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May 10, 2024 10:53
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| $ ./build/bin/main -m grok.bin -p "I believe the meaning of life is" -s 2 -n 10 -ngl 0 | |
| Log start | |
| main: build = 2788 (8a72b3d4) | |
| main: built with Apple clang version 15.0.0 (clang-1500.3.9.4) for arm64-apple-darwin23.4.0 | |
| main: seed = 2 | |
| llama_model_loader: loaded meta data with 18 key-value pairs and 770 tensors from grok.bin (version GGUF V3 (latest)) | |
| llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output. | |
| llama_model_loader: - kv 0: general.architecture str = grok | |
| llama_model_loader: - kv 1: general.name str = grok | |
| llama_model_loader: - kv 2: grok.vocab_size u32 = 131072 | |
| llama_model_loader: - kv 3: grok.context_length u32 = 8192 | |
| llama_model_loader: - kv 4: grok.embedding_length u32 = 6144 | |
| llama_model_loader: - kv 5: grok.block_count u32 = 64 | |
| llama_model_loader: - kv 6: grok.feed_forward_length u32 = 32768 | |
| llama_model_loader: - kv 7: grok.rope.dimension_count u32 = 128 | |
| llama_model_loader: - kv 8: grok.attention.head_count u32 = 48 | |
| llama_model_loader: - kv 9: grok.attention.head_count_kv u32 = 8 | |
| llama_model_loader: - kv 10: grok.expert_count u32 = 8 | |
| llama_model_loader: - kv 11: grok.expert_used_count u32 = 2 | |
| llama_model_loader: - kv 12: grok.attention.layer_norm_rms_epsilon f32 = 0.000010 | |
| llama_model_loader: - kv 13: grok.rope.freq_base f32 = 10000.000000 | |
| llama_model_loader: - kv 14: tokenizer.ggml.model str = llama | |
| llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,131072] = ["[PAD]", "[BOS]", "[EOS]", "[UNK]", ... | |
| llama_model_loader: - kv 16: tokenizer.ggml.scores arr[f32,131072] = [0.000000, 0.000000, 0.000000, 0.0000... | |
| llama_model_loader: - kv 17: tokenizer.ggml.token_type arr[i32,131072] = [3, 3, 3, 2, 1, 1, 1, 1, 1, 1, 1, 1, ... | |
| llama_model_loader: - type f32: 257 tensors | |
| llama_model_loader: - type q4_0: 513 tensors | |
| llm_load_vocab: mismatch in special tokens definition ( 284/131072 vs 260/131072 ). | |
| llm_load_print_meta: format = GGUF V3 (latest) | |
| llm_load_print_meta: arch = grok | |
| llm_load_print_meta: vocab type = SPM | |
| llm_load_print_meta: n_vocab = 131072 | |
| llm_load_print_meta: n_merges = 0 | |
| llm_load_print_meta: n_ctx_train = 8192 | |
| llm_load_print_meta: n_embd = 6144 | |
| llm_load_print_meta: n_head = 48 | |
| llm_load_print_meta: n_head_kv = 8 | |
| llm_load_print_meta: n_layer = 64 | |
| llm_load_print_meta: n_rot = 128 | |
| llm_load_print_meta: n_embd_head_k = 128 | |
| llm_load_print_meta: n_embd_head_v = 128 | |
| llm_load_print_meta: n_gqa = 6 | |
| llm_load_print_meta: n_embd_k_gqa = 1024 | |
| llm_load_print_meta: n_embd_v_gqa = 1024 | |
| llm_load_print_meta: f_norm_eps = 0.0e+00 | |
| llm_load_print_meta: f_norm_rms_eps = 1.0e-05 | |
| llm_load_print_meta: f_clamp_kqv = 0.0e+00 | |
| llm_load_print_meta: f_max_alibi_bias = 0.0e+00 | |
| llm_load_print_meta: f_logit_scale = 0.0e+00 | |
| llm_load_print_meta: n_ff = 32768 | |
| llm_load_print_meta: n_expert = 8 | |
| llm_load_print_meta: n_expert_used = 2 | |
| llm_load_print_meta: causal attn = 1 | |
| llm_load_print_meta: pooling type = 0 | |
| llm_load_print_meta: rope type = 2 | |
| llm_load_print_meta: rope scaling = linear | |
| llm_load_print_meta: freq_base_train = 10000.0 | |
| llm_load_print_meta: freq_scale_train = 1 | |
| llm_load_print_meta: n_yarn_orig_ctx = 8192 | |
| llm_load_print_meta: rope_finetuned = unknown | |
| llm_load_print_meta: ssm_d_conv = 0 | |
| llm_load_print_meta: ssm_d_inner = 0 | |
| llm_load_print_meta: ssm_d_state = 0 | |
| llm_load_print_meta: ssm_dt_rank = 0 | |
| llm_load_print_meta: model type = 314B | |
| llm_load_print_meta: model ftype = Q4_0 (guessed) | |
| llm_load_print_meta: model params = 315.68 B | |
| llm_load_print_meta: model size = 165.38 GiB (4.50 BPW) | |
| llm_load_print_meta: general.name = grok | |
| llm_load_print_meta: BOS token = 1 '[BOS]' | |
| llm_load_print_meta: EOS token = 2 '[EOS]' | |
| llm_load_print_meta: UNK token = 0 '[PAD]' | |
| llm_load_print_meta: LF token = 79 '<0x0A>' | |
| llm_load_tensors: ggml ctx size = 0.37 MiB | |
| llm_load_tensors: offloading 0 repeating layers to GPU | |
| llm_load_tensors: offloaded 0/65 layers to GPU | |
| llm_load_tensors: CPU buffer size = 169351.71 MiB | |
| .................................................................................................... | |
| llama_new_context_with_model: n_ctx = 512 | |
| llama_new_context_with_model: n_batch = 512 | |
| llama_new_context_with_model: n_ubatch = 512 | |
| llama_new_context_with_model: flash_attn = 0 | |
| llama_new_context_with_model: freq_base = 10000.0 | |
| llama_new_context_with_model: freq_scale = 1 | |
| llama_kv_cache_init: CPU KV buffer size = 128.00 MiB | |
| llama_new_context_with_model: KV self size = 128.00 MiB, K (f16): 64.00 MiB, V (f16): 64.00 MiB | |
| llama_new_context_with_model: CPU output buffer size = 0.50 MiB | |
| llama_new_context_with_model: CPU compute buffer size = 293.01 MiB | |
| llama_new_context_with_model: graph nodes = 3464 | |
| llama_new_context_with_model: graph splits = 1 | |
| system_info: n_threads = 6 / 12 | AVX = 0 | AVX_VNNI = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 | | |
| sampling: | |
| repeat_last_n = 64, repeat_penalty = 1.000, frequency_penalty = 0.000, presence_penalty = 0.000 | |
| top_k = 40, tfs_z = 1.000, top_p = 0.950, min_p = 0.050, typical_p = 1.000, temp = 0.800 | |
| mirostat = 0, mirostat_lr = 0.100, mirostat_ent = 5.000 | |
| sampling order: | |
| CFG -> Penalties -> top_k -> tfs_z -> typical_p -> top_p -> min_p -> temperature | |
| generate: n_ctx = 512, n_batch = 2048, n_predict = 10, n_keep = 1 | |
| [BOS] I believe the meaning of life is important it could possibly the general of the general I | |
| llama_print_timings: load time = 77678.27 ms | |
| llama_print_timings: sample time = 0.85 ms / 10 runs ( 0.08 ms per token, 11806.38 tokens per second) | |
| llama_print_timings: prompt eval time = 193039.14 ms / 8 tokens (24129.89 ms per token, 0.04 tokens per second) | |
| llama_print_timings: eval time = 553967.90 ms / 9 runs (61551.99 ms per token, 0.02 tokens per second) | |
| llama_print_timings: total time = 747018.61 ms / 17 tokens | |
| Log end |
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