Hugging Face's logo

legraphista
/
dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF

Text Generation
GGUF
English
quantized
GGUF
imatrix
quantization
imat
static
16bit
8bit
6bit
5bit
4bit
3bit
2bit
1bit
conversational
Model card Files Community
legraphista commited on
Commit
2b9a52e
•
1 Parent(s): 89a64c7

Upload imatrix.log with huggingface_hub

Browse files
Files changed (1) hide show
  1. imatrix.log +151 -0
imatrix.log ADDED
@@ -0,0 +1,151 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ main: build = 3072 (549279d8)
2
+ main: built with cc (Ubuntu 13.2.0-23ubuntu4) 13.2.0 for x86_64-linux-gnu
3
+ main: seed = 1717403919
4
+ llama_model_loader: loaded meta data with 26 key-value pairs and 363 tensors from dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/dolphin-2.9.2-Phi-3-Medium-abliterated.gguf (version GGUF V3 (latest))
5
+ llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
6
+ llama_model_loader: - kv 0: general.architecture str = llama
7
+ llama_model_loader: - kv 1: general.name str = dolphin-2.9.2-Phi-3-Medium-abliterated
8
+ llama_model_loader: - kv 2: llama.block_count u32 = 40
9
+ llama_model_loader: - kv 3: llama.context_length u32 = 4096
10
+ llama_model_loader: - kv 4: llama.embedding_length u32 = 5120
11
+ llama_model_loader: - kv 5: llama.feed_forward_length u32 = 17920
12
+ llama_model_loader: - kv 6: llama.attention.head_count u32 = 40
13
+ llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 10
14
+ llama_model_loader: - kv 8: llama.rope.freq_base f32 = 10000.000000
15
+ llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010
16
+ llama_model_loader: - kv 10: general.file_type u32 = 0
17
+ llama_model_loader: - kv 11: llama.vocab_size u32 = 32064
18
+ llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128
19
+ llama_model_loader: - kv 13: tokenizer.ggml.model str = llama
20
+ llama_model_loader: - kv 14: tokenizer.ggml.pre str = default
21
+ llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,32064] = ["<unk>", "<s>", "</s>", "<0x00>", "<...
22
+ llama_model_loader: - kv 16: tokenizer.ggml.scores arr[f32,32064] = [0.000000, 0.000000, 0.000000, 0.0000...
23
+ llama_model_loader: - kv 17: tokenizer.ggml.token_type arr[i32,32064] = [2, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, ...
24
+ llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 1
25
+ llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 32011
26
+ llama_model_loader: - kv 20: tokenizer.ggml.unknown_token_id u32 = 0
27
+ llama_model_loader: - kv 21: tokenizer.ggml.padding_token_id u32 = 32009
28
+ llama_model_loader: - kv 22: tokenizer.ggml.add_bos_token bool = false
29
+ llama_model_loader: - kv 23: tokenizer.ggml.add_eos_token bool = false
30
+ llama_model_loader: - kv 24: tokenizer.chat_template str = {% if not add_generation_prompt is de...
31
+ llama_model_loader: - kv 25: general.quantization_version u32 = 2
32
+ llama_model_loader: - type f32: 363 tensors
33
+ llm_load_vocab: special tokens cache size = 323
34
+ llm_load_vocab: token to piece cache size = 0.1687 MB
35
+ llm_load_print_meta: format = GGUF V3 (latest)
36
+ llm_load_print_meta: arch = llama
37
+ llm_load_print_meta: vocab type = SPM
38
+ llm_load_print_meta: n_vocab = 32064
39
+ llm_load_print_meta: n_merges = 0
40
+ llm_load_print_meta: n_ctx_train = 4096
41
+ llm_load_print_meta: n_embd = 5120
42
+ llm_load_print_meta: n_head = 40
43
+ llm_load_print_meta: n_head_kv = 10
44
+ llm_load_print_meta: n_layer = 40
45
+ llm_load_print_meta: n_rot = 128
46
+ llm_load_print_meta: n_embd_head_k = 128
47
+ llm_load_print_meta: n_embd_head_v = 128
48
+ llm_load_print_meta: n_gqa = 4
49
+ llm_load_print_meta: n_embd_k_gqa = 1280
50
+ llm_load_print_meta: n_embd_v_gqa = 1280
51
+ llm_load_print_meta: f_norm_eps = 0.0e+00
52
+ llm_load_print_meta: f_norm_rms_eps = 1.0e-05
53
+ llm_load_print_meta: f_clamp_kqv = 0.0e+00
54
+ llm_load_print_meta: f_max_alibi_bias = 0.0e+00
55
+ llm_load_print_meta: f_logit_scale = 0.0e+00
56
+ llm_load_print_meta: n_ff = 17920
57
+ llm_load_print_meta: n_expert = 0
58
+ llm_load_print_meta: n_expert_used = 0
59
+ llm_load_print_meta: causal attn = 1
60
+ llm_load_print_meta: pooling type = 0
61
+ llm_load_print_meta: rope type = 0
62
+ llm_load_print_meta: rope scaling = linear
63
+ llm_load_print_meta: freq_base_train = 10000.0
64
+ llm_load_print_meta: freq_scale_train = 1
65
+ llm_load_print_meta: n_yarn_orig_ctx = 4096
66
+ llm_load_print_meta: rope_finetuned = unknown
67
+ llm_load_print_meta: ssm_d_conv = 0
68
+ llm_load_print_meta: ssm_d_inner = 0
69
+ llm_load_print_meta: ssm_d_state = 0
70
+ llm_load_print_meta: ssm_dt_rank = 0
71
+ llm_load_print_meta: model type = 13B
72
+ llm_load_print_meta: model ftype = all F32
73
+ llm_load_print_meta: model params = 13.96 B
74
+ llm_load_print_meta: model size = 52.01 GiB (32.00 BPW)
75
+ llm_load_print_meta: general.name = dolphin-2.9.2-Phi-3-Medium-abliterated
76
+ llm_load_print_meta: BOS token = 1 '<s>'
77
+ llm_load_print_meta: EOS token = 32011 '<|im_end|>'
78
+ llm_load_print_meta: UNK token = 0 '<unk>'
79
+ llm_load_print_meta: PAD token = 32009 '<|placeholder6|>'
80
+ llm_load_print_meta: LF token = 13 '<0x0A>'
81
+ llm_load_print_meta: EOT token = 32007 '<|end|>'
82
+ ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
83
+ ggml_cuda_init: CUDA_USE_TENSOR_CORES: yes
84
+ ggml_cuda_init: found 1 CUDA devices:
85
+ Device 0: NVIDIA GeForce RTX 4090, compute capability 8.9, VMM: yes
86
+ llm_load_tensors: ggml ctx size = 0.37 MiB
87
+ llm_load_tensors: offloading 16 repeating layers to GPU
88
+ llm_load_tensors: offloaded 16/41 layers to GPU
89
+ llm_load_tensors: CPU buffer size = 53254.08 MiB
90
+ llm_load_tensors: CUDA0 buffer size = 20800.62 MiB
91
+ ....................................................................................................
92
+ llama_new_context_with_model: n_ctx = 512
93
+ llama_new_context_with_model: n_batch = 512
94
+ llama_new_context_with_model: n_ubatch = 512
95
+ llama_new_context_with_model: flash_attn = 0
96
+ llama_new_context_with_model: freq_base = 10000.0
97
+ llama_new_context_with_model: freq_scale = 1
98
+ llama_kv_cache_init: CUDA_Host KV buffer size = 60.00 MiB
99
+ llama_kv_cache_init: CUDA0 KV buffer size = 40.00 MiB
100
+ llama_new_context_with_model: KV self size = 100.00 MiB, K (f16): 50.00 MiB, V (f16): 50.00 MiB
101
+ llama_new_context_with_model: CUDA_Host output buffer size = 0.12 MiB
102
+ llama_new_context_with_model: CUDA0 compute buffer size = 698.88 MiB
103
+ llama_new_context_with_model: CUDA_Host compute buffer size = 11.01 MiB
104
+ llama_new_context_with_model: graph nodes = 1286
105
+ llama_new_context_with_model: graph splits = 268
106
+
107
+ system_info: n_threads = 25 / 32 | AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | 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 |
108
+ compute_imatrix: tokenizing the input ..
109
+ compute_imatrix: tokenization took 103.872 ms
110
+ compute_imatrix: computing over 151 chunks with batch_size 512
111
+ compute_imatrix: 30.08 seconds per pass - ETA 1 hours 15.68 minutes
112
+ [1]5.5209,[2]4.2369,[3]4.1303,[4]4.5098,[5]4.9651,[6]5.0892,[7]4.5975,[8]5.0183,[9]5.3814,
113
+ save_imatrix: stored collected data after 10 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
114
+ [10]5.7366,[11]5.6958,[12]5.3171,[13]5.2155,[14]5.3907,[15]5.8044,[16]5.9303,[17]6.2729,[18]6.4081,[19]6.5270,
115
+ save_imatrix: stored collected data after 20 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
116
+ [20]6.6309,[21]6.8403,[22]6.6006,[23]6.3256,[24]6.4012,[25]6.4397,[26]6.3371,[27]6.2671,[28]6.3576,[29]6.5325,
117
+ save_imatrix: stored collected data after 30 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
118
+ [30]6.6488,[31]6.6023,[32]6.7093,[33]6.8190,[34]6.9812,[35]6.9775,[36]6.9287,[37]6.6669,[38]6.4958,[39]6.3857,
119
+ save_imatrix: stored collected data after 40 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
120
+ [40]6.2716,[41]6.1735,[42]6.1914,[43]6.1399,[44]6.1571,[45]6.1433,[46]6.0983,[47]6.0972,[48]6.1712,[49]6.2425,
121
+ save_imatrix: stored collected data after 50 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
122
+ [50]6.2475,[51]6.4119,[52]6.5501,[53]6.7235,[54]6.8715,[55]6.9538,[56]6.8636,[57]6.7603,[58]6.7651,[59]6.8131,
123
+ save_imatrix: stored collected data after 60 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
124
+ [60]6.8962,[61]6.7693,[62]6.7858,[63]6.8348,[64]6.9229,[65]6.9803,[66]7.0066,[67]7.0609,[68]7.1048,[69]7.0949,
125
+ save_imatrix: stored collected data after 70 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
126
+ [70]7.0890,[71]7.0915,[72]7.1405,[73]7.0880,[74]7.0181,[75]6.9959,[76]7.0408,[77]7.0332,[78]6.9995,[79]6.9902,
127
+ save_imatrix: stored collected data after 80 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
128
+ [80]7.0031,[81]6.9634,[82]6.9378,[83]6.9098,[84]6.9072,[85]6.9110,[86]6.8996,[87]6.9036,[88]6.8956,[89]6.8828,
129
+ save_imatrix: stored collected data after 90 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
130
+ [90]6.8658,[91]6.8735,[92]6.8379,[93]6.8379,[94]6.8107,[95]6.7672,[96]6.7778,[97]6.7565,[98]6.7636,[99]6.7329,
131
+ save_imatrix: stored collected data after 100 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
132
+ [100]6.7254,[101]6.7334,[102]6.7096,[103]6.6804,[104]6.6572,[105]6.6656,[106]6.6603,[107]6.6857,[108]6.7052,[109]6.6576,
133
+ save_imatrix: stored collected data after 110 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
134
+ [110]6.6115,[111]6.5634,[112]6.5150,[113]6.4675,[114]6.4279,[115]6.3860,[116]6.3417,[117]6.3150,[118]6.3233,[119]6.3293,
135
+ save_imatrix: stored collected data after 120 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
136
+ [120]6.3715,[121]6.4091,[122]6.4562,[123]6.5050,[124]6.5819,[125]6.6454,[126]6.6561,[127]6.6646,[128]6.6121,[129]6.6050,
137
+ save_imatrix: stored collected data after 130 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
138
+ [130]6.5712,[131]6.5364,[132]6.4850,[133]6.4141,[134]6.4276,[135]6.4500,[136]6.4480,[137]6.4417,[138]6.4512,[139]6.4614,
139
+ save_imatrix: stored collected data after 140 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
140
+ [140]6.4745,[141]6.4761,[142]6.4800,[143]6.4706,[144]6.4510,[145]6.4725,[146]6.5015,[147]6.5357,[148]6.5681,[149]6.6067,
141
+ save_imatrix: stored collected data after 150 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
142
+ [150]6.6392,[151]6.6730,
143
+ save_imatrix: stored collected data after 151 chunks in dolphin-2.9.2-Phi-3-Medium-abliterated-IMat-GGUF/imatrix.dat
144
+
145
+ llama_print_timings: load time = 82696.61 ms
146
+ llama_print_timings: sample time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
147
+ llama_print_timings: prompt eval time = 560820.89 ms / 77312 tokens ( 7.25 ms per token, 137.86 tokens per second)
148
+ llama_print_timings: eval time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
149
+ llama_print_timings: total time = 615183.59 ms / 77313 tokens
150
+
151
+ Final estimate: PPL = 6.6730 +/- 0.08813