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llama_model_loader: loaded meta data with 24 key-value pairs and 283 tensors from glm-4-9b-chat-IMat-GGUF/glm-4-9b-chat.Q8_0.gguf.hardlink.gguf (version GGUF V3 (latest)) |
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llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output. |
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llama_model_loader: - kv 0: general.architecture str = chatglm |
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llama_model_loader: - kv 1: general.name str = glm-4-9b-chat |
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llama_model_loader: - kv 2: chatglm.context_length u32 = 131072 |
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llama_model_loader: - kv 3: chatglm.embedding_length u32 = 4096 |
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llama_model_loader: - kv 4: chatglm.feed_forward_length u32 = 13696 |
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llama_model_loader: - kv 5: chatglm.block_count u32 = 40 |
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llama_model_loader: - kv 6: chatglm.attention.head_count u32 = 32 |
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llama_model_loader: - kv 7: chatglm.attention.head_count_kv u32 = 2 |
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llama_model_loader: - kv 8: chatglm.attention.layer_norm_rms_epsilon f32 = 0.000000 |
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llama_model_loader: - kv 9: general.file_type u32 = 7 |
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llama_model_loader: - kv 10: chatglm.rope.dimension_count u32 = 64 |
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llama_model_loader: - kv 11: tokenizer.ggml.add_bos_token bool = false |
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llama_model_loader: - kv 12: tokenizer.ggml.model str = gpt2 |
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llama_model_loader: - kv 13: tokenizer.ggml.pre str = chatglm-bpe |
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llama_model_loader: - kv 14: tokenizer.ggml.tokens arr[str,151552] = ["!", "\"", "#", "$", "%", "&", "'", ... |
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llama_model_loader: - kv 15: tokenizer.ggml.token_type arr[i32,151552] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... |
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llama_model_loader: - kv 16: tokenizer.ggml.merges arr[str,151073] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",... |
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llama_model_loader: - kv 17: tokenizer.ggml.padding_token_id u32 = 151329 |
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llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 151329 |
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llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 151329 |
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llama_model_loader: - kv 20: tokenizer.ggml.eot_token_id u32 = 151336 |
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llama_model_loader: - kv 21: tokenizer.ggml.unknown_token_id u32 = 151329 |
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llama_model_loader: - kv 22: tokenizer.chat_template str = ChatGLM4 |
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llama_model_loader: - kv 23: general.quantization_version u32 = 2 |
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llama_model_loader: - type f32: 121 tensors |
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llama_model_loader: - type q8_0: 162 tensors |
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llm_load_vocab: special tokens cache size = 223 |
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llm_load_vocab: token to piece cache size = 0.9732 MB |
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llm_load_print_meta: format = GGUF V3 (latest) |
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llm_load_print_meta: arch = chatglm |
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llm_load_print_meta: vocab type = BPE |
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llm_load_print_meta: n_vocab = 151552 |
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llm_load_print_meta: n_merges = 151073 |
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llm_load_print_meta: n_ctx_train = 131072 |
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llm_load_print_meta: n_embd = 4096 |
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llm_load_print_meta: n_head = 32 |
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llm_load_print_meta: n_head_kv = 2 |
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llm_load_print_meta: n_layer = 40 |
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llm_load_print_meta: n_rot = 64 |
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llm_load_print_meta: n_embd_head_k = 128 |
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llm_load_print_meta: n_embd_head_v = 128 |
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llm_load_print_meta: n_gqa = 16 |
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llm_load_print_meta: n_embd_k_gqa = 256 |
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llm_load_print_meta: n_embd_v_gqa = 256 |
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llm_load_print_meta: f_norm_eps = 0.0e+00 |
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llm_load_print_meta: f_norm_rms_eps = 1.6e-07 |
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llm_load_print_meta: f_clamp_kqv = 0.0e+00 |
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llm_load_print_meta: f_max_alibi_bias = 0.0e+00 |
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llm_load_print_meta: f_logit_scale = 0.0e+00 |
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llm_load_print_meta: n_ff = 13696 |
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llm_load_print_meta: n_expert = 0 |
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llm_load_print_meta: n_expert_used = 0 |
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llm_load_print_meta: causal attn = 1 |
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llm_load_print_meta: pooling type = 0 |
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llm_load_print_meta: rope type = 0 |
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llm_load_print_meta: rope scaling = linear |
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llm_load_print_meta: freq_base_train = 10000.0 |
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llm_load_print_meta: freq_scale_train = 1 |
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llm_load_print_meta: n_ctx_orig_yarn = 131072 |
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llm_load_print_meta: rope_finetuned = unknown |
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llm_load_print_meta: ssm_d_conv = 0 |
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llm_load_print_meta: ssm_d_inner = 0 |
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llm_load_print_meta: ssm_d_state = 0 |
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llm_load_print_meta: ssm_dt_rank = 0 |
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llm_load_print_meta: model type = 8B |
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llm_load_print_meta: model ftype = Q8_0 |
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llm_load_print_meta: model params = 9.40 B |
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llm_load_print_meta: model size = 9.30 GiB (8.50 BPW) |
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llm_load_print_meta: general.name = glm-4-9b-chat |
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llm_load_print_meta: BOS token = 151329 '<|endoftext|>' |
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llm_load_print_meta: EOS token = 151329 '<|endoftext|>' |
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llm_load_print_meta: UNK token = 151329 '<|endoftext|>' |
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llm_load_print_meta: PAD token = 151329 '<|endoftext|>' |
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llm_load_print_meta: LF token = 128 'Ä' |
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llm_load_print_meta: EOT token = 151336 '<|user|>' |
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ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no |
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ggml_cuda_init: CUDA_USE_TENSOR_CORES: yes |
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ggml_cuda_init: found 1 CUDA devices: |
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Device 0: NVIDIA GeForce RTX 4090, compute capability 8.9, VMM: yes |
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llm_load_tensors: ggml ctx size = 0.31 MiB |
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llm_load_tensors: offloading 40 repeating layers to GPU |
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llm_load_tensors: offloading non-repeating layers to GPU |
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llm_load_tensors: offloaded 41/41 layers to GPU |
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llm_load_tensors: CPU buffer size = 629.00 MiB |
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llm_load_tensors: CUDA0 buffer size = 8897.23 MiB |
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................................................................................. |
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llama_new_context_with_model: n_ctx = 512 |
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llama_new_context_with_model: n_batch = 512 |
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llama_new_context_with_model: n_ubatch = 512 |
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llama_new_context_with_model: flash_attn = 0 |
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llama_new_context_with_model: freq_base = 10000.0 |
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llama_new_context_with_model: freq_scale = 1 |
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llama_kv_cache_init: CUDA0 KV buffer size = 20.00 MiB |
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llama_new_context_with_model: KV self size = 20.00 MiB, K (f16): 10.00 MiB, V (f16): 10.00 MiB |
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llama_new_context_with_model: CUDA_Host output buffer size = 0.58 MiB |
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llama_new_context_with_model: CUDA0 compute buffer size = 304.00 MiB |
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llama_new_context_with_model: CUDA_Host compute buffer size = 9.01 MiB |
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llama_new_context_with_model: graph nodes = 1606 |
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llama_new_context_with_model: graph splits = 2 |
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system_info: n_threads = 25 / 32 | AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | AVX512_BF16 = 1 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 | |
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compute_imatrix: tokenizing the input .. |
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compute_imatrix: tokenization took 122.54 ms |
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compute_imatrix: computing over 125 chunks with batch_size 512 |
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compute_imatrix: 0.65 seconds per pass - ETA 1.35 minutes |
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[1]7.9954,[2]6.0663,[3]5.9242,[4]7.2853,[5]7.2095,[6]6.0079,[7]6.4837,[8]6.8565,[9]7.0213, |
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save_imatrix: stored collected data after 10 chunks in glm-4-9b-chat-IMat-GGUF/imatrix.dat |
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[10]6.1378,[11]6.7411,[12]7.3944,[13]7.8688,[14]8.1976,[15]8.6583,[16]9.1342,[17]9.4154,[18]9.1001,[19]8.6114, |
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save_imatrix: stored collected data after 20 chunks in glm-4-9b-chat-IMat-GGUF/imatrix.dat |
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[20]8.5978,nan detected in blk.18.attn_output.weight |
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