Eval bug: when image is to big the vision model crash #20418

Name and Version

ggml_vulkan: Found 1 Vulkan devices:
ggml_vulkan: 0 = AMD Radeon RX 5700 XT (RADV NAVI10) (radv) | uma: 0 | fp16: 1 | bf16: 0 | warp size: 32 | shared memory: 65536 | int dot: 0 | matrix cores: none
version: 8252 (a241b0b)
built with GNU 15.2.1 for Linux x86_64

Operating systems

Linux

GGML backends

Vulkan

Hardware

AMD Radeon RX 5700 XT + AMD Ryzen 5 3600X 6-Core Processor

Models

Qwen3.5 35B A3B, Qwen3-Vl-30B-A3B-Thinking, Qwen3-Vl-4B-Thinking

Problem description & steps to reproduce

run inference with image a large image and got crash

First Bad Commit

No response

Relevant log output

ggml_vulkan: Found 1 Vulkan devices:
ggml_vulkan: 0 = AMD Radeon RX 5700 XT (RADV NAVI10) (radv) | uma: 0 | fp16: 1 | bf16: 0 | warp size: 32 | shared memory: 65536 | int dot: 0 | matrix cores: none
common_download_file_single_online: no previous model file found /home/feyleth/.cache/llama.cpp/unsloth_Qwen3.5-35B-A3B-GGUF_preset.ini
common_download_file_single_online: HEAD failed, status: 404
no remote preset found, skipping
common_download_file_single_online: using cached file (same etag): /home/feyleth/.cache/llama.cpp/unsloth_Qwen3.5-35B-A3B-GGUF_Qwen3.5-35B-A3B-MXFP4_MOE.gguf
common_download_file_single_online: using cached file (same etag): /home/feyleth/.cache/llama.cpp/unsloth_Qwen3.5-35B-A3B-GGUF_mmproj-F16.gguf
main: n_parallel is set to auto, using n_parallel = 4 and kv_unified = true
build: 8252 (a241b0b) with GNU 15.2.1 for Linux x86_64
system info: n_threads = 6, n_threads_batch = 6, total_threads = 12

system_info: n_threads = 6 (n_threads_batch = 6) / 12 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | BMI2 = 1 | LLAMAFILE = 1 | OPENMP = 1 | REPACK = 1 |

Running without SSL
init: using 11 threads for HTTP server
start: binding port with default address family
main: loading model
srv load_model: loading model '/home/feyleth/.cache/llama.cpp/unsloth_Qwen3.5-35B-A3B-GGUF_Qwen3.5-35B-A3B-MXFP4_MOE.gguf'
common_init_result: fitting params to device memory, for bugs during this step try to reproduce them with -fit off, or provide --verbose logs if the bug only occurs with -fit on
llama_params_fit_impl: projected to use 26238 MiB of device memory vs. 7289 MiB of free device memory
llama_params_fit_impl: cannot meet free memory target of 1024 MiB, need to reduce device memory by 19972 MiB
llama_params_fit_impl: context size reduced from 262144 to 4096 -> need 5347 MiB less memory in total
llama_params_fit_impl: with only dense weights in device memory there is a total surplus of 3405 MiB
llama_params_fit_impl: filling dense-only layers back-to-front:
llama_params_fit_impl: - Vulkan0 (AMD Radeon RX 5700 XT (RADV NAVI10)): 41 layers, 3308 MiB used, 3981 MiB free
llama_params_fit_impl: converting dense-only layers to full layers and filling them front-to-back with overflow to next device/system memory:
llama_params_fit_impl: - Vulkan0 (AMD Radeon RX 5700 XT (RADV NAVI10)): 41 layers (34 overflowing), 6127 MiB used, 1161 MiB free
llama_params_fit: successfully fit params to free device memory
llama_params_fit: fitting params to free memory took 4.32 seconds
llama_model_load_from_file_impl: using device Vulkan0 (AMD Radeon RX 5700 XT (RADV NAVI10)) (0000:29:00.0) - 7553 MiB free
llama_model_loader: loaded meta data with 52 key-value pairs and 733 tensors from /home/feyleth/.cache/llama.cpp/unsloth_Qwen3.5-35B-A3B-GGUF_Qwen3.5-35B-A3B-MXFP4_MOE.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 = qwen35moe
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.sampling.top_k i32 = 20
llama_model_loader: - kv 3: general.sampling.top_p f32 = 0.950000
llama_model_loader: - kv 4: general.sampling.temp f32 = 1.000000
llama_model_loader: - kv 5: general.name str = Qwen3.5-35B-A3B
llama_model_loader: - kv 6: general.basename str = Qwen3.5-35B-A3B
llama_model_loader: - kv 7: general.quantized_by str = Unsloth
llama_model_loader: - kv 8: general.size_label str = 35B-A3B
llama_model_loader: - kv 9: general.license str = apache-2.0
llama_model_loader: - kv 10: general.license.link str = https://huggingface.co/Qwen/Qwen3.5-3...
llama_model_loader: - kv 11: general.repo_url str = https://huggingface.co/unsloth
llama_model_loader: - kv 12: general.base_model.count u32 = 1
llama_model_loader: - kv 13: general.base_model.0.name str = Qwen3.5 35B A3B
llama_model_loader: - kv 14: general.base_model.0.organization str = Qwen
llama_model_loader: - kv 15: general.base_model.0.repo_url str = https://huggingface.co/Qwen/Qwen3.5-3...
llama_model_loader: - kv 16: general.tags arr[str,2] = ["unsloth", "image-text-to-text"]
llama_model_loader: - kv 17: qwen35moe.block_count u32 = 40
llama_model_loader: - kv 18: qwen35moe.context_length u32 = 262144
llama_model_loader: - kv 19: qwen35moe.embedding_length u32 = 2048
llama_model_loader: - kv 20: qwen35moe.attention.head_count u32 = 16
llama_model_loader: - kv 21: qwen35moe.attention.head_count_kv u32 = 2
llama_model_loader: - kv 22: qwen35moe.rope.dimension_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_rms_epsilon f32 = 0.000001
llama_model_loader: - kv 25: qwen35moe.expert_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.value_length u32 = 256
llama_model_loader: - kv 29: qwen35moe.expert_feed_forward_length u32 = 512
llama_model_loader: - kv 30: qwen35moe.expert_shared_feed_forward_length u32 = 512
llama_model_loader: - kv 31: qwen35moe.ssm.conv_kernel u32 = 4
llama_model_loader: - kv 32: qwen35moe.ssm.state_size u32 = 128
llama_model_loader: - kv 33: qwen35moe.ssm.group_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_attention_interval u32 = 4
llama_model_loader: - kv 37: qwen35moe.rope.dimension_count u32 = 64
llama_model_loader: - kv 38: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 39: tokenizer.ggml.pre str = qwen35
llama_model_loader: - kv 40: tokenizer.ggml.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.ggml.merges arr[str,247587] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv 43: tokenizer.ggml.eos_token_id u32 = 248046
llama_model_loader: - kv 44: tokenizer.ggml.padding_token_id u32 = 248055
llama_model_loader: - kv 45: tokenizer.chat_template str = {%- set image_count = namespace(value...
llama_model_loader: - kv 46: general.quantization_version u32 = 2
llama_model_loader: - kv 47: general.file_type u32 = 15
llama_model_loader: - kv 48: quantize.imatrix.file str = Qwen3.5-35B-A3B-GGUF/imatrix_unsloth....
llama_model_loader: - kv 49: quantize.imatrix.dataset str = unsloth_calibration_Qwen3.5-35B-A3B.txt
llama_model_loader: - kv 50: quantize.imatrix.entries_count u32 = 510
llama_model_loader: - kv 51: quantize.imatrix.chunks_count u32 = 76
llama_model_loader: - type f32: 301 tensors
llama_model_loader: - type q8_0: 312 tensors
llama_model_loader: - type q5_K: 41 tensors
llama_model_loader: - type q6_K: 1 tensors
llama_model_loader: - type mxfp4: 78 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q4_K - Medium
print_info: file size = 20.09 GiB (4.98 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 = 0
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 'Ċ'
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 = true, 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: CPU_Mapped model buffer size = 20060.71 MiB
load_tensors: Vulkan0 model buffer size = 5295.65 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 = 4
llama_context: n_ctx = 4096
llama_context: n_ctx_seq = 4096
llama_context: n_batch = 2048
llama_context: n_ubatch = 512
llama_context: causal_attn = 1
llama_context: flash_attn = auto
llama_context: kv_unified = true
llama_context: freq_base = 10000000.0
llama_context: freq_scale = 1
llama_context: n_ctx_seq (4096) < n_ctx_train (262144) -- the full capacity of the model will not be utilized
llama_context: Vulkan_Host output buffer size = 3.79 MiB
llama_kv_cache: Vulkan0 KV buffer size = 80.00 MiB
llama_kv_cache: size = 80.00 MiB ( 4096 cells, 10 layers, 4/1 seqs), K (f16): 40.00 MiB, V (f16): 40.00 MiB
llama_memory_recurrent: Vulkan0 RS buffer size = 251.25 MiB
llama_memory_recurrent: size = 251.25 MiB ( 4 cells, 40 layers, 4 seqs), R (f32): 11.25 MiB, S (f32): 240.00 MiB
sched_reserve: reserving ...
sched_reserve: Flash Attention was auto, set to enabled
sched_reserve: layer 0 is assigned to device Vulkan0 but the fused Gated Delta Net tensor is assigned to device CPU (usually due to missing support)
sched_reserve: fused Gated Delta Net not supported, set to disabled
sched_reserve: Vulkan0 compute buffer size = 501.02 MiB
sched_reserve: Vulkan_Host compute buffer size = 16.03 MiB
sched_reserve: graph nodes = 6699 (with bs=512), 4389 (with bs=1)
sched_reserve: graph splits = 104 (with bs=512), 72 (with bs=1)
sched_reserve: reserve took 33.46 ms, sched copies = 1
common_init_from_params: warming up the model with an empty run - please wait ... (--no-warmup to disable)
clip_model_loader: model name: Qwen3.5-35B-A3B
clip_model_loader: description:
clip_model_loader: GGUF version: 3
clip_model_loader: alignment: 32
clip_model_loader: n_tensors: 334
clip_model_loader: n_kv: 35

clip_model_loader: has vision encoder
clip_ctx: CLIP using Vulkan0 backend
load_hparams: Qwen-VL models require at minimum 1024 image tokens to function correctly on grounding tasks
load_hparams: if you encounter problems with accuracy, try adding --image-min-tokens 1024
load_hparams: more info: #16842

load_hparams: projector: qwen3vl_merger
load_hparams: n_embd: 1152
load_hparams: n_head: 16
load_hparams: n_ff: 4304
load_hparams: n_layer: 27
load_hparams: ffn_op: gelu
load_hparams: projection_dim: 2048

--- vision hparams ---
load_hparams: image_size: 768
load_hparams: patch_size: 16
load_hparams: has_llava_proj: 0
load_hparams: minicpmv_version: 0
load_hparams: n_merge: 2
load_hparams: n_wa_pattern: 0
load_hparams: image_min_pixels: 8192
load_hparams: image_max_pixels: 4194304

load_hparams: model size: 857.60 MiB
load_hparams: metadata size: 0.12 MiB
warmup: warmup with image size = 1472 x 1472
alloc_compute_meta: Vulkan0 compute buffer size = 248.10 MiB
alloc_compute_meta: CPU compute buffer size = 24.93 MiB
alloc_compute_meta: graph splits = 1, nodes = 823
warmup: flash attention is enabled
srv load_model: loaded multimodal model, '/home/feyleth/.cache/llama.cpp/unsloth_Qwen3.5-35B-A3B-GGUF_mmproj-F16.gguf'
srv load_model: initializing slots, n_slots = 4
common_speculative_is_compat: the target context does not support partial sequence removal
srv load_model: speculative decoding not supported by this context
slot load_model: id 0 | task -1 | new slot, n_ctx = 4096
slot load_model: id 1 | task -1 | new slot, n_ctx = 4096
slot load_model: id 2 | task -1 | new slot, n_ctx = 4096
slot load_model: id 3 | task -1 | new slot, n_ctx = 4096
srv load_model: prompt cache is enabled, size limit: 8192 MiB
srv load_model: use --cache-ram 0 to disable the prompt cache
srv load_model: for more info see #16391
init: chat template, example_format: '<|im_start|>system
You are a helpful assistant<|im_end|>
<|im_start|>user
Hello<|im_end|>
<|im_start|>assistant
Hi there<|im_end|>
<|im_start|>user
How are you?<|im_end|>
<|im_start|>assistant

'
srv init: init: chat template, thinking = 1
main: model loaded
main: server is listening on http://127.0.0.1:8080
main: starting the main loop...
srv update_slots: all slots are idle
srv log_server_r: done request: GET / 127.0.0.1 200
srv params_from_: Chat format: peg-native
slot get_availabl: id 3 | task -1 | selected slot by LRU, t_last = -1
slot launch_slot_: id 3 | task -1 | sampler chain: logits -> ?penalties -> ?dry -> ?top-n-sigma -> top-k -> ?typical -> top-p -> min-p -> ?xtc -> temp-ext -> dist
slot launch_slot_: id 3 | task 0 | processing task, is_child = 0
slot update_slots: id 3 | task 0 | new prompt, n_ctx_slot = 4096, n_keep = 0, task.n_tokens = 4034
slot update_slots: id 3 | task 0 | n_tokens = 0, memory_seq_rm [0, end)
slot update_slots: id 3 | task 0 | prompt processing progress, n_tokens = 11, batch.n_tokens = 11, progress = 0.002727
srv log_server_r: done request: POST /v1/chat/completions 127.0.0.1 200
slot update_slots: id 3 | task 0 | n_tokens = 11, memory_seq_rm [11, end)
srv process_chun: processing image...
encoding image slice...
image slice encoded in 2260 ms
decoding image batch 1/2, n_tokens_batch = 2048
find_slot: non-consecutive token position 11 after 10 for sequence 3 with 512 new tokens
find_slot: non-consecutive token position 11 after 11 for sequence 3 with 512 new tokens
find_slot: non-consecutive token position 11 after 11 for sequence 3 with 512 new tokens
find_slot: non-consecutive token position 11 after 11 for sequence 3 with 512 new tokens
find_slot: non-consecutive token position 11 after 10 for sequence 3 with 512 new tokens
radv/amdgpu: The CS has been cancelled because the context is lost. This context is innocent.
[New LWP 64774]
[New LWP 64773]
[New LWP 64772]
[New LWP 64771]
[New LWP 64770]
[New LWP 64683]
[New LWP 64682]
[New LWP 64681]
[New LWP 64680]
[New LWP 64679]
[New LWP 64678]
[New LWP 64677]
[New LWP 64676]
[New LWP 64675]
[New LWP 64674]
[New LWP 64673]
[New LWP 64672]
[New LWP 64671]
[New LWP 64669]
[New LWP 64668]

This GDB supports auto-downloading debuginfo from the following URLs:
https://debuginfod.archlinux.org
Enable debuginfod for this session? (y or [n]) [answered N; input not from terminal]
Debuginfod has been disabled.
To make this setting permanent, add 'set debuginfod enabled off' to .gdbinit.
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/usr/lib/libthread_db.so.1".
0x00007f50a56adf32 in ?? () from /usr/lib/libc.so.6
#0 0x00007f50a56adf32 in ?? () from /usr/lib/libc.so.6
#1 0x00007f50a56a239c in ?? () from /usr/lib/libc.so.6
#2 0x00007f50a56a23e4 in ?? () from /usr/lib/libc.so.6
#3 0x00007f50a571267f in wait4 () from /usr/lib/libc.so.6
#4 0x00007f50a5f627bd in ggml_print_backtrace () from /usr/lib/libggml-base.so.0
#5 0x00007f50a5f7c76e in ?? () from /usr/lib/libggml-base.so.0
#6 0x00007f50a58b1eba in ?? () from /usr/lib/libstdc++.so.6
#7 0x00007f50a58975d9 in std::terminate() () from /usr/lib/libstdc++.so.6
#8 0x00007f50a58b2176 in __cxa_throw () from /usr/lib/libstdc++.so.6
#9 0x00007f50a1e6f5d9 in ?? () from /usr/lib/libggml-vulkan.so.0
#10 0x00007f50a1fa5378 in ?? () from /usr/lib/libggml-vulkan.so.0
#11 0x00007f50a1fa6eac in ?? () from /usr/lib/libggml-vulkan.so.0
#12 0x00007f50a5f7fcff in ggml_backend_sched_alloc_graph () from /usr/lib/libggml-base.so.0
#13 0x00007f50a5ca781c in llama_context::process_ubatch(llama_ubatch const&, llm_graph_type, llama_memory_context_i*, ggml_status&) () from /usr/lib/libllama.so.0
#14 0x00007f50a5cab45a in llama_context::decode(llama_batch const&) () from /usr/lib/libllama.so.0
#15 0x00007f50a5cb8ad6 in llama_decode () from /usr/lib/libllama.so.0
#16 0x00007f50a66c3415 in mtmd_helper_decode_image_chunk () from /usr/lib/libmtmd.so.0
#17 0x00007f50a66c48c6 in mtmd_helper_eval_chunk_single () from /usr/lib/libmtmd.so.0
#18 0x0000555a40f6a417 in ?? ()
#19 0x0000555a40fc524c in ?? ()
#20 0x0000555a40eec169 in ?? ()
#21 0x00007f50a56366c1 in ?? () from /usr/lib/libc.so.6
#22 0x00007f50a56367f9 in __libc_start_main () from /usr/lib/libc.so.6
#23 0x0000555a40ef39a5 in ?? ()
[Inferior 1 (process 64666) detached]
terminate called after throwing an instance of 'vk::DeviceLostError'
what(): vk::Queue::submit: ErrorDeviceLost