legraphista
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0593c2a
Upload imatrix.log with huggingface_hub
Browse files- imatrix.log +26 -25
imatrix.log
CHANGED
@@ -1,4 +1,4 @@
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llama_model_loader: loaded meta data with
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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 = gemma2
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llama_model_loader: - kv 1: general.name str = gemma-2-27b-it
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@@ -15,8 +15,8 @@ llama_model_loader: - kv 11: general.file_type u32
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llama_model_loader: - kv 12: tokenizer.ggml.model str = llama
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llama_model_loader: - kv 13: tokenizer.ggml.pre str = default
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llama_model_loader: - kv 14: tokenizer.ggml.tokens arr[str,256000] = ["<pad>", "<eos>", "<bos>", "<unk>", ...
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llama_model_loader: - kv 15: tokenizer.ggml.scores arr[f32,256000] = [
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llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,256000] = [3, 3, 3,
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llama_model_loader: - kv 17: tokenizer.ggml.bos_token_id u32 = 2
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llama_model_loader: - kv 18: tokenizer.ggml.eos_token_id u32 = 1
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llama_model_loader: - kv 19: tokenizer.ggml.unknown_token_id u32 = 3
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@@ -24,10 +24,11 @@ llama_model_loader: - kv 20: tokenizer.ggml.padding_token_id u32
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llama_model_loader: - kv 21: tokenizer.ggml.add_bos_token bool = true
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llama_model_loader: - kv 22: tokenizer.ggml.add_eos_token bool = false
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llama_model_loader: - kv 23: tokenizer.chat_template str = {{ bos_token }}{% if messages[0]['rol...
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llama_model_loader: - kv 24:
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llama_model_loader: - type f32: 185 tensors
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llama_model_loader: - type q8_0: 323 tensors
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llm_load_vocab: special tokens cache size =
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llm_load_vocab: token to piece cache size = 1.6014 MB
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llm_load_print_meta: format = GGUF V3 (latest)
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llm_load_print_meta: arch = gemma2
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@@ -65,7 +66,7 @@ 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 =
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llm_load_print_meta: model ftype = Q8_0
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llm_load_print_meta: model params = 27.23 B
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llm_load_print_meta: model size = 26.94 GiB (8.50 BPW)
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@@ -104,40 +105,40 @@ llama_new_context_with_model: graph splits = 121
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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
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compute_imatrix: computing over 128 chunks with batch_size 512
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compute_imatrix: 1.
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[1]
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save_imatrix: stored collected data after 10 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[10]
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save_imatrix: stored collected data after 20 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[20]
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save_imatrix: stored collected data after 30 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[30]
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save_imatrix: stored collected data after 40 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[40]
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save_imatrix: stored collected data after 50 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[50]
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save_imatrix: stored collected data after 60 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[60]
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save_imatrix: stored collected data after 70 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[70]
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save_imatrix: stored collected data after 80 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[80]
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save_imatrix: stored collected data after 90 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[90]
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save_imatrix: stored collected data after 100 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[100]
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save_imatrix: stored collected data after 110 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[110]
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save_imatrix: stored collected data after 120 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[120]
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save_imatrix: stored collected data after 128 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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llama_print_timings: load time =
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llama_print_timings: sample time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
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llama_print_timings: prompt eval time =
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llama_print_timings: eval time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
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llama_print_timings: total time =
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Final estimate: PPL =
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llama_model_loader: loaded meta data with 26 key-value pairs and 508 tensors from gemma-2-27b-it-IMat-GGUF/gemma-2-27b-it.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 = gemma2
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llama_model_loader: - kv 1: general.name str = gemma-2-27b-it
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llama_model_loader: - kv 12: tokenizer.ggml.model str = llama
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llama_model_loader: - kv 13: tokenizer.ggml.pre str = default
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llama_model_loader: - kv 14: tokenizer.ggml.tokens arr[str,256000] = ["<pad>", "<eos>", "<bos>", "<unk>", ...
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llama_model_loader: - kv 15: tokenizer.ggml.scores arr[f32,256000] = [-1000.000000, -1000.000000, -1000.00...
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llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,256000] = [3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1, ...
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llama_model_loader: - kv 17: tokenizer.ggml.bos_token_id u32 = 2
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llama_model_loader: - kv 18: tokenizer.ggml.eos_token_id u32 = 1
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llama_model_loader: - kv 19: tokenizer.ggml.unknown_token_id u32 = 3
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llama_model_loader: - kv 21: tokenizer.ggml.add_bos_token bool = true
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llama_model_loader: - kv 22: tokenizer.ggml.add_eos_token bool = false
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llama_model_loader: - kv 23: tokenizer.chat_template str = {{ bos_token }}{% if messages[0]['rol...
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llama_model_loader: - kv 24: tokenizer.ggml.add_space_prefix bool = false
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llama_model_loader: - kv 25: general.quantization_version u32 = 2
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llama_model_loader: - type f32: 185 tensors
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llama_model_loader: - type q8_0: 323 tensors
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llm_load_vocab: special tokens cache size = 261
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llm_load_vocab: token to piece cache size = 1.6014 MB
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llm_load_print_meta: format = GGUF V3 (latest)
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llm_load_print_meta: arch = gemma2
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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 = 27B
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llm_load_print_meta: model ftype = Q8_0
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llm_load_print_meta: model params = 27.23 B
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llm_load_print_meta: model size = 26.94 GiB (8.50 BPW)
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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 102.378 ms
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compute_imatrix: computing over 128 chunks with batch_size 512
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compute_imatrix: 1.92 seconds per pass - ETA 4.08 minutes
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[1]39.6511,[2]16.5757,[3]13.6939,[4]15.6944,[5]16.8349,[6]17.6097,[7]19.6449,[8]21.2138,[9]22.7663,
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save_imatrix: stored collected data after 10 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[10]19.5954,[11]18.7601,[12]20.1620,[13]21.1839,[14]21.3214,[15]22.4495,[16]22.5613,[17]22.7834,[18]23.9931,[19]23.7468,
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save_imatrix: stored collected data after 20 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[20]23.8365,[21]26.0599,[22]25.6103,[23]25.1318,[24]25.6891,[25]25.7517,[26]25.1686,[27]25.8776,[28]26.5172,[29]26.5127,
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save_imatrix: stored collected data after 30 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[30]27.2144,[31]24.9851,[32]23.7414,[33]22.8572,[34]22.1536,[35]21.5105,[36]22.1975,[37]23.0630,[38]23.1560,[39]23.3739,
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save_imatrix: stored collected data after 40 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[40]23.4627,[41]23.6640,[42]25.0051,[43]25.9131,[44]26.9078,[45]27.6585,[46]27.0582,[47]26.4096,[48]26.8484,[49]27.2839,
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save_imatrix: stored collected data after 50 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[50]26.9025,[51]26.6051,[52]26.6338,[53]27.0460,[54]27.5828,[55]28.1862,[56]28.5826,[57]28.5708,[58]28.5400,[59]28.0093,
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save_imatrix: stored collected data after 60 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[60]27.6445,[61]27.2285,[62]27.0626,[63]27.1479,[64]27.4686,[65]27.1084,[66]27.0599,[67]27.0251,[68]26.9609,[69]26.8687,
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save_imatrix: stored collected data after 70 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[70]26.7705,[71]26.7926,[72]26.7099,[73]26.7881,[74]26.7220,[75]26.5072,[76]26.5858,[77]26.7008,[78]26.6471,[79]26.4994,
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save_imatrix: stored collected data after 80 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[80]26.6450,[81]26.7715,[82]26.8064,[83]27.0250,[84]27.0770,[85]26.6203,[86]26.4729,[87]26.2858,[88]26.3698,[89]26.3433,
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save_imatrix: stored collected data after 90 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[90]26.5397,[91]26.5333,[92]26.4208,[93]26.3047,[94]26.1210,[95]26.0503,[96]25.8447,[97]25.8144,[98]25.7297,[99]25.7554,
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save_imatrix: stored collected data after 100 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[100]25.6738,[101]25.8975,[102]26.0385,[103]26.1709,[104]26.5591,[105]26.8560,[106]26.8766,[107]26.8606,[108]26.7007,[109]26.6811,
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save_imatrix: stored collected data after 110 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[110]26.4028,[111]26.0091,[112]25.5502,[113]25.6821,[114]25.7196,[115]25.6433,[116]25.5595,[117]25.5877,[118]25.6440,[119]25.6503,
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save_imatrix: stored collected data after 120 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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[120]25.6006,[121]25.5261,[122]25.4242,[123]25.4475,[124]25.6331,[125]25.8680,[126]26.1323,[127]26.2467,[128]26.3842,
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save_imatrix: stored collected data after 128 chunks in gemma-2-27b-it-IMat-GGUF/imatrix.dat
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llama_print_timings: load time = 4083.77 ms
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llama_print_timings: sample time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
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llama_print_timings: prompt eval time = 232410.77 ms / 65536 tokens ( 3.55 ms per token, 281.98 tokens per second)
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llama_print_timings: eval time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
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llama_print_timings: total time = 236107.85 ms / 65537 tokens
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Final estimate: PPL = 26.3842 +/- 0.60805
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