/Users/macdev/Downloads/build/bin/llama-imatrix \ -m ./salamandra-2b_bf16.gguf \ -f ./imatrix/oscar/imatrix-dataset.txt \ -o ./imatrix/oscar/imatrix.dat \ --ctx-size 8192 \ --rope-freq-base 10000.0 \ --top-p 0.95 \ --temp 0 \ --repeat-penalty 1.2 2>&1 | tee imatrix_log.txt build: 3906 (7eee341b) with Apple clang version 15.0.0 (clang-1500.3.9.4) for arm64-apple-darwin23.6.0 llama_model_loader: loaded meta data with 29 key-value pairs and 219 tensors from ./salamandra-2b_bf16.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.type str = model llama_model_loader: - kv 2: general.size_label str = 2.3B llama_model_loader: - kv 3: general.license str = apache-2.0 llama_model_loader: - kv 4: general.tags arr[str,1] = ["text-generation"] llama_model_loader: - kv 5: general.languages arr[str,36] = ["bg", "ca", "code", "cs", "cy", "da"... llama_model_loader: - kv 6: llama.block_count u32 = 24 llama_model_loader: - kv 7: llama.context_length u32 = 8192 llama_model_loader: - kv 8: llama.embedding_length u32 = 2048 llama_model_loader: - kv 9: llama.feed_forward_length u32 = 5440 llama_model_loader: - kv 10: llama.attention.head_count u32 = 16 llama_model_loader: - kv 11: llama.attention.head_count_kv u32 = 16 llama_model_loader: - kv 12: llama.rope.freq_base f32 = 10000.000000 llama_model_loader: - kv 13: llama.attention.layer_norm_rms_epsilon f32 = 0.000010 llama_model_loader: - kv 14: general.file_type u32 = 32 llama_model_loader: - kv 15: llama.vocab_size u32 = 256000 llama_model_loader: - kv 16: llama.rope.dimension_count u32 = 128 llama_model_loader: - kv 17: tokenizer.ggml.add_space_prefix bool = true llama_model_loader: - kv 18: tokenizer.ggml.model str = llama llama_model_loader: - kv 19: tokenizer.ggml.pre str = default llama_model_loader: - kv 20: tokenizer.ggml.tokens arr[str,256000] = ["", "", "", "", "<|... llama_model_loader: - kv 21: tokenizer.ggml.scores arr[f32,256000] = [-1000.000000, -1000.000000, -1000.00... llama_model_loader: - kv 22: tokenizer.ggml.token_type arr[i32,256000] = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, ... llama_model_loader: - kv 23: tokenizer.ggml.bos_token_id u32 = 1 llama_model_loader: - kv 24: tokenizer.ggml.eos_token_id u32 = 2 llama_model_loader: - kv 25: tokenizer.ggml.unknown_token_id u32 = 0 llama_model_loader: - kv 26: tokenizer.ggml.add_bos_token bool = true llama_model_loader: - kv 27: tokenizer.ggml.add_eos_token bool = false llama_model_loader: - kv 28: general.quantization_version u32 = 2 llama_model_loader: - type f32: 49 tensors llama_model_loader: - type bf16: 170 tensors llm_load_vocab: special_eos_id is not in special_eog_ids - the tokenizer config may be incorrect llm_load_vocab: special tokens cache size = 104 llm_load_vocab: token to piece cache size = 1.8842 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 = 256000 llm_load_print_meta: n_merges = 0 llm_load_print_meta: vocab_only = 0 llm_load_print_meta: n_ctx_train = 8192 llm_load_print_meta: n_embd = 2048 llm_load_print_meta: n_layer = 24 llm_load_print_meta: n_head = 16 llm_load_print_meta: n_head_kv = 16 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 = 1 llm_load_print_meta: n_embd_k_gqa = 2048 llm_load_print_meta: n_embd_v_gqa = 2048 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 = 5440 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 = 10000.0 llm_load_print_meta: freq_scale_train = 1 llm_load_print_meta: n_ctx_orig_yarn = 8192 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 = BF16 llm_load_print_meta: model params = 2.25 B llm_load_print_meta: model size = 4.20 GiB (16.00 BPW) llm_load_print_meta: general.name = n/a llm_load_print_meta: BOS token = 1 '' llm_load_print_meta: EOS token = 2 '' llm_load_print_meta: UNK token = 0 '' llm_load_print_meta: LF token = 145 '<0x0A>' llm_load_print_meta: EOT token = 5 '<|im_end|>' llm_load_print_meta: EOG token = 2 '' llm_load_print_meta: EOG token = 5 '<|im_end|>' llm_load_print_meta: max token length = 72 llm_load_tensors: ggml ctx size = 0.20 MiB llm_load_tensors: offloading 24 repeating layers to GPU llm_load_tensors: offloading non-repeating layers to GPU llm_load_tensors: offloaded 25/25 layers to GPU llm_load_tensors: Metal buffer size = 4298.39 MiB llm_load_tensors: CPU buffer size = 1000.00 MiB ....................................................... llama_new_context_with_model: n_ctx = 8192 llama_new_context_with_model: n_batch = 2048 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 ggml_metal_init: allocating ggml_metal_init: found device: Apple M3 Max ggml_metal_init: picking default device: Apple M3 Max ggml_metal_init: using embedded metal library ggml_metal_init: GPU name: Apple M3 Max ggml_metal_init: GPU family: MTLGPUFamilyApple9 (1009) ggml_metal_init: GPU family: MTLGPUFamilyCommon3 (3003) ggml_metal_init: GPU family: MTLGPUFamilyMetal3 (5001) ggml_metal_init: simdgroup reduction support = true ggml_metal_init: simdgroup matrix mul. support = true ggml_metal_init: hasUnifiedMemory = true ggml_metal_init: recommendedMaxWorkingSetSize = 42949.67 MB llama_kv_cache_init: Metal KV buffer size = 1536.00 MiB llama_new_context_with_model: KV self size = 1536.00 MiB, K (f16): 768.00 MiB, V (f16): 768.00 MiB llama_new_context_with_model: CPU output buffer size = 0.98 MiB llama_new_context_with_model: Metal compute buffer size = 288.00 MiB llama_new_context_with_model: CPU compute buffer size = 500.00 MiB llama_new_context_with_model: graph nodes = 774 llama_new_context_with_model: graph splits = 339 system_info: n_threads = 12 (n_threads_batch = 12) / 16 | AVX = 0 | AVX_VNNI = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | FMA = 0 | NEON = 1 | SVE = 0 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | RISCV_VECT = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | MATMUL_INT8 = 1 | LLAMAFILE = 1 | compute_imatrix: tokenizing the input .. compute_imatrix: tokenization took 51343.6 ms compute_imatrix: computing over 2761 chunks with batch_size 2048 compute_imatrix: 20.49 seconds per pass - ETA 15 hours 42.95 minutes 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]13.7290,[1868]13.7253,[1869]13.7214,[1870]13.7222,[1871]13.7157,[1872]13.7279,[1873]13.7255,[1874]13.7285,[1875]13.7309,[1876]13.7328,[1877]13.7353,[1878]13.7382,[1879]13.7397,[1880]13.7394,[1881]13.7387,[1882]13.7376,[1883]13.7378,[1884]13.7361,[1885]13.7331,[1886]13.7298,[1887]13.7311,[1888]13.7383,[1889]13.7422,[1890]13.7423,[1891]13.7466,[1892]13.7537,[1893]13.7592,[1894]13.7659,[1895]13.7701,[1896]13.7754,[1897]13.7810,[1898]13.7851,[1899]13.7910,[1900]13.7978,[1901]13.8043,[1902]13.8070,[1903]13.8037,[1904]13.8092,[1905]13.8058,[1906]13.8009,[1907]13.8002,[1908]13.8083,[1909]13.8086,[1910]13.8115,[1911]13.8178,[1912]13.8235,[1913]13.8342,[1914]13.8337,[1915]13.8349,[1916]13.8366,[1917]13.8370,[1918]13.8391,[1919]13.8420,[1920]13.8464,[1921]13.8437,[1922]13.8419,[1923]13.8457,[1924]13.8437,[1925]13.8462,[1926]13.8521,[1927]13.8562,[1928]13.8568,[1929]13.8600,[1930]13.8603,[1931]13.8603,[1932]13.8621,[1933]13.8651,[1934]13.8692,[1935]13.8737,[1936]13.8785,[1937]13.8846,[1938]13.8968,[1939]13.8956,[1940]13.8991,[1941]13.9029,[1942]13.9082,[1943]13.9116,[1944]13.9111,[1945]13.9166,[1946]13.9203,[1947]13.9235,[1948]13.9279,[1949]13.9319,[1950]13.9395,[1951]13.9418,[1952]13.9462,[1953]13.9438,[1954]13.9465,[1955]13.9515,[1956]13.9595,[1957]13.9654,[1958]13.9747,[1959]13.9740,[1960]13.9822,[1961]13.9885,[1962]14.0024,[1963]14.0100,[1964]14.0171,[1965]14.0234,[1966]14.0295,[1967]14.0318,[1968]14.0377,[1969]14.0457,[1970]14.0591,[1971]14.0690,[1972]14.0704,[1973]14.0681,[1974]14.0660,[1975]14.0631,[1976]14.0626,[1977]14.0551,[1978]14.0419,[1979]14.0340,[1980]14.0255,[1981]14.0136,[1982]14.0067,[1983]13.9985,[1984]13.9952,[1985]13.9954,[1986]13.9933,[1987]13.9866,[1988]13.9786,[1989]13.9679,[1990]13.9653,[1991]13.9587,[1992]13.9565,[1993]13.9558,[1994]13.9546,[1995]13.9558,[1996]13.9564,[1997]13.9536,[1998]13.9536,[1999]13.9547,[2000]13.9554,[2001]13.9518,[2002]13.9504,[2003]13.9505,[2004]13.9495,[2005]13.9519,[2006]13.9498,[2007]13.9482,[2008]13.9456,[2009]13.9409,[2010]13.9394,[2011]13.9377,[2012]13.9379,[2013]13.9366,[2014]13.9409,[2015]13.9390,[2016]13.9329,[2017]13.9256,[2018]13.9140,[2019]13.9140,[2020]13.9124,[2021]13.9114,[2022]13.9152,[2023]13.9129,[2024]13.9113,[2025]13.9018,[2026]13.9019,[2027]13.9014,[2028]13.9022,[2029]13.9020,[2030]13.9036,[2031]13.9052,[2032]13.9056,[2033]13.9051,[2034]13.9074,[2035]13.9068,[2036]13.9062,[2037]13.9070,[2038]13.9088,[2039]13.9094,[2040]13.9075,[2041]13.9087,[2042]13.9107,[2043]13.9098,[2044]13.9114,[2045]13.9104,[2046]13.9083,[2047]13.9118,[2048]13.9079,[2049]13.9066,[2050]13.9046,[2051]13.8924,[2052]13.8863,[2053]13.8849,[2054]13.8864,[2055]13.8919,[2056]13.8905,[2057]13.8858,[2058]13.8885,[2059]13.8860,[2060]13.8853,[2061]13.8845,[2062]13.8846,[2063]13.8757,[2064]13.8682,[2065]13.8674,[2066]13.8616,[2067]13.8555,[2068]13.8544,[2069]13.8538,[2070]13.8543,[2071]13.8530,[2072]13.8515,[2073]13.8500,[2074]13.8471,[2075]13.8416,[2076]13.8444,[2077]13.8381,[2078]13.8387,[2079]13.8381,[2080]13.8373,[2081]13.8375,[2082]13.8388,[2083]13.8382,[2084]13.8385,[2085]13.8384,[2086]13.8339,[2087]13.8353,[2088]13.8346,[2089]13.8283,[2090]13.8279,[2091]13.8278,[2092]13.8254,[2093]13.8277,[2094]13.8266,[2095]13.8254,[2096]13.8263,[2097]13.8277,[2098]13.8282,[2099]13.8287,[2100]13.8216,[2101]13.8190,[2102]13.8190,[2103]13.8257,[2104]13.8251,[2105]13.8238,[2106]13.8171,[2107]13.8176,[2108]13.8134,[2109]13.8107,[2110]13.8093,[2111]13.8081,[2112]13.8110,[2113]13.8098,[2114]13.8092,[2115]13.8114,[2116]13.8103,[2117]13.8076,[2118]13.8045,[2119]13.8033,[2120]13.8023,[2121]13.8029,[2122]13.8035,[2123]13.8029,[2124]13.8002,[2125]13.7964,[2126]13.7973,[2127]13.7978,[2128]13.7934,[2129]13.7940,[2130]13.7936,[2131]13.7949,[2132]13.7962,[2133]13.7978,[2134]13.7982,[2135]13.8001,[2136]13.7996,[2137]13.8007,[2138]13.7998,[2139]13.7960,[2140]13.7964,[2141]13.7983,[2142]13.7988,[2143]13.7950,[2144]13.7941,[2145]13.7900,[2146]13.7758,[2147]13.7748,[2148]13.7740,[2149]13.7742,[2150]13.7740,[2151]13.7643,[2152]13.7547,[2153]13.7507,[2154]13.7417,[2155]13.7341,[2156]13.7342,[2157]13.7311,[2158]13.7314,[2159]13.7335,[2160]13.7339,[2161]13.7319,[2162]13.7292,[2163]13.7294,[2164]13.7325,[2165]13.7315,[2166]13.7334,[2167]13.7336,[2168]13.7337,[2169]13.7452,[2170]13.7598,[2171]13.7626,[2172]13.7644,[2173]13.7683,[2174]13.7679,[2175]13.7668,[2176]13.7672,[2177]13.7649,[2178]13.7661,[2179]13.7683,[2180]13.7699,[2181]13.7705,[2182]13.7700,[2183]13.7700,[2184]13.7701,[2185]13.7724,[2186]13.7730,[2187]13.7752,[2188]13.7755,[2189]13.7786,[2190]13.7788,[2191]13.7809,[2192]13.7816,[2193]13.7804,[2194]13.7803,[2195]13.7802,[2196]13.7782,[2197]13.7794,[2198]13.7828,[2199]13.7831,[2200]13.7833,[2201]13.7786,[2202]13.7731,[2203]13.7748,[2204]13.7752,[2205]13.7739,[2206]13.7724,[2207]13.7685,[2208]13.7682,[2209]13.7654,[2210]13.7666,[2211]13.7648,[2212]13.7609,[2213]13.7594,[2214]13.7587,[2215]13.7586,[2216]13.7567,[2217]13.7524,[2218]13.7498,[2219]13.7494,[2220]13.7493,[2221]13.7464,[2222]13.7420,[2223]13.7407,[2224]13.7407,[2225]13.7376,[2226]13.7382,[2227]13.7405,[2228]13.7348,[2229]13.7310,[2230]13.7345,[2231]13.7319,[2232]13.7308,[2233]13.7290,[2234]13.7302,[2235]13.7339,[2236]13.7360,[2237]13.7330,[2238]13.7305,[2239]13.7360,[2240]13.7363,[2241]13.7353,[2242]13.7401,[2243]13.7420,[2244]13.7432,[2245]13.7443,[2246]13.7489,[2247]13.7562,[2248]13.7520,[2249]13.7478,[2250]13.7479,[2251]13.7475,[2252]13.7499,[2253]13.7505,[2254]13.7438,[2255]13.7421,[2256]13.7391,[2257]13.7363,[2258]13.7342,[2259]13.7217,[2260]13.7159,[2261]13.7149,[2262]13.7138,[2263]13.7134,[2264]13.7138,[2265]13.7141,[2266]13.7135,[2267]13.7133,[2268]13.7112,[2269]13.7095,[2270]13.7075,[2271]13.7048,[2272]13.7009,[2273]13.6992,[2274]13.6981,[2275]13.6982,[2276]13.6981,[2277]13.6982,[2278]13.6961,[2279]13.6954,[2280]13.6971,[2281]13.6979,[2282]13.6982,[2283]13.6972,[2284]13.6965,[2285]13.6854,[2286]13.6847,[2287]13.6833,[2288]13.6832,[2289]13.6814,[2290]13.6755,[2291]13.6708,[2292]13.6667,[2293]13.6630,[2294]13.6609,[2295]13.6578,[2296]13.6464,[2297]13.6437,[2298]13.6408,[2299]13.6357,[2300]13.6351,[2301]13.6346,[2302]13.6344,[2303]13.6343,[2304]13.6308,[2305]13.6292,[2306]13.6298,[2307]13.6282,[2308]13.6244,[2309]13.6239,[2310]13.6220,[2311]13.6209,[2312]13.6205,[2313]13.6175,[2314]13.6151,[2315]13.6128,[2316]13.6139,[2317]13.6117,[2318]13.6104,[2319]13.6123,[2320]13.6148,[2321]13.6098,[2322]13.6088,[2323]13.6105,[2324]13.6096,[2325]13.6055,[2326]13.6037,[2327]13.5983,[2328]13.5932,[2329]13.5884,[2330]13.5839,[2331]13.5823,[2332]13.5789,[2333]13.5767,[2334]13.5758,[2335]13.5729,[2336]13.5733,[2337]13.5732,[2338]13.5700,[2339]13.5674,[2340]13.5651,[2341]13.5659,[2342]13.5678,[2343]13.5698,[2344]13.5698,[2345]13.5706,[2346]13.5690,[2347]13.5733,[2348]13.5716,[2349]13.5727,[2350]13.5688,[2351]13.5545,[2352]13.5568,[2353]13.5561,[2354]13.5577,[2355]13.5536,[2356]13.5551,[2357]13.5521,[2358]13.5542,[2359]13.5560,[2360]13.5578,[2361]13.5577,[2362]13.5576,[2363]13.5584,[2364]13.5602,[2365]13.5546,[2366]13.5546,[2367]13.5550,[2368]13.5528,[2369]13.5496,[2370]13.5468,[2371]13.5474,[2372]13.5488,[2373]13.5401,[2374]13.5293,[2375]13.5173,[2376]13.5096,[2377]13.5007,[2378]13.4893,[2379]13.4809,[2380]13.4709,[2381]13.4618,[2382]13.4529,[2383]13.4433,[2384]13.4337,[2385]13.4266,[2386]13.4216,[2387]13.4118,[2388]13.4021,[2389]13.3937,[2390]13.3880,[2391]13.3810,[2392]13.3777,[2393]13.3711,[2394]13.3633,[2395]13.3660,[2396]13.3680,[2397]13.3716,[2398]13.3738,[2399]13.3739,[2400]13.3755,[2401]13.3770,[2402]13.3780,[2403]13.3781,[2404]13.3807,[2405]13.3808,[2406]13.3777,[2407]13.3760,[2408]13.3779,[2409]13.3792,[2410]13.3814,[2411]13.3828,[2412]13.3887,[2413]13.3949,[2414]13.3958,[2415]13.3966,[2416]13.3988,[2417]13.3982,[2418]13.4003,[2419]13.3980,[2420]13.4000,[2421]13.3998,[2422]13.3977,[2423]13.3964,[2424]13.3965,[2425]13.3972,[2426]13.3901,[2427]13.3837,[2428]13.3829,[2429]13.3801,[2430]13.3749,[2431]13.3764,[2432]13.3759,[2433]13.3756,[2434]13.3756,[2435]13.3757,[2436]13.3764,[2437]13.3725,[2438]13.3711,[2439]13.3707,[2440]13.3716,[2441]13.3705,[2442]13.3722,[2443]13.3752,[2444]13.3773,[2445]13.3774,[2446]13.3786,[2447]13.3790,[2448]13.3822,[2449]13.3843,[2450]13.3881,[2451]13.3913,[2452]13.3948,[2453]13.3976,[2454]13.3994,[2455]13.4032,[2456]13.4043,[2457]13.4039,[2458]13.4082,[2459]13.4107,[2460]13.4133,[2461]13.4172,[2462]13.4131,[2463]13.4163,[2464]13.4188,[2465]13.4201,[2466]13.4222,[2467]13.4224,[2468]13.4210,[2469]13.4165,[2470]13.4110,[2471]13.4148,[2472]13.4185,[2473]13.4221,[2474]13.4252,[2475]13.4274,[2476]13.4290,[2477]13.4313,[2478]13.4340,[2479]13.4381,[2480]13.4424,[2481]13.4434,[2482]13.4457,[2483]13.4435,[2484]13.4458,[2485]13.4485,[2486]13.4512,[2487]13.4524,[2488]13.4545,[2489]13.4565,[2490]13.4572,[2491]13.4588,[2492]13.4622,[2493]13.4675,[2494]13.4722,[2495]13.4708,[2496]13.4734,[2497]13.4738,[2498]13.4734,[2499]13.4741,[2500]13.4755,[2501]13.4734,[2502]13.4711,[2503]13.4710,[2504]13.4809,[2505]13.4900,[2506]13.4998,[2507]13.5102,[2508]13.5144,[2509]13.5236,[2510]13.5338,[2511]13.5440,[2512]13.5505,[2513]13.5609,[2514]13.5633,[2515]13.5712,[2516]13.5676,[2517]13.5674,[2518]13.5672,[2519]13.5665,[2520]13.5645,[2521]13.5648,[2522]13.5645,[2523]13.5653,[2524]13.5664,[2525]13.5653,[2526]13.5661,[2527]13.5672,[2528]13.5696,[2529]13.5691,[2530]13.5687,[2531]13.5684,[2532]13.5686,[2533]13.5682,[2534]13.5680,[2535]13.5670,[2536]13.5670,[2537]13.5684,[2538]13.5694,[2539]13.5680,[2540]13.5680,[2541]13.5689,[2542]13.5701,[2543]13.5716,[2544]13.5713,[2545]13.5711,[2546]13.5700,[2547]13.5694,[2548]13.5718,[2549]13.5734,[2550]13.5735,[2551]13.5676,[2552]13.5674,[2553]13.5682,[2554]13.5690,[2555]13.5697,[2556]13.5700,[2557]13.5675,[2558]13.5666,[2559]13.5630,[2560]13.5640,[2561]13.5647,[2562]13.5653,[2563]13.5651,[2564]13.5735,[2565]13.5745,[2566]13.5744,[2567]13.5744,[2568]13.5687,[2569]13.5709,[2570]13.5729,[2571]13.5757,[2572]13.5747,[2573]13.5725,[2574]13.5752,[2575]13.5837,[2576]13.5876,[2577]13.5978,[2578]13.5983,[2579]13.6030,[2580]13.6061,[2581]13.6074,[2582]13.6085,[2583]13.6084,[2584]13.6114,[2585]13.6142,[2586]13.6111,[2587]13.6147,[2588]13.6171,[2589]13.6163,[2590]13.6186,[2591]13.6199,[2592]13.6219,[2593]13.6231,[2594]13.6244,[2595]13.6294,[2596]13.6328,[2597]13.6341,[2598]13.6309,[2599]13.6352,[2600]13.6384,[2601]13.6402,[2602]13.6422,[2603]13.6438,[2604]13.6502,[2605]13.6539,[2606]13.6560,[2607]13.6553,[2608]13.6577,[2609]13.6603,[2610]13.6616,[2611]13.6717,[2612]13.6766,[2613]13.6787,[2614]13.6794,[2615]13.6720,[2616]13.6708,[2617]13.6707,[2618]13.6772,[2619]13.6830,[2620]13.6815,[2621]13.6791,[2622]13.6769,[2623]13.6752,[2624]13.6733,[2625]13.6711,[2626]13.6715,[2627]13.6751,[2628]13.6812,[2629]13.6884,[2630]13.6857,[2631]13.6845,[2632]13.6834,[2633]13.6793,[2634]13.6776,[2635]13.6769,[2636]13.6770,[2637]13.6755,[2638]13.6675,[2639]13.6661,[2640]13.6670,[2641]13.6668,[2642]13.6631,[2643]13.6642,[2644]13.6661,[2645]13.6680,[2646]13.6693,[2647]13.6690,[2648]13.6652,[2649]13.6610,[2650]13.6633,[2651]13.6628,[2652]13.6629,[2653]13.6596,[2654]13.6513,[2655]13.6461,[2656]13.6435,[2657]13.6441,[2658]13.6420,[2659]13.6425,[2660]13.6409,[2661]13.6385,[2662]13.6345,[2663]13.6371,[2664]13.6415,[2665]13.6401,[2666]13.6422,[2667]13.6439,[2668]13.6449,[2669]13.6491,[2670]13.6513,[2671]13.6490,[2672]13.6442,[2673]13.6418,[2674]13.6389,[2675]13.6349,[2676]13.6280,[2677]13.6310,[2678]13.6283,[2679]13.6310,[2680]13.6308,[2681]13.6307,[2682]13.6280,[2683]13.6275,[2684]13.6268,[2685]13.6290,[2686]13.6285,[2687]13.6278,[2688]13.6269,[2689]13.6234,[2690]13.6217,[2691]13.6213,[2692]13.6203,[2693]13.6187,[2694]13.6173,[2695]13.6172,[2696]13.6170,[2697]13.6130,[2698]13.6105,[2699]13.6094,[2700]13.6053,[2701]13.6052,[2702]13.6040,[2703]13.6042,[2704]13.6021,[2705]13.6012,[2706]13.6002,[2707]13.5990,[2708]13.5999,[2709]13.5957,[2710]13.5949,[2711]13.5975,[2712]13.5978,[2713]13.5946,[2714]13.5924,[2715]13.5888,[2716]13.5875,[2717]13.5868,[2718]13.5867,[2719]13.5824,[2720]13.5806,[2721]13.5764,[2722]13.5747,[2723]13.5729,[2724]13.5733,[2725]13.5729,[2726]13.5732,[2727]13.5741,[2728]13.5756,[2729]13.5770,[2730]13.5783,[2731]13.5793,[2732]13.5788,[2733]13.5733,[2734]13.5725,[2735]13.5718,[2736]13.5699,[2737]13.5674,[2738]13.5668,[2739]13.5650,[2740]13.5636,[2741]13.5622,[2742]13.5603,[2743]13.5586,[2744]13.5570,[2745]13.5560,[2746]13.5549,[2747]13.5532,[2748]13.5513,[2749]13.5514,[2750]13.5510,[2751]13.5503,[2752]13.5492,[2753]13.5506,[2754]13.5507,[2755]13.5506,[2756]13.5518,[2757]13.5530,[2758]13.5543,[2759]13.5512,[2760]13.5515,[2761]13.5534, Final estimate: PPL = 13.5534 +/- 0.01185 llama_perf_context_print: load time = 56340.66 ms llama_perf_context_print: prompt eval time = 52832234.04 ms / 22618112 tokens ( 2.34 ms per token, 428.11 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 = 56829010.88 ms / 22618113 tokens ggml_metal_free: deallocating