Kompute backend cant use GPU

[mi4code]

I tried to use the kompute backend but when i offload to GPU it says llama_default_buffer_type_offload: cannot use GPU 0, check 'vulkaninfo --summary' and the model never gets loaded.
When i use the same model in GPT4All (which from what i have understood uses same backend) it works fine with GPU.
Can anyone tell me whats wrong?

output of llama-cli:

C:\Workspace\llama.cpp-kompute>llama-cli -m ../llama.cpp/models/Phi-3-mini-4k-instruct.Q4_0.gguf -n 512 -ngl 33 --color -i --interactive-first --in-prefix "<|im_end|>\n<|im_start|>user\n" --in-suffix "<|im_end|>\n<|im_start|>assistant\n" --reverse-prompt "<|im_end|>" -p "<|im_start|>system\nYou are a helpful assistant<|im_end|>"
Log start
main: build = 3328 (cb4d86c4)
main: built with MSVC 19.29.30154.0 for x64
main: seed  = 1720440455
llama_model_loader: loaded meta data with 25 key-value pairs and 291 tensors from ../llama.cpp/models/Phi-3-mini-4k-instruct.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              = llama
llama_model_loader: - kv   1:                               general.name str              = phi3
llama_model_loader: - kv   2:                          llama.block_count u32              = 32
llama_model_loader: - kv   3:                       llama.context_length u32              = 4096
llama_model_loader: - kv   4:                     llama.embedding_length u32              = 3072
llama_model_loader: - kv   5:                  llama.feed_forward_length u32              = 8192
llama_model_loader: - kv   6:                 llama.attention.head_count u32              = 32
llama_model_loader: - kv   7:              llama.attention.head_count_kv u32              = 32
llama_model_loader: - kv   8:                       llama.rope.freq_base f32              = 10000.000000
llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32              = 0.000010
llama_model_loader: - kv  10:                          general.file_type u32              = 2
llama_model_loader: - kv  11:                           llama.vocab_size u32              = 32064
llama_model_loader: - kv  12:                 llama.rope.dimension_count u32              = 96
llama_model_loader: - kv  13:                       tokenizer.ggml.model str              = llama
llama_model_loader: - kv  14:                      tokenizer.ggml.tokens arr[str,32064]   = ["<unk>", "<s>", "</s>", "<0x00>", "<...
llama_model_loader: - kv  15:                      tokenizer.ggml.scores arr[f32,32064]   = [0.000000, 0.000000, 0.000000, 0.0000...
llama_model_loader: - kv  16:                  tokenizer.ggml.token_type arr[i32,32064]   = [2, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, ...
llama_model_loader: - kv  17:                tokenizer.ggml.bos_token_id u32              = 1
llama_model_loader: - kv  18:                tokenizer.ggml.eos_token_id u32              = 32007
llama_model_loader: - kv  19:            tokenizer.ggml.unknown_token_id u32              = 0
llama_model_loader: - kv  20:            tokenizer.ggml.padding_token_id u32              = 32000
llama_model_loader: - kv  21:               tokenizer.ggml.add_bos_token bool             = true
llama_model_loader: - kv  22:               tokenizer.ggml.add_eos_token bool             = false
llama_model_loader: - kv  23:                    tokenizer.chat_template str              = {{ bos_token }}{% for message in mess...
llama_model_loader: - kv  24:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:   65 tensors
llama_model_loader: - type q4_0:  225 tensors
llama_model_loader: - type q6_K:    1 tensors
llm_load_vocab: special tokens cache size = 323
llm_load_vocab: token to piece cache size = 0.1691 MB
llm_load_print_meta: format           = GGUF V3 (latest)
llm_load_print_meta: arch             = llama
llm_load_print_meta: vocab type       = SPM
llm_load_print_meta: n_vocab          = 32064
llm_load_print_meta: n_merges         = 0
llm_load_print_meta: vocab_only       = 0
llm_load_print_meta: n_ctx_train      = 4096
llm_load_print_meta: n_embd           = 3072
llm_load_print_meta: n_layer          = 32
llm_load_print_meta: n_head           = 32
llm_load_print_meta: n_head_kv        = 32
llm_load_print_meta: n_rot            = 96
llm_load_print_meta: n_swa            = 0
llm_load_print_meta: n_embd_head_k    = 96
llm_load_print_meta: n_embd_head_v    = 96
llm_load_print_meta: n_gqa            = 1
llm_load_print_meta: n_embd_k_gqa     = 3072
llm_load_print_meta: n_embd_v_gqa     = 3072
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             = 8192
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  = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_ctx_orig_yarn  = 4096
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       = 7B
llm_load_print_meta: model ftype      = Q4_0
llm_load_print_meta: model params     = 3.82 B
llm_load_print_meta: model size       = 2.03 GiB (4.55 BPW)
llm_load_print_meta: general.name     = phi3
llm_load_print_meta: BOS token        = 1 '<s>'
llm_load_print_meta: EOS token        = 32007 '<|end|>'
llm_load_print_meta: UNK token        = 0 '<unk>'
llm_load_print_meta: PAD token        = 32000 '<|endoftext|>'
llm_load_print_meta: LF token         = 13 '<0x0A>'
llm_load_print_meta: EOT token        = 32007 '<|end|>'
llm_load_print_meta: max token length = 48
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llama_default_buffer_type_offload: cannot use GPU 0, check `vulkaninfo --summary`
llm_load_tensors: ggml ctx size =    0.14 MiB
llm_load_tensors: offloading 32 repeating layers to GPU
llm_load_tensors: offloading non-repeating layers to GPU
llm_load_tensors: offloaded 33/33 layers to GPU
llm_load_tensors:        CPU buffer size =  2074.66 MiB
................................................................................................
llama_new_context_with_model: n_ctx      = 4096
llama_new_context_with_model: n_batch    = 2048
llama_new_context_with_model: n_ubatch   = 512
llama_new_context_with_model: flash_attn = 0
llama_new_context_with_model: freq_base  = 10000.0
llama_new_context_with_model: freq_scale = 1
llama_kv_cache_init:        CPU KV buffer size =  1536.00 MiB
llama_new_context_with_model: KV self size  = 1536.00 MiB, K (f16):  768.00 MiB, V (f16):  768.00 MiB
llama_new_context_with_model:        CPU  output buffer size =     0.12 MiB

C:\Workspace\llama.cpp-kompute>

output of vulkaninfo:

C:\Workspace\llama.cpp-kompute>vulkaninfo --summary
==========
VULKANINFO
==========

Vulkan Instance Version: 1.3.204


Instance Extensions: count = 11
-------------------------------
VK_EXT_debug_report                    : extension revision 10
VK_EXT_debug_utils                     : extension revision 2
VK_EXT_swapchain_colorspace            : extension revision 4
VK_KHR_device_group_creation           : extension revision 1
VK_KHR_external_fence_capabilities     : extension revision 1
VK_KHR_external_memory_capabilities    : extension revision 1
VK_KHR_external_semaphore_capabilities : extension revision 1
VK_KHR_get_physical_device_properties2 : extension revision 2
VK_KHR_get_surface_capabilities2       : extension revision 1
VK_KHR_surface                         : extension revision 25
VK_KHR_win32_surface                   : extension revision 6

Instance Layers: count = 3
--------------------------
VK_LAYER_AMD_switchable_graphics AMD switchable graphics layer 1.3.217  version 1
VK_LAYER_VALVE_steam_fossilize   Steam Pipeline Caching Layer  1.2.136  version 1
VK_LAYER_VALVE_steam_overlay     Steam Overlay Layer           1.2.136  version 1

Devices:
========
GPU0:
        apiVersion         = 4206809 (1.3.217)
        driverVersion      = 8388841 (0x8000e9)
        vendorID           = 0x1002
        deviceID           = 0x67df
        deviceType         = PHYSICAL_DEVICE_TYPE_DISCRETE_GPU
        deviceName         = Radeon RX 570 Series
        driverID           = DRIVER_ID_AMD_PROPRIETARY
        driverName         = AMD proprietary driver
        driverInfo         = 22.20.27.09
        conformanceVersion = 1.3.0.0
        deviceUUID         = 00000000-0600-0000-0000-000000000000
        driverUUID         = 414d442d-5749-4e2d-4452-560000000000

C:\Workspace\llama.cpp-kompute>