Bug: Vulkan backend not detecting multiple GPUs anymore #7997
Description
What happened?
I have two 7900xtx that have worked before together, latest llama.cpp no longer detect more than one. @0cc4m
Name and Version
.\llama-server.exe -m ..\gguf_models\Cat-Llama-3-70B-instruct-Q4_K_M.gguf -ngl 100
What operating system are you seeing the problem on?
Windows
Relevant log output
.\llama-server.exe -m ..\gguf_models\Cat-Llama-3-70B-instruct-Q4_K_M.gguf -ngl 100
INFO [ main] build info | tid="92616" timestamp=1718758739 build=3181 commit="37bef894"
INFO [ main] system info | tid="92616" timestamp=1718758739 n_threads=8 n_threads_batch=-1 total_threads=16 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 27 key-value pairs and 723 tensors from ..\gguf_models\Cat-Llama-3-70B-instruct-Q4_K_M.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 = llama
llama_model_loader: - kv 1: general.name str = Cat-Llama-3-70B-instruct
llama_model_loader: - kv 2: llama.block_count u32 = 80
llama_model_loader: - kv 3: llama.context_length u32 = 8192
llama_model_loader: - kv 4: llama.embedding_length u32 = 8192
llama_model_loader: - kv 5: llama.feed_forward_length u32 = 28672
llama_model_loader: - kv 6: llama.attention.head_count u32 = 64
llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 8
llama_model_loader: - kv 8: llama.rope.freq_base f32 = 500000.000000
llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 10: general.file_type u32 = 15
llama_model_loader: - kv 11: llama.vocab_size u32 = 128258
llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128
llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 14: tokenizer.ggml.pre str = llama-bpe
llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,128258] = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,128258] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 17: tokenizer.ggml.merges arr[str,280147] = ["─á ─á", "─á ─á─á─á", "─á─á ─á─á", "...
llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 128000
llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 128257
llama_model_loader: - kv 20: tokenizer.ggml.padding_token_id u32 = 128001
llama_model_loader: - kv 21: tokenizer.chat_template str = {% for message in messages %}{% if lo...
llama_model_loader: - kv 22: general.quantization_version u32 = 2
llama_model_loader: - kv 23: quantize.imatrix.file str = /models/Cat-Llama-3-70B-instruct-GGUF...
llama_model_loader: - kv 24: quantize.imatrix.dataset str = /training_data/groups_merged.txt
llama_model_loader: - kv 25: quantize.imatrix.entries_count i32 = 560
llama_model_loader: - kv 26: quantize.imatrix.chunks_count i32 = 88
llama_model_loader: - type f32: 161 tensors
llama_model_loader: - type q4_K: 441 tensors
llama_model_loader: - type q5_K: 40 tensors
llama_model_loader: - type q6_K: 81 tensors
llm_load_vocab: special tokens cache size = 258
llm_load_vocab: token to piece cache size = 0.8000 MB
llm_load_print_meta: format = GGUF V3 (latest)
llm_load_print_meta: arch = llama
llm_load_print_meta: vocab type = BPE
llm_load_print_meta: n_vocab = 128258
llm_load_print_meta: n_merges = 280147
llm_load_print_meta: n_ctx_train = 8192
llm_load_print_meta: n_embd = 8192
llm_load_print_meta: n_head = 64
llm_load_print_meta: n_head_kv = 8
llm_load_print_meta: n_layer = 80
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 = 8
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-05
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 = 28672
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 = 0
llm_load_print_meta: rope scaling = linear
llm_load_print_meta: freq_base_train = 500000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_ctx_orig_yarn = 8192
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 = 70B
llm_load_print_meta: model ftype = Q4_K - Medium
llm_load_print_meta: model params = 70.55 B
llm_load_print_meta: model size = 39.59 GiB (4.82 BPW)
llm_load_print_meta: general.name = Cat-Llama-3-70B-instruct
llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>'
llm_load_print_meta: EOS token = 128257 '<|im_end|>'
llm_load_print_meta: PAD token = 128001 '<|end_of_text|>'
llm_load_print_meta: LF token = 128 'Ä'
llm_load_print_meta: EOT token = 128257 '<|im_end|>'
ggml_vulkan: Found 1 Vulkan devices:
Vulkan0: AMD Radeon RX 7900 XTX (AMD proprietary driver) | uma: 0 | fp16: 1 | warp size: 64
llm_load_tensors: ggml ctx size = 0.74 MiB
ggml_vulkan: Device memory allocation of size 2123431936 failed.
ggml_vulkan: vk::Device::allocateMemory: ErrorOutOfDeviceMemory
llama_model_load: error loading model: unable to allocate backend buffer
llama_load_model_from_file: failed to load model
llama_init_from_gpt_params: error: failed to load model '..\gguf_models\Cat-Llama-3-70B-instruct-Q4_K_M.gguf'
ERR [ load_model] unable to load model | tid="92616" timestamp=1718758751 model="..\\gguf_models\\Cat-Llama-3-70B-instruct-Q4_K_M.gguf"