296 lines
27 KiB
Plaintext
296 lines
27 KiB
Plaintext
llama_bin_run\llama-server.exe : ggml_cuda_init: found 2 CUDA
|
|
devices (Total VRAM: 24575 MiB):
|
|
위치 줄:1 문자:58
|
|
+ ... rt-Sleep 3; llama_bin_run\llama-server.exe --model model
|
|
s\Qwen3.5-35B ...
|
|
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
~~~~~~~~~~~~~
|
|
+ CategoryInfo : NotSpecified: (ggml_cuda_init:.
|
|
..AM: 24575 MiB)::String) [], RemoteException
|
|
+ FullyQualifiedErrorId : NativeCommandError
|
|
|
|
Device 0: NVIDIA GeForce RTX 3060, compute capability 8.6, V
|
|
MM: yes, VRAM: 12287 MiB
|
|
Device 1: NVIDIA GeForce RTX 3060, compute capability 8.6, V
|
|
MM: yes, VRAM: 12287 MiB
|
|
load_backend: loaded CUDA backend from C:\Users\Variet-Worker\
|
|
Desktop\variet-llm\llama_bin_run\ggml-cuda.dll
|
|
load_backend: loaded RPC backend from C:\Users\Variet-Worker\D
|
|
esktop\variet-llm\llama_bin_run\ggml-rpc.dll
|
|
load_backend: loaded CPU backend from C:\Users\Variet-Worker\D
|
|
esktop\variet-llm\llama_bin_run\ggml-cpu-haswell.dll
|
|
system info: n_threads = 6, n_threads_batch = 6, total_threads
|
|
= 16
|
|
|
|
system_info: n_threads = 6 (n_threads_batch = 6) / 16 | CUDA :
|
|
ARCHS = 500,610,700,750,800,860,890 | USE_GRAPHS = 1 | PEER_M
|
|
AX_BATCH_SIZE = 128 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | A
|
|
VX2 = 1 | F16C = 1 | FMA = 1 | BMI2 = 1 | LLAMAFILE = 1 | OPEN
|
|
MP = 1 | REPACK = 1 |
|
|
|
|
Running without SSL
|
|
init: using 15 threads for HTTP server
|
|
start: binding port with default address family
|
|
main: loading model
|
|
srv load_model: loading model 'models\Qwen3.5-35B-A3B-Q4_K_
|
|
M.gguf'
|
|
common_init_result: fitting params to device memory, for bugs
|
|
during this step try to reproduce them with -fit off, or provi
|
|
de --verbose logs if the bug only occurs with -fit on
|
|
llama_params_fit_impl: projected memory use with initial param
|
|
eters [MiB]:
|
|
llama_params_fit_impl: - CUDA0 (NVIDIA GeForce RTX 3060): 1
|
|
2287 total, 10746 used, 466 free vs. target of 1024
|
|
llama_params_fit_impl: - CUDA1 (NVIDIA GeForce RTX 3060): 1
|
|
2287 total, 12214 used, -1006 free vs. target of 1024
|
|
llama_params_fit_impl: projected to use 22961 MiB of device me
|
|
mory vs. 22421 MiB of free device memory
|
|
llama_params_fit_impl: cannot meet free memory targets on all
|
|
devices, need to use 2588 MiB less in total
|
|
llama_params_fit_impl: context size set by user to 262144 -> n
|
|
o change
|
|
llama_params_fit: failed to fit params to free device memory:
|
|
n_gpu_layers already set by user to 999, abort
|
|
llama_params_fit: fitting params to free memory took 0.51 seco
|
|
nds
|
|
llama_model_load_from_file_impl: using device CUDA0 (NVIDIA Ge
|
|
Force RTX 3060) (0000:04:00.0) - 11245 MiB free
|
|
llama_model_load_from_file_impl: using device CUDA1 (NVIDIA Ge
|
|
Force RTX 3060) (0000:06:00.0) - 11240 MiB free
|
|
llama_model_loader: loaded meta data with 52 key-value pairs a
|
|
nd 733 tensors from models\Qwen3.5-35B-A3B-Q4_K_M.gguf (versio
|
|
n GGUF V3 (latest))
|
|
llama_model_loader: Dumping metadata keys/values. Note: KV ove
|
|
rrides do not apply in this output.
|
|
llama_model_loader: - kv 0: general.ar
|
|
chitecture str = qwen35moe
|
|
llama_model_loader: - kv 1: ge
|
|
neral.type str = model
|
|
llama_model_loader: - kv 2: general.samp
|
|
ling.top_k i32 = 20
|
|
llama_model_loader: - kv 3: general.samp
|
|
ling.top_p f32 = 0.950000
|
|
llama_model_loader: - kv 4: general.sam
|
|
pling.temp f32 = 1.000000
|
|
llama_model_loader: - kv 5: ge
|
|
neral.name str = Qwen3.5-35B-A3B
|
|
llama_model_loader: - kv 6: genera
|
|
l.basename str = Qwen3.5-35B-A3B
|
|
llama_model_loader: - kv 7: general.qu
|
|
antized_by str = Unsloth
|
|
llama_model_loader: - kv 8: general.
|
|
size_label str = 35B-A3B
|
|
llama_model_loader: - kv 9: gener
|
|
al.license str = apache-2.0
|
|
llama_model_loader: - kv 10: general.li
|
|
cense.link str = https://huggingface.co/Qwen/Qwen
|
|
3.5-3...
|
|
llama_model_loader: - kv 11: genera
|
|
l.repo_url str = https://huggingface.co/unsloth
|
|
llama_model_loader: - kv 12: general.base_m
|
|
odel.count u32 = 1
|
|
llama_model_loader: - kv 13: general.base_mo
|
|
del.0.name str = Qwen3.5 35B A3B
|
|
llama_model_loader: - kv 14: general.base_model.0.or
|
|
ganization str = Qwen
|
|
llama_model_loader: - kv 15: general.base_model.
|
|
0.repo_url str = https://huggingface.co/Qwen/Qwen
|
|
3.5-3...
|
|
llama_model_loader: - kv 16: ge
|
|
neral.tags arr[str,2] = ["unsloth", "image-text-to-text"
|
|
]
|
|
llama_model_loader: - kv 17: qwen35moe.b
|
|
lock_count u32 = 40
|
|
llama_model_loader: - kv 18: qwen35moe.cont
|
|
ext_length u32 = 262144
|
|
llama_model_loader: - kv 19: qwen35moe.embedd
|
|
ing_length u32 = 2048
|
|
llama_model_loader: - kv 20: qwen35moe.attention.
|
|
head_count u32 = 16
|
|
llama_model_loader: - kv 21: qwen35moe.attention.hea
|
|
d_count_kv u32 = 2
|
|
llama_model_loader: - kv 22: qwen35moe.rope.dimensio
|
|
n_sections arr[i32,4] = [11, 11, 10, 0]
|
|
llama_model_loader: - kv 23: qwen35moe.rope
|
|
.freq_base f32 = 10000000.000000
|
|
llama_model_loader: - kv 24: qwen35moe.attention.layer_norm_r
|
|
ms_epsilon f32 = 0.000001
|
|
llama_model_loader: - kv 25: qwen35moe.ex
|
|
pert_count u32 = 256
|
|
llama_model_loader: - kv 26: qwen35moe.expert_
|
|
used_count u32 = 8
|
|
llama_model_loader: - kv 27: qwen35moe.attention.
|
|
key_length u32 = 256
|
|
llama_model_loader: - kv 28: qwen35moe.attention.va
|
|
lue_length u32 = 256
|
|
llama_model_loader: - kv 29: qwen35moe.expert_feed_forw
|
|
ard_length u32 = 512
|
|
llama_model_loader: - kv 30: qwen35moe.expert_shared_feed_for
|
|
ward_length u32 = 512
|
|
llama_model_loader: - kv 31: qwen35moe.ssm.c
|
|
onv_kernel u32 = 4
|
|
llama_model_loader: - kv 32: qwen35moe.ssm.
|
|
state_size u32 = 128
|
|
llama_model_loader: - kv 33: qwen35moe.ssm.g
|
|
roup_count u32 = 16
|
|
llama_model_loader: - kv 34: qwen35moe.ssm.time
|
|
_step_rank u32 = 32
|
|
llama_model_loader: - kv 35: qwen35moe.ssm.
|
|
inner_size u32 = 4096
|
|
llama_model_loader: - kv 36: qwen35moe.full_attentio
|
|
n_interval u32 = 4
|
|
llama_model_loader: - kv 37: qwen35moe.rope.dimen
|
|
sion_count u32 = 64
|
|
llama_model_loader: - kv 38: tokenizer.
|
|
ggml.model str = gpt2
|
|
llama_model_loader: - kv 39: tokenize
|
|
r.ggml.pre str = qwen35
|
|
llama_model_loader: - kv 40: tokenizer.g
|
|
gml.tokens arr[str,248320] = ["!", "\"", "#", "$", "%", "&",
|
|
"'", ...
|
|
llama_model_loader: - kv 41: tokenizer.ggml.
|
|
token_type arr[i32,248320] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
|
|
, 1, ...
|
|
llama_model_loader: - kv 42: tokenizer.g
|
|
gml.merges arr[str,247587] = ["휔 휔", "휔휔 휔휔", "i n", "휔 t",..
|
|
.
|
|
llama_model_loader: - kv 43: tokenizer.ggml.eo
|
|
s_token_id u32 = 248046
|
|
llama_model_loader: - kv 44: tokenizer.ggml.paddin
|
|
g_token_id u32 = 248055
|
|
llama_model_loader: - kv 45: tokenizer.cha
|
|
t_template str = {%- set image_count = namespace(
|
|
value...
|
|
llama_model_loader: - kv 46: general.quantizati
|
|
on_version u32 = 2
|
|
llama_model_loader: - kv 47: general
|
|
.file_type u32 = 15
|
|
llama_model_loader: - kv 48: quantize.im
|
|
atrix.file str = Qwen3.5-35B-A3B-GGUF/imatrix_uns
|
|
loth....
|
|
llama_model_loader: - kv 49: quantize.imatr
|
|
ix.dataset str = unsloth_calibration_Qwen3.5-35B-
|
|
A3B.txt
|
|
llama_model_loader: - kv 50: quantize.imatrix.ent
|
|
ries_count u32 = 510
|
|
llama_model_loader: - kv 51: quantize.imatrix.ch
|
|
unks_count u32 = 76
|
|
llama_model_loader: - type f32: 301 tensors
|
|
llama_model_loader: - type q8_0: 311 tensors
|
|
llama_model_loader: - type q4_K: 80 tensors
|
|
llama_model_loader: - type q5_K: 40 tensors
|
|
llama_model_loader: - type q6_K: 1 tensors
|
|
print_info: file format = GGUF V3 (latest)
|
|
print_info: file type = Q4_K - Medium
|
|
print_info: file size = 20.49 GiB (5.08 BPW)
|
|
load: 0 unused tokens
|
|
load: printing all EOG tokens:
|
|
load: - 248044 ('<|endoftext|>')
|
|
load: - 248046 ('<|im_end|>')
|
|
load: - 248063 ('<|fim_pad|>')
|
|
load: - 248064 ('<|repo_name|>')
|
|
load: - 248065 ('<|file_sep|>')
|
|
load: special tokens cache size = 33
|
|
load: token to piece cache size = 1.7581 MB
|
|
print_info: arch = qwen35moe
|
|
print_info: vocab_only = 0
|
|
print_info: no_alloc = 0
|
|
print_info: n_ctx_train = 262144
|
|
print_info: n_embd = 2048
|
|
print_info: n_embd_inp = 2048
|
|
print_info: n_layer = 40
|
|
print_info: n_head = 16
|
|
print_info: n_head_kv = 2
|
|
print_info: n_rot = 64
|
|
print_info: n_swa = 0
|
|
print_info: is_swa_any = 0
|
|
print_info: n_embd_head_k = 256
|
|
print_info: n_embd_head_v = 256
|
|
print_info: n_gqa = 8
|
|
print_info: n_embd_k_gqa = 512
|
|
print_info: n_embd_v_gqa = 512
|
|
print_info: f_norm_eps = 0.0e+00
|
|
print_info: f_norm_rms_eps = 1.0e-06
|
|
print_info: f_clamp_kqv = 0.0e+00
|
|
print_info: f_max_alibi_bias = 0.0e+00
|
|
print_info: f_logit_scale = 0.0e+00
|
|
print_info: f_attn_scale = 0.0e+00
|
|
print_info: n_ff = 0
|
|
print_info: n_expert = 256
|
|
print_info: n_expert_used = 8
|
|
print_info: n_expert_groups = 0
|
|
print_info: n_group_used = 0
|
|
print_info: causal attn = 1
|
|
print_info: pooling type = -1
|
|
print_info: rope type = 40
|
|
print_info: rope scaling = linear
|
|
print_info: freq_base_train = 10000000.0
|
|
print_info: freq_scale_train = 1
|
|
print_info: n_ctx_orig_yarn = 262144
|
|
print_info: rope_yarn_log_mul = 0.0000
|
|
print_info: rope_finetuned = unknown
|
|
print_info: mrope sections = [11, 11, 10, 0]
|
|
print_info: ssm_d_conv = 4
|
|
print_info: ssm_d_inner = 4096
|
|
print_info: ssm_d_state = 128
|
|
print_info: ssm_dt_rank = 32
|
|
print_info: ssm_n_group = 16
|
|
print_info: ssm_dt_b_c_rms = 0
|
|
print_info: model type = 35B.A3B
|
|
print_info: model params = 34.66 B
|
|
print_info: general.name = Qwen3.5-35B-A3B
|
|
print_info: vocab type = BPE
|
|
print_info: n_vocab = 248320
|
|
print_info: n_merges = 247587
|
|
print_info: BOS token = 11 ','
|
|
print_info: EOS token = 248046 '<|im_end|>'
|
|
print_info: EOT token = 248046 '<|im_end|>'
|
|
print_info: PAD token = 248055 '<|vision_pad|>'
|
|
print_info: LF token = 198 '훹'
|
|
print_info: FIM PRE token = 248060 '<|fim_prefix|>'
|
|
print_info: FIM SUF token = 248062 '<|fim_suffix|>'
|
|
print_info: FIM MID token = 248061 '<|fim_middle|>'
|
|
print_info: FIM PAD token = 248063 '<|fim_pad|>'
|
|
print_info: FIM REP token = 248064 '<|repo_name|>'
|
|
print_info: FIM SEP token = 248065 '<|file_sep|>'
|
|
print_info: EOG token = 248044 '<|endoftext|>'
|
|
print_info: EOG token = 248046 '<|im_end|>'
|
|
print_info: EOG token = 248063 '<|fim_pad|>'
|
|
print_info: EOG token = 248064 '<|repo_name|>'
|
|
print_info: EOG token = 248065 '<|file_sep|>'
|
|
print_info: max token length = 256
|
|
load_tensors: loading model tensors, this can take a while...
|
|
(mmap = false, direct_io = false)
|
|
load_tensors: offloading output layer to GPU
|
|
load_tensors: offloading 39 repeating layers to GPU
|
|
load_tensors: offloaded 41/41 layers to GPU
|
|
load_tensors: CUDA0 model buffer size = 9539.39 MiB
|
|
load_tensors: CUDA1 model buffer size = 10930.93 MiB
|
|
load_tensors: CUDA_Host model buffer size = 515.31 MiB
|
|
..............................................................
|
|
...................................
|
|
common_init_result: added <|endoftext|> logit bias = -inf
|
|
common_init_result: added <|im_end|> logit bias = -inf
|
|
common_init_result: added <|fim_pad|> logit bias = -inf
|
|
common_init_result: added <|repo_name|> logit bias = -inf
|
|
common_init_result: added <|file_sep|> logit bias = -inf
|
|
llama_context: constructing llama_context
|
|
llama_context: n_seq_max = 1
|
|
llama_context: n_ctx = 262144
|
|
llama_context: n_ctx_seq = 262144
|
|
llama_context: n_batch = 512
|
|
llama_context: n_ubatch = 128
|
|
llama_context: causal_attn = 1
|
|
llama_context: flash_attn = enabled
|
|
llama_context: kv_unified = false
|
|
llama_context: freq_base = 10000000.0
|
|
llama_context: freq_scale = 1
|
|
llama_context: CUDA_Host output buffer size = 0.95 MiB
|
|
llama_kv_cache: CUDA0 KV buffer size = 576.00 MiB
|
|
ggml_backend_cuda_buffer_type_alloc_buffer: allocating 864.00
|
|
MiB on device 1: cudaMalloc failed: out of memory
|
|
alloc_tensor_range: failed to allocate CUDA1 buffer of size 90
|
|
5969664
|
|
llama_init_from_model: failed to initialize the context: faile
|
|
d to allocate buffer for kv cache
|