| llama_model_loader: loaded meta data with 28 key-value pairs and 339 tensors from Qwen2-Math-7B-Instruct-IMat-GGUF/Qwen2-Math-7B-Instruct.Q8_0.gguf.hardlink.gguf (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 = qwen2 |
| llama_model_loader: - kv 1: general.type str = model |
| llama_model_loader: - kv 2: general.name str = Qwen2 Math 7B Instruct |
| llama_model_loader: - kv 3: general.finetune str = Instruct |
| llama_model_loader: - kv 4: general.basename str = Qwen2-Math |
| llama_model_loader: - kv 5: general.size_label str = 7B |
| llama_model_loader: - kv 6: general.license str = apache-2.0 |
| llama_model_loader: - kv 7: general.tags arr[str,2] = ["chat", "text-generation"] |
| llama_model_loader: - kv 8: general.languages arr[str,1] = ["en"] |
| llama_model_loader: - kv 9: qwen2.block_count u32 = 28 |
| llama_model_loader: - kv 10: qwen2.context_length u32 = 4096 |
| llama_model_loader: - kv 11: qwen2.embedding_length u32 = 3584 |
| llama_model_loader: - kv 12: qwen2.feed_forward_length u32 = 18944 |
| llama_model_loader: - kv 13: qwen2.attention.head_count u32 = 28 |
| llama_model_loader: - kv 14: qwen2.attention.head_count_kv u32 = 4 |
| llama_model_loader: - kv 15: qwen2.rope.freq_base f32 = 10000.000000 |
| llama_model_loader: - kv 16: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000001 |
| llama_model_loader: - kv 17: general.file_type u32 = 7 |
| llama_model_loader: - kv 18: tokenizer.ggml.model str = gpt2 |
| llama_model_loader: - kv 19: tokenizer.ggml.pre str = qwen2 |
| llama_model_loader: - kv 20: tokenizer.ggml.tokens arr[str,152064] = ["!", "\"", "#", "$", "%", "&", "'", ... |
| llama_model_loader: - kv 21: tokenizer.ggml.token_type arr[i32,152064] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... |
| llama_model_loader: - kv 22: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",... |
| llama_model_loader: - kv 23: tokenizer.ggml.eos_token_id u32 = 151645 |
| llama_model_loader: - kv 24: tokenizer.ggml.padding_token_id u32 = 151643 |
| llama_model_loader: - kv 25: tokenizer.ggml.bos_token_id u32 = 151643 |
| llama_model_loader: - kv 26: tokenizer.chat_template str = {% for message in messages %}{% if lo... |
| llama_model_loader: - kv 27: general.quantization_version u32 = 2 |
| llama_model_loader: - type f32: 141 tensors |
| llama_model_loader: - type q8_0: 198 tensors |
| llm_load_vocab: special tokens cache size = 3 |
| llm_load_vocab: token to piece cache size = 0.9308 MB |
| llm_load_print_meta: format = GGUF V3 (latest) |
| llm_load_print_meta: arch = qwen2 |
| llm_load_print_meta: vocab type = BPE |
| llm_load_print_meta: n_vocab = 152064 |
| llm_load_print_meta: n_merges = 151387 |
| llm_load_print_meta: vocab_only = 0 |
| llm_load_print_meta: n_ctx_train = 4096 |
| llm_load_print_meta: n_embd = 3584 |
| llm_load_print_meta: n_layer = 28 |
| llm_load_print_meta: n_head = 28 |
| llm_load_print_meta: n_head_kv = 4 |
| llm_load_print_meta: n_rot = 128 |
| llm_load_print_meta: n_swa = 0 |
| llm_load_print_meta: n_embd_head_k = 128 |
| llm_load_print_meta: n_embd_head_v = 128 |
| llm_load_print_meta: n_gqa = 7 |
| llm_load_print_meta: n_embd_k_gqa = 512 |
| llm_load_print_meta: n_embd_v_gqa = 512 |
| llm_load_print_meta: f_norm_eps = 0.0e+00 |
| llm_load_print_meta: f_norm_rms_eps = 1.0e-06 |
| 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 = 18944 |
| llm_load_print_meta: n_expert = 0 |
| llm_load_print_meta: n_expert_used = 0 |
| 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_ctx_orig_yarn = 4096 |
| 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 = ?B |
| llm_load_print_meta: model ftype = Q8_0 |
| llm_load_print_meta: model params = 7.62 B |
| llm_load_print_meta: model size = 7.54 GiB (8.50 BPW) |
| llm_load_print_meta: general.name = Qwen2 Math 7B Instruct |
| llm_load_print_meta: BOS token = 151643 '<|endoftext|>' |
| llm_load_print_meta: EOS token = 151645 '<|im_end|>' |
| llm_load_print_meta: PAD token = 151643 '<|endoftext|>' |
| llm_load_print_meta: LF token = 148848 'ÄĬ' |
| llm_load_print_meta: EOT token = 151645 '<|im_end|>' |
| llm_load_print_meta: max token length = 256 |
| ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no |
| ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no |
| ggml_cuda_init: found 1 CUDA devices: |
| Device 0: NVIDIA GeForce RTX 4090, compute capability 8.9, VMM: yes |
| llm_load_tensors: ggml ctx size = 0.30 MiB |
| llm_load_tensors: offloading 28 repeating layers to GPU |
| llm_load_tensors: offloading non-repeating layers to GPU |
| llm_load_tensors: offloaded 29/29 layers to GPU |
| llm_load_tensors: CPU buffer size = 552.23 MiB |
| llm_load_tensors: CUDA0 buffer size = 7165.44 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: CUDA0 KV buffer size = 28.00 MiB |
| llama_new_context_with_model: KV self size = 28.00 MiB, K (f16): 14.00 MiB, V (f16): 14.00 MiB |
| llama_new_context_with_model: CUDA_Host output buffer size = 0.58 MiB |
| llama_new_context_with_model: CUDA0 compute buffer size = 304.00 MiB |
| llama_new_context_with_model: CUDA_Host compute buffer size = 8.01 MiB |
| llama_new_context_with_model: graph nodes = 986 |
| llama_new_context_with_model: graph splits = 2 |
| |
| 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 | |
| compute_imatrix: tokenizing the input .. |
| compute_imatrix: tokenization took 134.361 ms |
| compute_imatrix: computing over 128 chunks with batch_size 512 |
| compute_imatrix: 0.70 seconds per pass - ETA 1.48 minutes |
| [1]18.0590,[2]11.2011,[3]9.5899,[4]11.0452,[5]10.6825,[6]10.1264,[7]10.3411,[8]10.2988,[9]11.3523, |
| save_imatrix: stored collected data after 10 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| [10]10.7695,[11]10.1874,[12]11.2178,[13]12.6955,[14]13.1547,[15]14.7406,[16]15.3128,[17]15.8186,[18]17.0696,[19]16.6457, |
| save_imatrix: stored collected data after 20 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| [20]16.5903,[21]17.5665,[22]17.8621,[23]17.8537,[24]18.4056,[25]18.9724,[26]19.0466,[27]20.0233,[28]20.7322,[29]21.5257, |
| save_imatrix: stored collected data after 30 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| [30]21.4964,[31]21.5009,[32]20.7806,[33]20.2614,[34]19.6217,[35]19.2250,[36]19.5374,[37]20.5638,[38]21.1323,[39]21.3799, |
| save_imatrix: stored collected data after 40 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| [40]21.8888,[41]22.0149,[42]23.1586,[43]23.9396,[44]24.8159,[45]25.5009,[46]25.9405,[47]25.5047,[48]25.5574,[49]25.6802, |
| save_imatrix: stored collected data after 50 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| [50]25.6914,[51]25.3650,[52]25.5112,[53]26.1704,[54]26.4285,[55]27.0047,[56]27.2073,[57]27.2955,[58]27.4467,[59]27.3533, |
| save_imatrix: stored collected data after 60 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| [60]27.4828,[61]27.2780,[62]27.0881,[63]27.2735,[64]27.5393,[65]27.3328,[66]27.1882,[67]27.0582,[68]26.5715,[69]26.3075, |
| save_imatrix: stored collected data after 70 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| [70]26.0733,[71]25.7333,[72]25.5042,[73]25.3687,[74]24.9236,[75]24.4856,[76]24.0797,[77]23.8348,[78]23.6856,[79]23.5075, |
| save_imatrix: stored collected data after 80 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| [80]23.2261,[81]23.1967,[82]23.0807,[83]22.8498,[84]22.8795,[85]22.8150,[86]22.7432,[87]22.5736,[88]22.4748,[89]22.5302, |
| save_imatrix: stored collected data after 90 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| [90]22.6007,[91]22.5752,[92]22.2275,[93]22.0666,[94]21.7474,[95]21.4864,[96]21.3032,[97]21.0089,[98]20.7840,[99]20.7967, |
| save_imatrix: stored collected data after 100 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| [100]20.7888,[101]20.7904,[102]21.0381,[103]21.3159,[104]21.5573,[105]21.9637,[106]22.3012,[107]22.3843,[108]22.2405,[109]22.2636, |
| save_imatrix: stored collected data after 110 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| [110]22.2668,[111]22.0337,[112]21.7606,[113]21.6516,[114]21.7166,[115]21.7715,[116]21.8111,[117]21.8969,[118]21.9941,[119]21.9955, |
| save_imatrix: stored collected data after 120 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| [120]21.9721,[121]21.9586,[122]21.7884,[123]21.8810,[124]22.0677,[125]22.2065,[126]22.4323,[127]22.6586,[128]22.8041, |
| save_imatrix: stored collected data after 128 chunks in Qwen2-Math-7B-Instruct-IMat-GGUF/imatrix.dat |
| |
| llama_print_timings: load time = 2190.72 ms |
| llama_print_timings: sample time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second) |
| llama_print_timings: prompt eval time = 68655.99 ms / 65536 tokens ( 1.05 ms per token, 954.56 tokens per second) |
| llama_print_timings: eval time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second) |
| llama_print_timings: total time = 71144.16 ms / 65537 tokens |
| |
| Final estimate: PPL = 22.8041 +/- 0.48532 |
| |
