Qwen1.5-A2.7B cannot be offload on iGPU about bigdl HOT 2 OPEN

(llm-cpp) D:\Users\Documents\Projects\llama-cpp>server.exe -m "qwen1_5-0_5b-chat-q6_k.gguf" -ngl 999
{"tid":"4428","timestamp":1719324251,"level":"INFO","function":"main","line":2943,"msg":"build info","build":1,"commit":"adbd0dc"}
{"tid":"4428","timestamp":1719324251,"level":"INFO","function":"main","line":2950,"msg":"system info","n_threads":11,"n_threads_batch":-1,"total_threads":22,"system_info":"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 | "}
llama_model_loader: loaded meta data with 21 key-value pairs and 291 tensors from qwen1_5-0_5b-chat-q6_k.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              = qwen2
llama_model_loader: - kv   1:                               general.name str              = Qwen1.5-0.5B-Chat-AWQ-fp16
llama_model_loader: - kv   2:                          qwen2.block_count u32              = 24
llama_model_loader: - kv   3:                       qwen2.context_length u32              = 32768
llama_model_loader: - kv   4:                     qwen2.embedding_length u32              = 1024
llama_model_loader: - kv   5:                  qwen2.feed_forward_length u32              = 2816
llama_model_loader: - kv   6:                 qwen2.attention.head_count u32              = 16
llama_model_loader: - kv   7:              qwen2.attention.head_count_kv u32              = 16
llama_model_loader: - kv   8:     qwen2.attention.layer_norm_rms_epsilon f32              = 0.000001
llama_model_loader: - kv   9:                       qwen2.rope.freq_base f32              = 1000000.000000
llama_model_loader: - kv  10:                qwen2.use_parallel_residual bool             = true
llama_model_loader: - kv  11:                       tokenizer.ggml.model str              = gpt2
llama_model_loader: - kv  12:                      tokenizer.ggml.tokens arr[str,151936]  = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv  13:                  tokenizer.ggml.token_type arr[i32,151936]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv  14:                      tokenizer.ggml.merges arr[str,151387]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv  15:                tokenizer.ggml.eos_token_id u32              = 151645
llama_model_loader: - kv  16:            tokenizer.ggml.padding_token_id u32              = 151643
llama_model_loader: - kv  17:                tokenizer.ggml.bos_token_id u32              = 151643
llama_model_loader: - kv  18:                    tokenizer.chat_template str              = {% for message in messages %}{{'<|im_...
llama_model_loader: - kv  19:               general.quantization_version u32              = 2
llama_model_loader: - kv  20:                          general.file_type u32              = 18
llama_model_loader: - type  f32:  121 tensors
llama_model_loader: - type q6_K:  170 tensors
llm_load_vocab: missing pre-tokenizer type, using: 'default'
llm_load_vocab:
llm_load_vocab: ************************************
llm_load_vocab: GENERATION QUALITY WILL BE DEGRADED!
llm_load_vocab: CONSIDER REGENERATING THE MODEL
llm_load_vocab: ************************************
llm_load_vocab:
llm_load_vocab: special tokens definition check successful ( 293/151936 ).
llm_load_print_meta: format           = GGUF V3 (latest)
llm_load_print_meta: arch             = qwen2
llm_load_print_meta: vocab type       = BPE
llm_load_print_meta: n_vocab          = 151936
llm_load_print_meta: n_merges         = 151387
llm_load_print_meta: n_ctx_train      = 32768
llm_load_print_meta: n_embd           = 1024
llm_load_print_meta: n_head           = 16
llm_load_print_meta: n_head_kv        = 16
llm_load_print_meta: n_layer          = 24
llm_load_print_meta: n_rot            = 64
llm_load_print_meta: n_embd_head_k    = 64
llm_load_print_meta: n_embd_head_v    = 64
llm_load_print_meta: n_gqa            = 1
llm_load_print_meta: n_embd_k_gqa     = 1024
llm_load_print_meta: n_embd_v_gqa     = 1024
llm_load_print_meta: f_norm_eps       = 0.0e+00
llm_load_print_meta: f_norm_rms_eps   = 1.0e-06
llm_load_print_meta: f_clamp_kqv      = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: f_logit_scale    = 0.0e+00
llm_load_print_meta: n_ff             = 2816
llm_load_print_meta: n_expert         = 0
llm_load_print_meta: n_expert_used    = 0
llm_load_print_meta: causal attn      = 1
llm_load_print_meta: pooling type     = 0
llm_load_print_meta: rope type        = 2
llm_load_print_meta: rope scaling     = linear
llm_load_print_meta: freq_base_train  = 1000000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx  = 32768
llm_load_print_meta: rope_finetuned   = unknown
llm_load_print_meta: ssm_d_conv       = 0
llm_load_print_meta: ssm_d_inner      = 0
llm_load_print_meta: ssm_d_state      = 0
llm_load_print_meta: ssm_dt_rank      = 0
llm_load_print_meta: model type       = 0.5B
llm_load_print_meta: model ftype      = Q6_K
llm_load_print_meta: model params     = 619.57 M
llm_load_print_meta: model size       = 485.07 MiB (6.57 BPW)
llm_load_print_meta: general.name     = Qwen1.5-0.5B-Chat-AWQ-fp16
llm_load_print_meta: BOS token        = 151643 '<|endoftext|>'
llm_load_print_meta: EOS token        = 151645 '<|im_end|>'
llm_load_print_meta: PAD token        = 151643 '<|endoftext|>'
llm_load_print_meta: LF token         = 148848 'ÄĬ'
llm_load_print_meta: EOT token        = 151645 '<|im_end|>'
[SYCL] call ggml_init_sycl
ggml_init_sycl: GGML_SYCL_DEBUG: 0
ggml_init_sycl: GGML_SYCL_F16: no
found 1 SYCL devices:
|  |                   |                                       |       |Max    |        |Max  |Global |
    |
|  |                   |                                       |       |compute|Max work|sub  |mem    |
    |
|ID|        Device Type|                                   Name|Version|units  |group   |group|size   |       Driver version|
|--|-------------------|---------------------------------------|-------|-------|--------|-----|-------|---------------------|
| 0| [level_zero:gpu:0]|                     Intel Arc Graphics|    1.3|    128|    1024|   32| 13578M|            1.3.27504|
ggml_backend_sycl_set_mul_device_mode: true
detect 1 SYCL GPUs: [0] with top Max compute units:128
llm_load_tensors: ggml ctx size =    0.28 MiB
llm_load_tensors: offloading 24 repeating layers to GPU
llm_load_tensors: offloading non-repeating layers to GPU
llm_load_tensors: offloaded 25/25 layers to GPU
llm_load_tensors:      SYCL0 buffer size =   363.36 MiB
llm_load_tensors:        CPU buffer size =   121.71 MiB
...................................................
llama_new_context_with_model: n_ctx      = 512
llama_new_context_with_model: n_batch    = 512
llama_new_context_with_model: n_ubatch   = 512
llama_new_context_with_model: flash_attn = 0
llama_new_context_with_model: freq_base  = 1000000.0
llama_new_context_with_model: freq_scale = 1
llama_kv_cache_init:      SYCL0 KV buffer size =    48.00 MiB
llama_new_context_with_model: KV self size  =   48.00 MiB, K (f16):   24.00 MiB, V (f16):   24.00 MiB
llama_new_context_with_model:  SYCL_Host  output buffer size =     1.16 MiB
llama_new_context_with_model:      SYCL0 compute buffer size =   298.75 MiB
llama_new_context_with_model:  SYCL_Host compute buffer size =     3.01 MiB
llama_new_context_with_model: graph nodes  = 750
llama_new_context_with_model: graph splits = 2
{"tid":"4428","timestamp":1719324259,"level":"INFO","function":"init","line":715,"msg":"initializing slots","n_slots":1}
{"tid":"4428","timestamp":1719324259,"level":"INFO","function":"init","line":727,"msg":"new slot","id_slot":0,"n_ctx_slot":512}
{"tid":"4428","timestamp":1719324259,"level":"INFO","function":"main","line":3040,"msg":"model loaded"}
{"tid":"4428","timestamp":1719324259,"level":"INFO","function":"main","line":3065,"msg":"chat template","chat_example":"<|im_start|>system\nYou are a helpful assistant<|im_end|>\n<|im_start|>user\nHello<|im_end|>\n<|im_start|>assistant\nHi there<|im_end|>\n<|im_start|>user\nHow are you?<|im_end|>\n<|im_start|>assistant\n","built_in":true}
{"tid":"4428","timestamp":1719324259,"level":"INFO","function":"main","line":3793,"msg":"HTTP server listening","hostname":"127.0.0.1","port":"8080","n_threads_http":"21"}
{"tid":"4428","timestamp":1719324259,"level":"INFO","function":"update_slots","line":1812,"msg":"all slots are idle"}