build: 3785 (64c6af31) with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
llama_model_loader: loaded meta data with 34 key-value pairs and 338 tensors from Qwen2.5-1.5B-Instruct-IMat-GGUF/Qwen2.5-1.5B-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              = Qwen2.5 1.5B Instruct
llama_model_loader: - kv   3:                           general.finetune str              = Instruct
llama_model_loader: - kv   4:                           general.basename str              = Qwen2.5
llama_model_loader: - kv   5:                         general.size_label str              = 1.5B
llama_model_loader: - kv   6:                            general.license str              = apache-2.0
llama_model_loader: - kv   7:                       general.license.link str              = https://huggingface.co/Qwen/Qwen2.5-1...
llama_model_loader: - kv   8:                   general.base_model.count u32              = 1
llama_model_loader: - kv   9:                  general.base_model.0.name str              = Qwen2.5 1.5B
llama_model_loader: - kv  10:          general.base_model.0.organization str              = Qwen
llama_model_loader: - kv  11:              general.base_model.0.repo_url str              = https://huggingface.co/Qwen/Qwen2.5-1.5B
llama_model_loader: - kv  12:                               general.tags arr[str,2]       = ["chat", "text-generation"]
llama_model_loader: - kv  13:                          general.languages arr[str,1]       = ["en"]
llama_model_loader: - kv  14:                          qwen2.block_count u32              = 28
llama_model_loader: - kv  15:                       qwen2.context_length u32              = 32768
llama_model_loader: - kv  16:                     qwen2.embedding_length u32              = 1536
llama_model_loader: - kv  17:                  qwen2.feed_forward_length u32              = 8960
llama_model_loader: - kv  18:                 qwen2.attention.head_count u32              = 12
llama_model_loader: - kv  19:              qwen2.attention.head_count_kv u32              = 2
llama_model_loader: - kv  20:                       qwen2.rope.freq_base f32              = 1000000.000000
llama_model_loader: - kv  21:     qwen2.attention.layer_norm_rms_epsilon f32              = 0.000001
llama_model_loader: - kv  22:                          general.file_type u32              = 7
llama_model_loader: - kv  23:                       tokenizer.ggml.model str              = gpt2
llama_model_loader: - kv  24:                         tokenizer.ggml.pre str              = qwen2
llama_model_loader: - kv  25:                      tokenizer.ggml.tokens arr[str,151936]  = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv  26:                  tokenizer.ggml.token_type arr[i32,151936]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv  27:                      tokenizer.ggml.merges arr[str,151387]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv  28:                tokenizer.ggml.eos_token_id u32              = 151645
llama_model_loader: - kv  29:            tokenizer.ggml.padding_token_id u32              = 151643
llama_model_loader: - kv  30:                tokenizer.ggml.bos_token_id u32              = 151643
llama_model_loader: - kv  31:               tokenizer.ggml.add_bos_token bool             = false
llama_model_loader: - kv  32:                    tokenizer.chat_template str              = {%- if tools %}\n    {{- '<|im_start|>...
llama_model_loader: - kv  33:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:  141 tensors
llama_model_loader: - type q8_0:  197 tensors
llm_load_vocab: special tokens cache size = 22
llm_load_vocab: token to piece cache size = 0.9310 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          = 151936
llm_load_print_meta: n_merges         = 151387
llm_load_print_meta: vocab_only       = 0
llm_load_print_meta: n_ctx_train      = 32768
llm_load_print_meta: n_embd           = 1536
llm_load_print_meta: n_layer          = 28
llm_load_print_meta: n_head           = 12
llm_load_print_meta: n_head_kv        = 2
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            = 6
llm_load_print_meta: n_embd_k_gqa     = 256
llm_load_print_meta: n_embd_v_gqa     = 256
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             = 8960
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  = 1000000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_ctx_orig_yarn  = 32768
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: ssm_dt_b_c_rms   = 0
llm_load_print_meta: model type       = ?B
llm_load_print_meta: model ftype      = Q8_0
llm_load_print_meta: model params     = 1.54 B
llm_load_print_meta: model size       = 1.53 GiB (8.50 BPW) 
llm_load_print_meta: general.name     = Qwen2.5 1.5B 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 =   236.47 MiB
llm_load_tensors:      CUDA0 buffer size =  1564.63 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  = 1000000.0
llama_new_context_with_model: freq_scale = 1
llama_kv_cache_init:      CUDA0 KV buffer size =    14.00 MiB
llama_new_context_with_model: KV self size  =   14.00 MiB, K (f16):    7.00 MiB, V (f16):    7.00 MiB
llama_new_context_with_model:  CUDA_Host  output buffer size =     0.58 MiB
llama_new_context_with_model:      CUDA0 compute buffer size =   299.75 MiB
llama_new_context_with_model:  CUDA_Host compute buffer size =     4.01 MiB
llama_new_context_with_model: graph nodes  = 986
llama_new_context_with_model: graph splits = 2

system_info: n_threads = 25 (n_threads_batch = 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 | RISCV_VECT = 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 131.741 ms
compute_imatrix: computing over 128 chunks with batch_size 512
compute_imatrix: 0.38 seconds per pass - ETA 0.82 minutes
[1]5.6033,[2]4.0235,[3]4.0926,[4]4.7834,[5]4.6231,[6]4.2649,[7]4.8004,[8]4.8789,[9]5.4428,[10]5.2342,[11]5.1214,[12]5.6121,[13]6.2956,[14]6.5763,[15]7.1743,[16]7.5646,[17]7.7295,[18]8.2087,[19]7.9258,[20]8.0246,[21]8.1162,[22]8.1416,[23]7.9441,[24]8.1539,[25]8.3425,[26]8.2438,[27]8.4273,[28]8.6201,[29]8.9422,[30]8.8979,[31]8.6011,[32]8.2590,[33]8.0650,[34]7.9231,[35]7.8159,[36]7.7714,[37]7.7802,[38]7.8808,[39]7.9307,[40]8.1216,[41]8.1891,[42]8.5198,[43]8.8134,[44]9.0846,[45]9.2768,[46]9.4155,[47]9.2804,[48]9.3235,[49]9.4182,[50]9.4775,[51]9.3578,[52]9.4334,[53]9.6170,[54]9.7244,[55]9.8449,[56]9.9123,[57]9.9357,[58]9.9921,[59]10.0049,[60]10.0238,[61]9.9682,[62]9.9255,[63]9.9780,[64]10.0482,[65]9.9664,[66]9.9506,[67]9.9341,[68]9.8251,[69]9.7468,[70]9.7182,[71]9.6565,[72]9.6264,[73]9.6291,[74]9.5306,[75]9.4428,[76]9.3469,[77]9.3104,[78]9.2727,[79]9.2287,[80]9.1295,[81]9.1555,[82]9.1382,[83]9.0660,[84]9.0859,[85]9.0935,[86]9.0300,[87]8.9972,[88]8.9943,[89]9.0173,[90]9.0358,[91]9.0304,[92]8.9541,[93]8.8919,[94]8.8132,[95]8.7379,[96]8.6775,[97]8.6021,[98]8.5266,[99]8.4935,[100]8.5062,[101]8.5271,[102]8.6421,[103]8.7505,[104]8.8356,[105]8.9794,[106]9.0741,[107]9.1126,[108]9.0799,[109]9.0698,[110]9.0640,[111]9.0382,[112]8.9831,[113]8.9977,[114]9.0497,[115]9.0581,[116]9.0733,[117]9.0998,[118]9.1421,[119]9.1443,[120]9.1395,[121]9.1404,[122]9.0914,[123]9.1422,[124]9.2048,[125]9.2599,[126]9.3238,[127]9.3841,[128]9.4452,
Final estimate: PPL = 9.4452 +/- 0.13705

llama_perf_context_print:        load time =    1146.30 ms
llama_perf_context_print: prompt eval time =   30735.08 ms / 65536 tokens (    0.47 ms per token,  2132.29 tokens per second)
llama_perf_context_print:        eval time =       0.00 ms /     1 runs   (    0.00 ms per token,      inf tokens per second)
llama_perf_context_print:       total time =   32424.61 ms / 65537 tokens