llama.cpp
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Published
2 months ago
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ggml-org
ggml-org
Eval bug: mmvq.cu:519: GGML_ASSERT(!src0->view_src) failed
Name and Version
version: 5340 (15e6125a) built with cc (GCC) 15.1.1 20250425 for x86_64-pc-linux-gnu
Operating systems
Linux
GGML backends
HIP
Hardware
RX 7800XT + Ryzen 7800X3D
Models
Qwen3-30B-A3B-UD-Q8_K_XL.gguf https://huggingface.co/unsloth/Qwen3-30B-A3B-GGUF
Problem description & steps to reproduce
With -ub >= 64 that assert fails. The first bad commit was https://github.com/ggml-org/llama.cpp/commit/907036502070ba608bdb2aaebf802092d4cfba07, which gave the same error as #13329. After https://github.com/ggml-org/llama.cpp/pull/13337/commits/0fae54fdbf31d30a0db5fd5b23c8cbedfe70759a, it fails at a different point.
HIP_VISIBLE_DEVICES=0 llama.cpp/build/bin/llama-cli -m models/Qwen3-30B-A3B-UD-Q8_K_XL.gguf -p "Translate: Kaikki ihmiset syntyvät vapaina ja tasavertaisina arvoltaan ja oikeuksiltaan. Heille on annettu järki ja omatunto, ja heidän on toimittava toisiaan kohtaan veljeyden hengessä." -t 8 -ngl 99 -b 512 -ub 512 -c 24576 --override-tensor "([0-9]+).ffn_.*_exps.=CPU"
It works fine with a sufficiently short prompt (<64 tokens?).
e: Works fine on Vulkan, though pp is rather slow.
First Bad Commit
https://github.com/ggml-org/llama.cpp/commit/907036502070ba608bdb2aaebf802092d4cfba07
Relevant log output
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 1 ROCm devices:
Device 0: AMD Radeon RX 7800 XT, gfx1101 (0x1101), VMM: no, Wave Size: 32
build: 5340 (15e6125a) with cc (GCC) 15.1.1 20250425 for x86_64-pc-linux-gnu
main: llama backend init
main: load the model and apply lora adapter, if any
llama_model_load_from_file_impl: using device ROCm0 (AMD Radeon RX 7800 XT) - 16184 MiB free
llama_model_loader: loaded meta data with 35 key-value pairs and 579 tensors from models/Qwen3-30B-A3B-UD-Q8_K_XL.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 = qwen3moe
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = Qwen3-30B-A3B
llama_model_loader: - kv 3: general.basename str = Qwen3-30B-A3B
llama_model_loader: - kv 4: general.quantized_by str = Unsloth
llama_model_loader: - kv 5: general.size_label str = 30B-A3B
llama_model_loader: - kv 6: general.repo_url str = https://huggingface.co/unsloth
llama_model_loader: - kv 7: qwen3moe.block_count u32 = 48
llama_model_loader: - kv 8: qwen3moe.context_length u32 = 40960
llama_model_loader: - kv 9: qwen3moe.embedding_length u32 = 2048
llama_model_loader: - kv 10: qwen3moe.feed_forward_length u32 = 6144
llama_model_loader: - kv 11: qwen3moe.attention.head_count u32 = 32
llama_model_loader: - kv 12: qwen3moe.attention.head_count_kv u32 = 4
llama_model_loader: - kv 13: qwen3moe.rope.freq_base f32 = 1000000,000000
llama_model_loader: - kv 14: qwen3moe.attention.layer_norm_rms_epsilon f32 = 0,000001
llama_model_loader: - kv 15: qwen3moe.expert_used_count u32 = 8
llama_model_loader: - kv 16: qwen3moe.attention.key_length u32 = 128
llama_model_loader: - kv 17: qwen3moe.attention.value_length u32 = 128
llama_model_loader: - kv 18: qwen3moe.expert_count u32 = 128
llama_model_loader: - kv 19: qwen3moe.expert_feed_forward_length u32 = 768
llama_model_loader: - kv 20: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 21: tokenizer.ggml.pre str = qwen2
llama_model_loader: - kv 22: tokenizer.ggml.tokens arr[str,151936] = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 23: tokenizer.ggml.token_type arr[i32,151936] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 24: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv 25: tokenizer.ggml.eos_token_id u32 = 151645
llama_model_loader: - kv 26: tokenizer.ggml.padding_token_id u32 = 151654
llama_model_loader: - kv 27: tokenizer.ggml.add_bos_token bool = false
llama_model_loader: - kv 28: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>...
llama_model_loader: - kv 29: general.quantization_version u32 = 2
llama_model_loader: - kv 30: general.file_type u32 = 7
llama_model_loader: - kv 31: quantize.imatrix.file str = Qwen3-30B-A3B-GGUF/imatrix_unsloth.dat
llama_model_loader: - kv 32: quantize.imatrix.dataset str = unsloth_calibration_Qwen3-30B-A3B.txt
llama_model_loader: - kv 33: quantize.imatrix.entries_count i32 = 384
llama_model_loader: - kv 34: quantize.imatrix.chunks_count i32 = 685
llama_model_loader: - type f32: 241 tensors
llama_model_loader: - type q8_0: 263 tensors
llama_model_loader: - type bf16: 75 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q8_0
print_info: file size = 33,51 GiB (9,43 BPW)
load: special tokens cache size = 26
load: token to piece cache size = 0,9311 MB
print_info: arch = qwen3moe
print_info: vocab_only = 0
print_info: n_ctx_train = 40960
print_info: n_embd = 2048
print_info: n_layer = 48
print_info: n_head = 32
print_info: n_head_kv = 4
print_info: n_rot = 128
print_info: n_swa = 0
print_info: n_swa_pattern = 1
print_info: n_embd_head_k = 128
print_info: n_embd_head_v = 128
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 = 6144
print_info: n_expert = 128
print_info: n_expert_used = 8
print_info: causal attn = 1
print_info: pooling type = 0
print_info: rope type = 2
print_info: rope scaling = linear
print_info: freq_base_train = 1000000,0
print_info: freq_scale_train = 1
print_info: n_ctx_orig_yarn = 40960
print_info: rope_finetuned = unknown
print_info: ssm_d_conv = 0
print_info: ssm_d_inner = 0
print_info: ssm_d_state = 0
print_info: ssm_dt_rank = 0
print_info: ssm_dt_b_c_rms = 0
print_info: model type = 30B.A3B
print_info: model params = 30,53 B
print_info: general.name = Qwen3-30B-A3B
print_info: n_ff_exp = 768
print_info: vocab type = BPE
print_info: n_vocab = 151936
print_info: n_merges = 151387
print_info: BOS token = 11 ','
print_info: EOS token = 151645 '<|im_end|>'
print_info: EOT token = 151645 '<|im_end|>'
print_info: PAD token = 151654 '<|vision_pad|>'
print_info: LF token = 198 'Ċ'
print_info: FIM PRE token = 151659 '<|fim_prefix|>'
print_info: FIM SUF token = 151661 '<|fim_suffix|>'
print_info: FIM MID token = 151660 '<|fim_middle|>'
print_info: FIM PAD token = 151662 '<|fim_pad|>'
print_info: FIM REP token = 151663 '<|repo_name|>'
print_info: FIM SEP token = 151664 '<|file_sep|>'
print_info: EOG token = 151643 '<|endoftext|>'
print_info: EOG token = 151645 '<|im_end|>'
print_info: EOG token = 151662 '<|fim_pad|>'
print_info: EOG token = 151663 '<|repo_name|>'
print_info: EOG token = 151664 '<|file_sep|>'
print_info: max token length = 256
load_tensors: loading model tensors, this can take a while... (mmap = true)
load_tensors: offloading 48 repeating layers to GPU
load_tensors: offloading output layer to GPU
load_tensors: offloaded 49/49 layers to GPU
load_tensors: CPU_Mapped model buffer size = 33723,48 MiB
load_tensors: ROCm0 model buffer size = 1647,49 MiB
..................................................................................................
llama_context: constructing llama_context
llama_context: n_seq_max = 1
llama_context: n_ctx = 24576
llama_context: n_ctx_per_seq = 24576
llama_context: n_batch = 512
llama_context: n_ubatch = 512
llama_context: causal_attn = 1
llama_context: flash_attn = 0
llama_context: freq_base = 1000000,0
llama_context: freq_scale = 1
llama_context: n_ctx_per_seq (24576) < n_ctx_train (40960) -- the full capacity of the model will not be utilized
llama_context: ROCm_Host output buffer size = 0,58 MiB
llama_kv_cache_unified: kv_size = 24576, type_k = 'f16', type_v = 'f16', n_layer = 48, can_shift = 1, padding = 32
llama_kv_cache_unified: ROCm0 KV buffer size = 2304,00 MiB
llama_kv_cache_unified: KV self size = 2304,00 MiB, K (f16): 1152,00 MiB, V (f16): 1152,00 MiB
llama_context: ROCm0 compute buffer size = 1612,00 MiB
llama_context: ROCm_Host compute buffer size = 52,01 MiB
llama_context: graph nodes = 3126
llama_context: graph splits = 146 (with bs=512), 98 (with bs=1)
common_init_from_params: setting dry_penalty_last_n to ctx_size = 24576
common_init_from_params: warming up the model with an empty run - please wait ... (--no-warmup to disable)
main: llama threadpool init, n_threads = 8
main: chat template is available, enabling conversation mode (disable it with -no-cnv)
*** User-specified prompt will pre-start conversation, did you mean to set --system-prompt (-sys) instead?
main: chat template example:
<|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
system_info: n_threads = 8 (n_threads_batch = 8) / 16 | ROCm : NO_VMM = 1 | PEER_MAX_BATCH_SIZE = 128 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | BMI2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | AVX512_BF16 = 1 | LLAMAFILE = 1 | OPENMP = 1 | AARCH64_REPACK = 1 |
main: interactive mode on.
sampler seed: 1261262046
sampler params:
repeat_last_n = 64, repeat_penalty = 1,000, frequency_penalty = 0,000, presence_penalty = 0,000
dry_multiplier = 0,000, dry_base = 1,750, dry_allowed_length = 2, dry_penalty_last_n = 24576
top_k = 40, top_p = 0,950, min_p = 0,050, xtc_probability = 0,000, xtc_threshold = 0,100, typical_p = 1,000, top_n_sigma = -1,000, temp = 0,800
mirostat = 0, mirostat_lr = 0,100, mirostat_ent = 5,000
sampler chain: logits -> logit-bias -> penalties -> dry -> top-n-sigma -> top-k -> typical -> top-p -> min-p -> xtc -> temp-ext -> dist
generate: n_ctx = 24576, n_batch = 512, n_predict = -1, n_keep = 0
== Running in interactive mode. ==
- Press Ctrl+C to interject at any time.
- Press Return to return control to the AI.
- To return control without starting a new line, end your input with '/'.
- If you want to submit another line, end your input with '\'.
- Not using system message. To change it, set a different value via -sys PROMPT
user
Translate: Kaikki ihmiset syntyvät vapaina ja tasavertaisina arvoltaan ja oikeuksiltaan. Heille on annettu järki ja omatunto, ja heidän on toimittava toisiaan kohtaan veljeyden hengessä.
assistant
/mnt/Data1/llm/llama.cpp/ggml/src/ggml-cuda/mmvq.cu:519: GGML_ASSERT(!src0->view_src) failed
ptrace: Operation not permitted.
No stack.
The program is not being run.
