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[GH-ISSUE #14595] Qwen GGML models do not load with 0.17.5 #9463

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opened 2026-04-12 22:23:22 -05:00 by GiteaMirror · 0 comments
GiteaMirror commented 2026-04-12 22:23:22 -05:00
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Originally created by @morti86 on GitHub (Mar 3, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/14595

What is the issue?

When I try to load the model, I get the following error. Same issue with 9b version.

Relevant log output

time=2026-03-03T21:04:58.094+01:00 level=INFO source=routes.go:1665 msg="server config" env="map[CUDA_VISIBLE_DEVICES: GGML_VK_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_CONTEXT_LENGTH:0 OLLAMA_DEBUG:INFO OLLAMA_EDITOR: OLLAMA_FLASH_ATTENTION:false OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://127.0.0.1:11434 OLLAMA_KEEP_ALIVE:5m0s OLLAMA_KV_CACHE_TYPE: OLLAMA_LLM_LIBRARY: OLLAMA_LOAD_TIMEOUT:5m0s OLLAMA_MAX_LOADED_MODELS:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:/home/morti/.ollama/models OLLAMA_MULTIUSER_CACHE:false OLLAMA_NEW_ENGINE:false OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NO_CLOUD:false OLLAMA_NUM_PARALLEL:1 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://* vscode-webview://* vscode-file://*] OLLAMA_REMOTES:[ollama.com] OLLAMA_SCHED_SPREAD:false OLLAMA_VULKAN:false ROCR_VISIBLE_DEVICES: http_proxy: https_proxy: no_proxy:]"
time=2026-03-03T21:04:58.094+01:00 level=INFO source=routes.go:1667 msg="Ollama cloud disabled: false"
time=2026-03-03T21:04:58.117+01:00 level=INFO source=images.go:477 msg="total blobs: 45"
time=2026-03-03T21:04:58.118+01:00 level=INFO source=images.go:484 msg="total unused blobs removed: 0"
time=2026-03-03T21:04:58.119+01:00 level=INFO source=routes.go:1720 msg="Listening on 127.0.0.1:11434 (version 0.17.5)"
time=2026-03-03T21:04:58.119+01:00 level=INFO source=runner.go:67 msg="discovering available GPUs..."
time=2026-03-03T21:04:58.120+01:00 level=INFO source=server.go:430 msg="starting runner" cmd="/usr/bin/ollama runner --ollama-engine --port 42571"
time=2026-03-03T21:04:58.176+01:00 level=INFO source=server.go:430 msg="starting runner" cmd="/usr/bin/ollama runner --ollama-engine --port 45443"
time=2026-03-03T21:04:59.531+01:00 level=INFO source=types.go:42 msg="inference compute" id=GPU-735b60ae6f451386 filter_id="" library=ROCm compute=gfx1100 name=ROCm0 description="AMD Radeon RX 7900 XT" libdirs=ollama driver=70226.4 pci_id=0000:2b:00.0 type=discrete total="20.0 GiB" available="17.4 GiB"
time=2026-03-03T21:04:59.531+01:00 level=INFO source=routes.go:1770 msg="vram-based default context" total_vram="20.0 GiB" default_num_ctx=4096
time=2026-03-03T21:05:03.514+01:00 level=INFO source=server.go:430 msg="starting runner" cmd="/usr/bin/ollama runner --ollama-engine --port 36695"
llama_model_loader: loaded meta data with 49 key-value pairs and 851 tensors from /home/morti/.ollama/models/blobs/sha256-84b5f7f112156d63836a01a69dc3f11a6ba63b10a23b8ca7a7efaf52d5a2d806 (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              = qwen35
llama_model_loader: - kv   1:                               general.type str              = model
llama_model_loader: - kv   2:                     general.sampling.top_k i32              = 20
llama_model_loader: - kv   3:                     general.sampling.top_p f32              = 0.950000
llama_model_loader: - kv   4:                      general.sampling.temp f32              = 0.600000
llama_model_loader: - kv   5:                               general.name str              = Qwen3.5-27B
llama_model_loader: - kv   6:                           general.basename str              = Qwen3.5-27B
llama_model_loader: - kv   7:                       general.quantized_by str              = Unsloth
llama_model_loader: - kv   8:                         general.size_label str              = 27B
llama_model_loader: - kv   9:                            general.license str              = apache-2.0
llama_model_loader: - kv  10:                       general.license.link str              = https://huggingface.co/Qwen/Qwen3.5-2...
llama_model_loader: - kv  11:                           general.repo_url str              = https://huggingface.co/unsloth
llama_model_loader: - kv  12:                   general.base_model.count u32              = 1
llama_model_loader: - kv  13:                  general.base_model.0.name str              = Qwen3.5 27B
llama_model_loader: - kv  14:          general.base_model.0.organization str              = Qwen
llama_model_loader: - kv  15:              general.base_model.0.repo_url str              = https://huggingface.co/Qwen/Qwen3.5-27B
llama_model_loader: - kv  16:                               general.tags arr[str,3]       = ["qwen3_5_moe", "unsloth", "image-tex...
llama_model_loader: - kv  17:                         qwen35.block_count u32              = 64
llama_model_loader: - kv  18:                      qwen35.context_length u32              = 262144
llama_model_loader: - kv  19:                    qwen35.embedding_length u32              = 5120
llama_model_loader: - kv  20:                 qwen35.feed_forward_length u32              = 17408
llama_model_loader: - kv  21:                qwen35.attention.head_count u32              = 24
llama_model_loader: - kv  22:             qwen35.attention.head_count_kv u32              = 4
llama_model_loader: - kv  23:             qwen35.rope.dimension_sections arr[i32,4]       = [11, 11, 10, 0]
llama_model_loader: - kv  24:                      qwen35.rope.freq_base f32              = 10000000.000000
llama_model_loader: - kv  25:    qwen35.attention.layer_norm_rms_epsilon f32              = 0.000001
llama_model_loader: - kv  26:                qwen35.attention.key_length u32              = 256
llama_model_loader: - kv  27:              qwen35.attention.value_length u32              = 256
llama_model_loader: - kv  28:                     qwen35.ssm.conv_kernel u32              = 4
llama_model_loader: - kv  29:                      qwen35.ssm.state_size u32              = 128
llama_model_loader: - kv  30:                     qwen35.ssm.group_count u32              = 16
llama_model_loader: - kv  31:                  qwen35.ssm.time_step_rank u32              = 48
llama_model_loader: - kv  32:                      qwen35.ssm.inner_size u32              = 6144
llama_model_loader: - kv  33:             qwen35.full_attention_interval u32              = 4
llama_model_loader: - kv  34:                qwen35.rope.dimension_count u32              = 64
llama_model_loader: - kv  35:                       tokenizer.ggml.model str              = gpt2
llama_model_loader: - kv  36:                         tokenizer.ggml.pre str              = qwen35
llama_model_loader: - kv  37:                      tokenizer.ggml.tokens arr[str,248320]  = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv  38:                  tokenizer.ggml.token_type arr[i32,248320]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv  39:                      tokenizer.ggml.merges arr[str,247587]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv  40:                tokenizer.ggml.eos_token_id u32              = 248046
llama_model_loader: - kv  41:            tokenizer.ggml.padding_token_id u32              = 248055
llama_model_loader: - kv  42:                    tokenizer.chat_template str              = {%- set image_count = namespace(value...
llama_model_loader: - kv  43:               general.quantization_version u32              = 2
llama_model_loader: - kv  44:                          general.file_type u32              = 15
llama_model_loader: - kv  45:                      quantize.imatrix.file str              = Qwen3.5-27B-GGUF/imatrix_unsloth.gguf
llama_model_loader: - kv  46:                   quantize.imatrix.dataset str              = unsloth_calibration_Qwen3.5-27B.txt
llama_model_loader: - kv  47:             quantize.imatrix.entries_count u32              = 496
llama_model_loader: - kv  48:              quantize.imatrix.chunks_count u32              = 80
llama_model_loader: - type  f32:  353 tensors
llama_model_loader: - type q8_0:   96 tensors
llama_model_loader: - type q4_K:  263 tensors
llama_model_loader: - type q5_K:   96 tensors
llama_model_loader: - type q6_K:   43 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type   = Q4_K - Medium
print_info: file size   = 15.58 GiB (4.98 BPW) 
llama_model_load: error loading model: error loading model architecture: unknown model architecture: 'qwen35'
llama_model_load_from_file_impl: failed to load model

OS

Linux

GPU

AMD

CPU

AMD

Ollama version

0.17.5

Originally created by @morti86 on GitHub (Mar 3, 2026). Original GitHub issue: https://github.com/ollama/ollama/issues/14595 ### What is the issue? When I try to load the model, I get the following error. Same issue with 9b version. ### Relevant log output ```shell time=2026-03-03T21:04:58.094+01:00 level=INFO source=routes.go:1665 msg="server config" env="map[CUDA_VISIBLE_DEVICES: GGML_VK_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_CONTEXT_LENGTH:0 OLLAMA_DEBUG:INFO OLLAMA_EDITOR: OLLAMA_FLASH_ATTENTION:false OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://127.0.0.1:11434 OLLAMA_KEEP_ALIVE:5m0s OLLAMA_KV_CACHE_TYPE: OLLAMA_LLM_LIBRARY: OLLAMA_LOAD_TIMEOUT:5m0s OLLAMA_MAX_LOADED_MODELS:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:/home/morti/.ollama/models OLLAMA_MULTIUSER_CACHE:false OLLAMA_NEW_ENGINE:false OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NO_CLOUD:false OLLAMA_NUM_PARALLEL:1 OLLAMA_ORIGINS:[http://localhost https://localhost http://localhost:* https://localhost:* http://127.0.0.1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://* vscode-webview://* vscode-file://*] OLLAMA_REMOTES:[ollama.com] OLLAMA_SCHED_SPREAD:false OLLAMA_VULKAN:false ROCR_VISIBLE_DEVICES: http_proxy: https_proxy: no_proxy:]" time=2026-03-03T21:04:58.094+01:00 level=INFO source=routes.go:1667 msg="Ollama cloud disabled: false" time=2026-03-03T21:04:58.117+01:00 level=INFO source=images.go:477 msg="total blobs: 45" time=2026-03-03T21:04:58.118+01:00 level=INFO source=images.go:484 msg="total unused blobs removed: 0" time=2026-03-03T21:04:58.119+01:00 level=INFO source=routes.go:1720 msg="Listening on 127.0.0.1:11434 (version 0.17.5)" time=2026-03-03T21:04:58.119+01:00 level=INFO source=runner.go:67 msg="discovering available GPUs..." time=2026-03-03T21:04:58.120+01:00 level=INFO source=server.go:430 msg="starting runner" cmd="/usr/bin/ollama runner --ollama-engine --port 42571" time=2026-03-03T21:04:58.176+01:00 level=INFO source=server.go:430 msg="starting runner" cmd="/usr/bin/ollama runner --ollama-engine --port 45443" time=2026-03-03T21:04:59.531+01:00 level=INFO source=types.go:42 msg="inference compute" id=GPU-735b60ae6f451386 filter_id="" library=ROCm compute=gfx1100 name=ROCm0 description="AMD Radeon RX 7900 XT" libdirs=ollama driver=70226.4 pci_id=0000:2b:00.0 type=discrete total="20.0 GiB" available="17.4 GiB" time=2026-03-03T21:04:59.531+01:00 level=INFO source=routes.go:1770 msg="vram-based default context" total_vram="20.0 GiB" default_num_ctx=4096 time=2026-03-03T21:05:03.514+01:00 level=INFO source=server.go:430 msg="starting runner" cmd="/usr/bin/ollama runner --ollama-engine --port 36695" llama_model_loader: loaded meta data with 49 key-value pairs and 851 tensors from /home/morti/.ollama/models/blobs/sha256-84b5f7f112156d63836a01a69dc3f11a6ba63b10a23b8ca7a7efaf52d5a2d806 (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 = qwen35 llama_model_loader: - kv 1: general.type str = model llama_model_loader: - kv 2: general.sampling.top_k i32 = 20 llama_model_loader: - kv 3: general.sampling.top_p f32 = 0.950000 llama_model_loader: - kv 4: general.sampling.temp f32 = 0.600000 llama_model_loader: - kv 5: general.name str = Qwen3.5-27B llama_model_loader: - kv 6: general.basename str = Qwen3.5-27B llama_model_loader: - kv 7: general.quantized_by str = Unsloth llama_model_loader: - kv 8: general.size_label str = 27B llama_model_loader: - kv 9: general.license str = apache-2.0 llama_model_loader: - kv 10: general.license.link str = https://huggingface.co/Qwen/Qwen3.5-2... llama_model_loader: - kv 11: general.repo_url str = https://huggingface.co/unsloth llama_model_loader: - kv 12: general.base_model.count u32 = 1 llama_model_loader: - kv 13: general.base_model.0.name str = Qwen3.5 27B llama_model_loader: - kv 14: general.base_model.0.organization str = Qwen llama_model_loader: - kv 15: general.base_model.0.repo_url str = https://huggingface.co/Qwen/Qwen3.5-27B llama_model_loader: - kv 16: general.tags arr[str,3] = ["qwen3_5_moe", "unsloth", "image-tex... llama_model_loader: - kv 17: qwen35.block_count u32 = 64 llama_model_loader: - kv 18: qwen35.context_length u32 = 262144 llama_model_loader: - kv 19: qwen35.embedding_length u32 = 5120 llama_model_loader: - kv 20: qwen35.feed_forward_length u32 = 17408 llama_model_loader: - kv 21: qwen35.attention.head_count u32 = 24 llama_model_loader: - kv 22: qwen35.attention.head_count_kv u32 = 4 llama_model_loader: - kv 23: qwen35.rope.dimension_sections arr[i32,4] = [11, 11, 10, 0] llama_model_loader: - kv 24: qwen35.rope.freq_base f32 = 10000000.000000 llama_model_loader: - kv 25: qwen35.attention.layer_norm_rms_epsilon f32 = 0.000001 llama_model_loader: - kv 26: qwen35.attention.key_length u32 = 256 llama_model_loader: - kv 27: qwen35.attention.value_length u32 = 256 llama_model_loader: - kv 28: qwen35.ssm.conv_kernel u32 = 4 llama_model_loader: - kv 29: qwen35.ssm.state_size u32 = 128 llama_model_loader: - kv 30: qwen35.ssm.group_count u32 = 16 llama_model_loader: - kv 31: qwen35.ssm.time_step_rank u32 = 48 llama_model_loader: - kv 32: qwen35.ssm.inner_size u32 = 6144 llama_model_loader: - kv 33: qwen35.full_attention_interval u32 = 4 llama_model_loader: - kv 34: qwen35.rope.dimension_count u32 = 64 llama_model_loader: - kv 35: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 36: tokenizer.ggml.pre str = qwen35 llama_model_loader: - kv 37: tokenizer.ggml.tokens arr[str,248320] = ["!", "\"", "#", "$", "%", "&", "'", ... llama_model_loader: - kv 38: tokenizer.ggml.token_type arr[i32,248320] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 39: tokenizer.ggml.merges arr[str,247587] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",... llama_model_loader: - kv 40: tokenizer.ggml.eos_token_id u32 = 248046 llama_model_loader: - kv 41: tokenizer.ggml.padding_token_id u32 = 248055 llama_model_loader: - kv 42: tokenizer.chat_template str = {%- set image_count = namespace(value... llama_model_loader: - kv 43: general.quantization_version u32 = 2 llama_model_loader: - kv 44: general.file_type u32 = 15 llama_model_loader: - kv 45: quantize.imatrix.file str = Qwen3.5-27B-GGUF/imatrix_unsloth.gguf llama_model_loader: - kv 46: quantize.imatrix.dataset str = unsloth_calibration_Qwen3.5-27B.txt llama_model_loader: - kv 47: quantize.imatrix.entries_count u32 = 496 llama_model_loader: - kv 48: quantize.imatrix.chunks_count u32 = 80 llama_model_loader: - type f32: 353 tensors llama_model_loader: - type q8_0: 96 tensors llama_model_loader: - type q4_K: 263 tensors llama_model_loader: - type q5_K: 96 tensors llama_model_loader: - type q6_K: 43 tensors print_info: file format = GGUF V3 (latest) print_info: file type = Q4_K - Medium print_info: file size = 15.58 GiB (4.98 BPW) llama_model_load: error loading model: error loading model architecture: unknown model architecture: 'qwen35' llama_model_load_from_file_impl: failed to load model ``` ### OS Linux ### GPU AMD ### CPU AMD ### Ollama version 0.17.5
GiteaMirror added the bug label 2026-04-12 22:23:22 -05:00
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Reference: github-starred/ollama#9463
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