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imatrix.log

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+llama_model_loader: loaded meta data with 24 key-value pairs and 363 tensors from llm-compiler-13b-IMat-GGUF/llm-compiler-13b.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              = llama
+llama_model_loader: - kv   1:                               general.name str              = llm-compiler-13b
+llama_model_loader: - kv   2:                          llama.block_count u32              = 40
+llama_model_loader: - kv   3:                       llama.context_length u32              = 16384
+llama_model_loader: - kv   4:                     llama.embedding_length u32              = 5120
+llama_model_loader: - kv   5:                  llama.feed_forward_length u32              = 13824
+llama_model_loader: - kv   6:                 llama.attention.head_count u32              = 40
+llama_model_loader: - kv   7:              llama.attention.head_count_kv u32              = 40
+llama_model_loader: - kv   8:                       llama.rope.freq_base f32              = 1000000.000000
+llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32              = 0.000010
+llama_model_loader: - kv  10:                          general.file_type u32              = 7
+llama_model_loader: - kv  11:                           llama.vocab_size u32              = 32000
+llama_model_loader: - kv  12:                 llama.rope.dimension_count u32              = 128
+llama_model_loader: - kv  13:                       tokenizer.ggml.model str              = llama
+llama_model_loader: - kv  14:                         tokenizer.ggml.pre str              = default
+llama_model_loader: - kv  15:                      tokenizer.ggml.tokens arr[str,32000]   = ["<unk>", "<s>", "</s>", "<0x00>", "<...
+llama_model_loader: - kv  16:                      tokenizer.ggml.scores arr[f32,32000]   = [0.000000, 0.000000, 0.000000, 0.0000...
+llama_model_loader: - kv  17:                  tokenizer.ggml.token_type arr[i32,32000]   = [2, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, ...
+llama_model_loader: - kv  18:                tokenizer.ggml.bos_token_id u32              = 1
+llama_model_loader: - kv  19:                tokenizer.ggml.eos_token_id u32              = 2
+llama_model_loader: - kv  20:            tokenizer.ggml.unknown_token_id u32              = 0
+llama_model_loader: - kv  21:               tokenizer.ggml.add_bos_token bool             = true
+llama_model_loader: - kv  22:               tokenizer.ggml.add_eos_token bool             = false
+llama_model_loader: - kv  23:               general.quantization_version u32              = 2
+llama_model_loader: - type  f32:   81 tensors
+llama_model_loader: - type q8_0:  282 tensors
+llm_load_vocab: special tokens cache size = 259
+llm_load_vocab: token to piece cache size = 0.1684 MB
+llm_load_print_meta: format           = GGUF V3 (latest)
+llm_load_print_meta: arch             = llama
+llm_load_print_meta: vocab type       = SPM
+llm_load_print_meta: n_vocab          = 32000
+llm_load_print_meta: n_merges         = 0
+llm_load_print_meta: n_ctx_train      = 16384
+llm_load_print_meta: n_embd           = 5120
+llm_load_print_meta: n_head           = 40
+llm_load_print_meta: n_head_kv        = 40
+llm_load_print_meta: n_layer          = 40
+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            = 1
+llm_load_print_meta: n_embd_k_gqa     = 5120
+llm_load_print_meta: n_embd_v_gqa     = 5120
+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             = 13824
+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        = 0
+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  = 16384
+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       = 13B
+llm_load_print_meta: model ftype      = Q8_0
+llm_load_print_meta: model params     = 13.02 B
+llm_load_print_meta: model size       = 12.88 GiB (8.50 BPW) 
+llm_load_print_meta: general.name     = llm-compiler-13b
+llm_load_print_meta: BOS token        = 1 '<s>'
+llm_load_print_meta: EOS token        = 2 '</s>'
+llm_load_print_meta: UNK token        = 0 '<unk>'
+llm_load_print_meta: LF token         = 13 '<0x0A>'
+llm_load_print_meta: max token length = 48
+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 =    0.34 MiB
+llm_load_tensors: offloading 40 repeating layers to GPU
+llm_load_tensors: offloading non-repeating layers to GPU
+llm_load_tensors: offloaded 41/41 layers to GPU
+llm_load_tensors:        CPU buffer size =   166.02 MiB
+llm_load_tensors:      CUDA0 buffer size = 13023.85 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 =   400.00 MiB
+llama_new_context_with_model: KV self size  =  400.00 MiB, K (f16):  200.00 MiB, V (f16):  200.00 MiB
+llama_new_context_with_model:  CUDA_Host  output buffer size =     0.12 MiB
+llama_new_context_with_model:      CUDA0 compute buffer size =    85.00 MiB
+llama_new_context_with_model:  CUDA_Host compute buffer size =    11.01 MiB
+llama_new_context_with_model: graph nodes  = 1286
+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 92.657 ms
+compute_imatrix: computing over 151 chunks with batch_size 512
+compute_imatrix: 0.84 seconds per pass - ETA 2.12 minutes
+[1]6.5102,[2]4.8278,[3]4.8906,[4]5.8275,[5]6.5980,[6]6.6741,[7]6.1521,[8]6.6585,[9]6.8038,
+save_imatrix: stored collected data after 10 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[10]7.2034,[11]7.0897,[12]6.3110,[13]6.1925,[14]6.4733,[15]6.9117,[16]7.0055,[17]7.3541,[18]7.5604,[19]7.7247,
+save_imatrix: stored collected data after 20 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[20]7.8130,[21]8.0770,[22]7.6913,[23]7.3320,[24]7.3916,[25]7.4575,[26]7.4139,[27]7.2614,[28]7.3498,[29]7.4908,
+save_imatrix: stored collected data after 30 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[30]7.6196,[31]7.6048,[32]7.7227,[33]7.8117,[34]8.0091,[35]8.0498,[36]7.9688,[37]7.6228,[38]7.3958,[39]7.3474,
+save_imatrix: stored collected data after 40 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[40]7.2737,[41]7.1858,[42]7.1084,[43]6.9552,[44]6.8893,[45]6.7978,[46]6.7678,[47]6.7896,[48]6.8411,[49]6.9229,
+save_imatrix: stored collected data after 50 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[50]6.9341,[51]7.0692,[52]7.1922,[53]7.3284,[54]7.4554,[55]7.5083,[56]7.4600,[57]7.3916,[58]7.4462,[59]7.5115,
+save_imatrix: stored collected data after 60 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[60]7.5997,[61]7.5003,[62]7.5256,[63]7.5999,[64]7.6843,[65]7.7434,[66]7.7791,[67]7.8386,[68]7.8891,[69]7.8758,
+save_imatrix: stored collected data after 70 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[70]7.8826,[71]7.8861,[72]7.8123,[73]7.7649,[74]7.7193,[75]7.7113,[76]7.7044,[77]7.7125,[78]7.6880,[79]7.7022,
+save_imatrix: stored collected data after 80 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[80]7.7223,[81]7.7006,[82]7.6871,[83]7.6427,[84]7.6579,[85]7.6692,[86]7.6653,[87]7.6858,[88]7.6954,[89]7.6857,
+save_imatrix: stored collected data after 90 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[90]7.6656,[91]7.6720,[92]7.6310,[93]7.6197,[94]7.5937,[95]7.5636,[96]7.5907,[97]7.5873,[98]7.5975,[99]7.5835,
+save_imatrix: stored collected data after 100 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[100]7.5752,[101]7.5954,[102]7.5642,[103]7.5355,[104]7.5224,[105]7.5463,[106]7.5487,[107]7.5597,[108]7.5833,[109]7.5193,
+save_imatrix: stored collected data after 110 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[110]7.4666,[111]7.4126,[112]7.3521,[113]7.2913,[114]7.2362,[115]7.1853,[116]7.1342,[117]7.0951,[118]7.1096,[119]7.1196,
+save_imatrix: stored collected data after 120 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[120]7.1684,[121]7.2164,[122]7.2682,[123]7.3216,[124]7.4055,[125]7.4902,[126]7.5035,[127]7.5218,[128]7.4561,[129]7.4576,
+save_imatrix: stored collected data after 130 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[130]7.4422,[131]7.4365,[132]7.4118,[133]7.4061,[134]7.4185,[135]7.4420,[136]7.4324,[137]7.4280,[138]7.4363,[139]7.4519,
+save_imatrix: stored collected data after 140 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[140]7.4695,[141]7.4749,[142]7.4733,[143]7.4593,[144]7.4382,[145]7.4538,[146]7.4791,[147]7.5098,[148]7.5349,[149]7.5722,
+save_imatrix: stored collected data after 150 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+[150]7.6062,[151]7.6399,
+save_imatrix: stored collected data after 151 chunks in llm-compiler-13b-IMat-GGUF/imatrix.dat
+
+llama_print_timings:        load time =   10260.16 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 =  119297.93 ms / 77312 tokens (    1.54 ms per token,   648.06 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 =  129182.97 ms / 77313 tokens
+
+Final estimate: PPL = 7.6399 +/- 0.09694