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amd-strix-halo-toolboxes/benchmark/loadtime_results/gemma-3-27b-it-BF16-00001-of-00002__vulkan_amdvlk.log
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Donato Capitella e7e27e6cf3 Benchmark and container updates
2025-08-03 13:05:52 +01:00

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ggml_vulkan: Found 1 Vulkan devices:
ggml_vulkan: 0 = Radeon 8060S Graphics (AMD open-source driver) | uma: 1 | fp16: 1 | bf16: 0 | warp size: 64 | shared memory: 32768 | int dot: 1 | matrix cores: KHR_coopmat
build: 6060 (9c35706b) with cc (GCC) 15.1.1 20250719 (Red Hat 15.1.1-5) for x86_64-redhat-linux
main: llama backend init
main: load the model and apply lora adapter, if any
llama_model_load_from_file_impl: using device Vulkan0 (Radeon 8060S Graphics) - 85720 MiB free
llama_model_loader: additional 1 GGUFs metadata loaded.
llama_model_loader: loaded meta data with 39 key-value pairs and 808 tensors from /home/kyuz0/models/gemma-3-27b-it-BF16/gemma-3-27b-it-BF16-00001-of-00002.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 = gemma3
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = Gemma-3-27B-It
llama_model_loader: - kv 3: general.finetune str = it
llama_model_loader: - kv 4: general.basename str = Gemma-3-27B-It
llama_model_loader: - kv 5: general.quantized_by str = Unsloth
llama_model_loader: - kv 6: general.size_label str = 27B
llama_model_loader: - kv 7: general.repo_url str = https://huggingface.co/unsloth
llama_model_loader: - kv 8: gemma3.context_length u32 = 131072
llama_model_loader: - kv 9: gemma3.embedding_length u32 = 5376
llama_model_loader: - kv 10: gemma3.block_count u32 = 62
llama_model_loader: - kv 11: gemma3.feed_forward_length u32 = 21504
llama_model_loader: - kv 12: gemma3.attention.head_count u32 = 32
llama_model_loader: - kv 13: gemma3.attention.layer_norm_rms_epsilon f32 = 0.000001
llama_model_loader: - kv 14: gemma3.attention.key_length u32 = 128
llama_model_loader: - kv 15: gemma3.attention.value_length u32 = 128
llama_model_loader: - kv 16: general.file_type u32 = 32
llama_model_loader: - kv 17: gemma3.rope.freq_base f32 = 1000000.000000
llama_model_loader: - kv 18: gemma3.attention.sliding_window u32 = 1024
llama_model_loader: - kv 19: gemma3.attention.head_count_kv u32 = 16
llama_model_loader: - kv 20: gemma3.rope.scaling.type str = linear
llama_model_loader: - kv 21: gemma3.rope.scaling.factor f32 = 8.000000
llama_model_loader: - kv 22: general.quantization_version u32 = 2
llama_model_loader: - kv 23: tokenizer.ggml.model str = llama
llama_model_loader: - kv 24: tokenizer.ggml.pre str = default
llama_model_loader: - kv 25: tokenizer.ggml.tokens arr[str,262208] = ["<pad>", "<eos>", "<bos>", "<unk>", ...
llama_model_loader: - kv 26: tokenizer.ggml.scores arr[f32,262208] = [-1000.000000, -1000.000000, -1000.00...
llama_model_loader: - kv 27: tokenizer.ggml.token_type arr[i32,262208] = [3, 3, 3, 3, 3, 4, 3, 3, 3, 3, 3, 3, ...
llama_model_loader: - kv 28: tokenizer.ggml.bos_token_id u32 = 2
llama_model_loader: - kv 29: tokenizer.ggml.eos_token_id u32 = 106
llama_model_loader: - kv 30: tokenizer.ggml.unknown_token_id u32 = 3
llama_model_loader: - kv 31: tokenizer.ggml.padding_token_id u32 = 0
llama_model_loader: - kv 32: tokenizer.ggml.add_bos_token bool = true
llama_model_loader: - kv 33: tokenizer.ggml.add_eos_token bool = false
llama_model_loader: - kv 34: tokenizer.chat_template str = {{ bos_token }}\n{%- if messages[0]['r...
llama_model_loader: - kv 35: tokenizer.ggml.add_space_prefix bool = false
llama_model_loader: - kv 36: split.no u16 = 0
llama_model_loader: - kv 37: split.count u16 = 2
llama_model_loader: - kv 38: split.tensors.count i32 = 808
llama_model_loader: - type f32: 373 tensors
llama_model_loader: - type bf16: 435 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = BF16
print_info: file size = 50.31 GiB (16.00 BPW)
load: special tokens cache size = 6415
load: token to piece cache size = 1.9446 MB
print_info: arch = gemma3
print_info: vocab_only = 0
print_info: n_ctx_train = 131072
print_info: n_embd = 5376
print_info: n_layer = 62
print_info: n_head = 32
print_info: n_head_kv = 16
print_info: n_rot = 128
print_info: n_swa = 1024
print_info: is_swa_any = 1
print_info: n_embd_head_k = 128
print_info: n_embd_head_v = 128
print_info: n_gqa = 2
print_info: n_embd_k_gqa = 2048
print_info: n_embd_v_gqa = 2048
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 = 7.7e-02
print_info: n_ff = 21504
print_info: n_expert = 0
print_info: n_expert_used = 0
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 = 0.125
print_info: n_ctx_orig_yarn = 131072
print_info: rope_finetuned = unknown
print_info: model type = 27B
print_info: model params = 27.01 B
print_info: general.name = Gemma-3-27B-It
print_info: vocab type = SPM
print_info: n_vocab = 262208
print_info: n_merges = 0
print_info: BOS token = 2 '<bos>'
print_info: EOS token = 106 '<end_of_turn>'
print_info: EOT token = 106 '<end_of_turn>'
print_info: UNK token = 3 '<unk>'
print_info: PAD token = 0 '<pad>'
print_info: LF token = 248 '<0x0A>'
print_info: EOG token = 106 '<end_of_turn>'
print_info: max token length = 48
load_tensors: loading model tensors, this can take a while... (mmap = false)
ggml_vulkan: Device memory allocation of size 2819260416 failed.
ggml_vulkan: Requested buffer size exceeds device memory allocation limit: ErrorOutOfDeviceMemory
alloc_tensor_range: failed to allocate Vulkan0 buffer of size 2819260416
llama_model_load: error loading model: unable to allocate Vulkan0 buffer
llama_model_load_from_file_impl: failed to load model
common_init_from_params: failed to load model '/home/kyuz0/models/gemma-3-27b-it-BF16/gemma-3-27b-it-BF16-00001-of-00002.gguf'
main: error: unable to load model
Elapsed #3: .416644024s
Run #3 status: 1
✖ run #3 failed
→ No successful runs
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