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GaiaNet-AI / gaianet-node

Install and run your own AI agent service
https://www.gaianet.ai/
GNU General Public License v3.0
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Unable to start Node ! #77

Open amirsohail208 opened 1 week ago

amirsohail208 commented 1 week ago

Screenshot 2024-06-28 142741 after start its stop automatically no error still not getting url

amirsohail208 commented 1 week ago

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

alabulei1 commented 5 days ago

@apepkuss Could you help check it out?

codemaster1104 commented 2 hours ago

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