BUILD_NUMBER 3075
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: loaded meta data with 21 key-value pairs and 291 tensors from Meta-Llama-3-8B-Instruct-Q5_K_M.gguf (version GGUF V3 (latest))
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 0: general.architecture str = llama
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 1: general.name str = Meta-Llama-3-8B-Instruct
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 2: llama.block_count u32 = 32
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 3: llama.context_length u32 = 8192
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 4: llama.embedding_length u32 = 4096
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 5: llama.feed_forward_length u32 = 14336
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 6: llama.attention.head_count u32 = 32
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 8
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 8: llama.rope.freq_base f32 = 500000.000000
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 10: general.file_type u32 = 17
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 11: llama.vocab_size u32 = 128256
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128
[2024-06-28 15:00:36.978] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2
[2024-06-28 15:00:36.996] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 14: tokenizer.ggml.tokens arr[str,128256] = ["!", """, "#", "$", "%", "&", "'", ...
[2024-06-28 15:00:37.005] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 15: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
[2024-06-28 15:00:37.040] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 16: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "...
[2024-06-28 15:00:37.040] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 17: tokenizer.ggml.bos_token_id u32 = 128000
[2024-06-28 15:00:37.040] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 18: tokenizer.ggml.eos_token_id u32 = 128001
[2024-06-28 15:00:37.040] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 19: tokenizer.chat_template str = {% set loop_messages = messages %}{% ...
[2024-06-28 15:00:37.040] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 20: general.quantization_version u32 = 2
[2024-06-28 15:00:37.040] [info] [WASI-NN] llama.cpp: llama_model_loader: - type f32: 65 tensors
[2024-06-28 15:00:37.040] [info] [WASI-NN] llama.cpp: llama_model_loader: - type q5_K: 193 tensors
[2024-06-28 15:00:37.040] [info] [WASI-NN] llama.cpp: llama_model_loader: - type q6_K: 33 tensors
[2024-06-28 15:00:37.321] [warning] [WASI-NN] llama.cpp: llm_load_vocab: missing pre-tokenizer type, using: 'default'
[2024-06-28 15:00:37.321] [warning] [WASI-NN] llama.cpp: llm_load_vocab:
[2024-06-28 15:00:37.321] [warning] [WASI-NN] llama.cpp: llm_load_vocab: ************************************
[2024-06-28 15:00:37.321] [warning] [WASI-NN] llama.cpp: llm_load_vocab: GENERATION QUALITY WILL BE DEGRADED!
[2024-06-28 15:00:37.321] [warning] [WASI-NN] llama.cpp: llm_load_vocab: CONSIDER REGENERATING THE MODEL
[2024-06-28 15:00:37.321] [warning] [WASI-NN] llama.cpp: llm_load_vocab: ************************************
[2024-06-28 15:00:37.321] [warning] [WASI-NN] llama.cpp: llm_load_vocab:
[2024-06-28 15:00:37.379] [info] [WASI-NN] llama.cpp: llm_load_vocab: special tokens cache size = 256
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_vocab: token to piece cache size = 0.8000 MB
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: format = GGUF V3 (latest)
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: arch = llama
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: vocab type = BPE
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_vocab = 128256
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_merges = 280147
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_ctx_train = 8192
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_embd = 4096
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_head = 32
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_head_kv = 8
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_layer = 32
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_rot = 128
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_embd_head_k = 128
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_embd_head_v = 128
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_gqa = 4
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_embd_k_gqa = 1024
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_embd_v_gqa = 1024
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: f_norm_eps = 0.0e+00
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: f_norm_rms_eps = 1.0e-05
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: f_clamp_kqv = 0.0e+00
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: f_max_alibi_bias = 0.0e+00
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: f_logit_scale = 0.0e+00
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_ff = 14336
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_expert = 0
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_expert_used = 0
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: causal attn = 1
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: pooling type = 0
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: rope type = 0
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: rope scaling = linear
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: freq_base_train = 500000.0
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: freq_scale_train = 1
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_yarn_orig_ctx = 8192
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: rope_finetuned = unknown
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: ssm_d_conv = 0
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: ssm_d_inner = 0
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: ssm_d_state = 0
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: ssm_dt_rank = 0
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: model type = 8B
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: model ftype = Q5_K - Medium
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: model params = 8.03 B
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: model size = 5.33 GiB (5.70 BPW)
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: general.name = Meta-Llama-3-8B-Instruct
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>'
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: EOS token = 128001 '<|end_of_text|>'
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: LF token = 128 'Ä'
[2024-06-28 15:00:37.446] [info] [WASI-NN] llama.cpp: llm_load_print_meta: EOT token = 128009 '<|eot_id|>'
[2024-06-28 15:00:37.452] [info] [WASI-NN] llama.cpp: llm_load_tensors: ggml ctx size = 0.15 MiB
[2024-06-28 15:05:04.833] [info] [WASI-NN] llama.cpp: llm_load_tensors: CPU buffer size = 5459.93 MiB
[2024-06-28 15:05:04.839] [info] [WASI-NN] llama.cpp:
[2024-06-28 15:05:05.303] [info] [WASI-NN] GGML backend: llama_system_info: AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 |
[2024-06-28 15:05:05.317] [info] [WASI-NN] GGML backend: LLAMA_COMMIT 3d7ebf63
[2024-06-28 15:05:05.317] [info] [WASI-NN] GGML backend: LLAMA_BUILD_NUMBER 3075
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: loaded meta data with 22 key-value pairs and 112 tensors from nomic-embed-text-v1.5.f16.gguf (version GGUF V3 (latest))
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 0: general.architecture str = nomic-bert
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 1: general.name str = nomic-embed-text-v1.5
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 2: nomic-bert.block_count u32 = 12
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 3: nomic-bert.context_length u32 = 2048
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 4: nomic-bert.embedding_length u32 = 768
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 5: nomic-bert.feed_forward_length u32 = 3072
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 6: nomic-bert.attention.head_count u32 = 12
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 7: nomic-bert.attention.layer_norm_epsilon f32 = 0.000000
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 8: general.file_type u32 = 1
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 9: nomic-bert.attention.causal bool = false
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 10: nomic-bert.pooling_type u32 = 1
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 11: nomic-bert.rope.freq_base f32 = 1000.000000
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 12: tokenizer.ggml.token_type_count u32 = 2
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 13: tokenizer.ggml.bos_token_id u32 = 101
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 14: tokenizer.ggml.eos_token_id u32 = 102
[2024-06-28 15:05:05.352] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 15: tokenizer.ggml.model str = bert
[2024-06-28 15:05:05.356] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 16: tokenizer.ggml.tokens arr[str,30522] = ["[PAD]", "[unused0]", "[unused1]", "...
[2024-06-28 15:05:05.364] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 17: tokenizer.ggml.scores arr[f32,30522] = [-1000.000000, -1000.000000, -1000.00...
[2024-06-28 15:05:05.366] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 18: tokenizer.ggml.token_type arr[i32,30522] = [3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
[2024-06-28 15:05:05.366] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 19: tokenizer.ggml.unknown_token_id u32 = 100
[2024-06-28 15:05:05.366] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 20: tokenizer.ggml.seperator_token_id u32 = 102
[2024-06-28 15:05:05.366] [info] [WASI-NN] llama.cpp: llama_model_loader: - kv 21: tokenizer.ggml.padding_token_id u32 = 0
[2024-06-28 15:05:05.367] [info] [WASI-NN] llama.cpp: llama_model_loader: - type f32: 51 tensors
[2024-06-28 15:05:05.367] [info] [WASI-NN] llama.cpp: llama_model_loader: - type f16: 61 tensors
[2024-06-28 15:05:05.382] [info] [WASI-NN] llama.cpp: llm_load_vocab: special tokens cache size = 5
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_vocab: token to piece cache size = 0.2032 MB
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: format = GGUF V3 (latest)
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: arch = nomic-bert
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: vocab type = WPM
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_vocab = 30522
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_merges = 0
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_ctx_train = 2048
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_embd = 768
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_head = 12
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_head_kv = 12
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_layer = 12
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_rot = 64
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_embd_head_k = 64
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_embd_head_v = 64
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_gqa = 1
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_embd_k_gqa = 768
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_embd_v_gqa = 768
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: f_norm_eps = 1.0e-12
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: f_norm_rms_eps = 0.0e+00
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: f_clamp_kqv = 0.0e+00
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: f_max_alibi_bias = 0.0e+00
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: f_logit_scale = 0.0e+00
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_ff = 3072
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_expert = 0
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_expert_used = 0
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: causal attn = 0
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: pooling type = 1
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: rope type = 2
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: rope scaling = linear
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: freq_base_train = 1000.0
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: freq_scale_train = 1
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: n_yarn_orig_ctx = 2048
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: rope_finetuned = unknown
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: ssm_d_conv = 0
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: ssm_d_inner = 0
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: ssm_d_state = 0
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: ssm_dt_rank = 0
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: model type = 137M
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: model ftype = F16
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: model params = 136.73 M
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: model size = 260.86 MiB (16.00 BPW)
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: general.name = nomic-embed-text-v1.5
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: BOS token = 101 '[CLS]'
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: EOS token = 102 '[SEP]'
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: UNK token = 100 '[UNK]'
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: SEP token = 102 '[SEP]'
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: PAD token = 0 '[PAD]'
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: CLS token = 101 '[CLS]'
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: MASK token = 103 '[MASK]'
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_print_meta: LF token = 0 '[PAD]'
[2024-06-28 15:05:05.392] [info] [WASI-NN] llama.cpp: llm_load_tensors: ggml ctx size = 0.06 MiB
[2024-06-28 15:05:21.104] [info] [WASI-NN] llama.cpp: llm_load_tensors: CPU buffer size = 260.86 MiB
[2024-06-28 15:05:21.104] [info] [WASI-NN] llama.cpp:
[2024-06-28 15:05:21.105] [info] [WASI-NN] GGML backend: llama_system_info: AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 |
[2024-06-28 15:05:21.118] [wasi_logging_stdout] [info] llama-core: llama_core in /home/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/llama-core-0.11.3/src/lib.rs:548: running mode: rag
[2024-06-28 15:05:21.119] [wasi_logging_stdout] [info] llama-core: llama_core in /home/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/llama-core-0.11.3/src/lib.rs:561: The core context for RAG scenarios has been initialized
[2024-06-28 15:05:21.119] [wasi_logging_stdout] [info] llama-core: llama_core in /home/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/llama-core-0.11.3/src/lib.rs:571: Getting the plugin info
[2024-06-28 15:05:21.119] [wasi_logging_stdout] [info] llama-core: llama_core in /home/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/llama-core-0.11.3/src/lib.rs:757: Get the running mode.
[2024-06-28 15:05:21.119] [wasi_logging_stdout] [info] llama-core: llama_core in /home/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/llama-core-0.11.3/src/lib.rs:782: running mode: rag
[2024-06-28 15:05:21.119] [wasi_logging_stdout] [info] llama-core: llama_core in /home/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/llama-core-0.11.3/src/lib.rs:651: Getting the plugin info by the graph named Meta-Llama-3-8B-Instruct-Q5_K_M
[2024-06-28 15:05:21.119] [wasi_logging_stdout] [info] llama-core: llama_core::utils in /home/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/llama-core-0.11.3/src/utils.rs:158: Get the output buffer generated by the model named Meta-Llama-3-8B-Instruct-Q5_K_M in the non-stream mode.
[2024-06-28 15:05:21.138] [wasi_logging_stdout] [info] llama-core: llama_core::utils in /home/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/llama-core-0.11.3/src/utils.rs:176: Output buffer size: 95
[2024-06-28 15:05:21.139] [wasi_logging_stdout] [info] llama-core: llama_core in /home/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/llama-core-0.11.3/src/lib.rs:711: Plugin info: b3075(commit 3d7ebf63)
[2024-06-28 15:05:21.140] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:343: plugin_ggml_version: b3075 (commit 3d7ebf63)
[2024-06-28 15:05:21.141] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:353: socket_address: 0.0.0.0:8080
[2024-06-28 15:05:21.142] [wasi_logging_stdout] [info] server_config: rag_api_server in src/main.rs:360: gaianet_node_version: 0.1.2

Answer 2 · 2024-06-30T04:32:50.000Z

@apepkuss Could you help check it out?

Answer 3 · 2024-07-05T11:31:50.000Z

Hey, I faced same issue some time before but re-running curl -sSfL 'https://github.com/GaiaNet-AI/gaianet-node/releases/latest/download/install.sh' | bash seemed to solve it for me.

If issue still persists I recommend reinstalling and upgrading gaianet running curl -sSfL 'https://github.com/GaiaNet-AI/gaianet-node/releases/latest/download/install.sh' | bash -s -- --reinstall

Note: when you run the reinstall command the gaianet folder will reset so backup the models or any important info in that folder before

Answer 4 · 2024-07-12T11:58:45.000Z

I got the same error. Have u resolved it? @amirsohail208

Answer 5 · 2024-07-12T14:59:19.000Z

I got the same error. Have u resolved it? @amirsohail208

yes

Answer 6 · 2024-07-12T17:06:27.000Z

Could u tell me how did u solve this issue? thanks @amirsohail208