main : failed to eval

[ylsdamxssjxxdd]

b2267 main
When I use main.exe ,I constantly input information into the model, he is broken!
but server.exe not.

here is the message:

'''bash
D:\soul>main.exe -m qwen-1.8b-q4_0.gguf -ngl 99 -ins
Log start
main: build = 2267 (c393733)
main: built with MSVC 19.37.32822.0 for x64
main: seed = 1708938405
ggml_init_cublas: GGML_CUDA_FORCE_MMQ: no
ggml_init_cublas: CUDA_USE_TENSOR_CORES: yes
ggml_init_cublas: found 1 CUDA devices:
Device 0: NVIDIA GeForce RTX 3060 Laptop GPU, compute capability 8.6, VMM: yes
llama_model_loader: loaded meta data with 19 key-value pairs and 195 tensors from qwen-1.8b-q4_0.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 = qwen
llama_model_loader: - kv 1: general.name str = Qwen
llama_model_loader: - kv 2: qwen.context_length u32 = 8192
llama_model_loader: - kv 3: qwen.block_count u32 = 24
llama_model_loader: - kv 4: qwen.embedding_length u32 = 2048
llama_model_loader: - kv 5: qwen.feed_forward_length u32 = 11008
llama_model_loader: - kv 6: qwen.rope.freq_base f32 = 10000.000000
llama_model_loader: - kv 7: qwen.rope.dimension_count u32 = 128
llama_model_loader: - kv 8: qwen.attention.head_count u32 = 16
llama_model_loader: - kv 9: qwen.attention.layer_norm_rms_epsilon f32 = 0.000001
llama_model_loader: - kv 10: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 11: tokenizer.ggml.tokens arr[str,151936] = ["!", """, "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 12: tokenizer.ggml.token_type arr[i32,151936] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 13: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv 14: tokenizer.ggml.bos_token_id u32 = 151643
llama_model_loader: - kv 15: tokenizer.ggml.eos_token_id u32 = 151643
llama_model_loader: - kv 16: tokenizer.ggml.unknown_token_id u32 = 151643
llama_model_loader: - kv 17: general.quantization_version u32 = 2
llama_model_loader: - kv 18: general.file_type u32 = 2
llama_model_loader: - type f32: 73 tensors
llama_model_loader: - type q4_0: 121 tensors
llama_model_loader: - type q6_K: 1 tensors
llm_load_vocab: special tokens definition check successful ( 293/151936 ).
llm_load_print_meta: format = GGUF V3 (latest)
llm_load_print_meta: arch = qwen
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 = 8192
llm_load_print_meta: n_embd = 2048
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 = 128
llm_load_print_meta: n_embd_head_k = 128
llm_load_print_meta: n_embd_head_v = 128
llm_load_print_meta: n_gqa = 1
llm_load_print_meta: n_embd_k_gqa = 2048
llm_load_print_meta: n_embd_v_gqa = 2048
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: n_ff = 11008
llm_load_print_meta: n_expert = 0
llm_load_print_meta: n_expert_used = 0
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 = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx = 8192
llm_load_print_meta: rope_finetuned = unknown
llm_load_print_meta: model type = ?B
llm_load_print_meta: model ftype = Q4_0
llm_load_print_meta: model params = 1.84 B
llm_load_print_meta: model size = 1.04 GiB (4.85 BPW)
llm_load_print_meta: general.name = Qwen
llm_load_print_meta: BOS token = 151643 '[PAD151643]'
llm_load_print_meta: EOS token = 151643 '[PAD151643]'
llm_load_print_meta: UNK token = 151643 '[PAD151643]'
llm_load_print_meta: LF token = 30 '?'
llm_load_tensors: ggml ctx size = 0.15 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: CPU buffer size = 166.92 MiB
llm_load_tensors: CUDA0 buffer size = 895.75 MiB
................................................................
llama_new_context_with_model: n_ctx = 512
llama_new_context_with_model: freq_base = 10000.0
llama_new_context_with_model: freq_scale = 1
llama_kv_cache_init: CUDA0 KV buffer size = 96.00 MiB
llama_new_context_with_model: KV self size = 96.00 MiB, K (f16): 48.00 MiB, V (f16): 48.00 MiB
llama_new_context_with_model: CUDA_Host input buffer size = 6.01 MiB
llama_new_context_with_model: CUDA0 compute buffer size = 304.75 MiB
llama_new_context_with_model: CUDA_Host compute buffer size = 4.00 MiB
llama_new_context_with_model: graph splits (measure): 2

system_info: n_threads = 8 / 16 | AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 0 | VSX = 0 | MATMUL_INT8 = 0 |
main: interactive mode on.
Reverse prompt: '### Instruction:

'
sampling:
repeat_last_n = 64, repeat_penalty = 1.100, frequency_penalty = 0.000, presence_penalty = 0.000
top_k = 40, tfs_z = 1.000, top_p = 0.950, min_p = 0.050, typical_p = 1.000, temp = 0.800
mirostat = 0, mirostat_lr = 0.100, mirostat_ent = 5.000
sampling order:
CFG -> Penalties -> top_k -> tfs_z -> typical_p -> top_p -> min_p -> temperature
generate: n_ctx = 512, n_batch = 512, n_predict = -1, n_keep = 1

== Running in interactive mode. ==

• Press Ctrl+C to interject at any time.
• Press Return to return control to LLaMa.
• To return control without starting a new line, end your input with '/'.
• If you want to submit another line, end your input with ''.

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N times then
main : failed to eval

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