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Qwen3.5-27B-GGUF

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llama.cpp version: 8219 (cf07c5b)

llama-cli --model Qwen3.5-27B-UD-Q8_K_XL.gguf --mmproj mmproj-F16.gguf --temp 1.0 --verbose
[...]
llama_model_load: error loading model: error loading model architecture: unknown model architecture: 'qwen35'

ggml_vulkan: Found 1 Vulkan devices:
ggml_vulkan: 0 = Intel(R) Iris(R) Xe Graphics (ADL GT2) (Intel open-source Mesa driver) | uma: 1 | fp16: 1 | bf16: 0 | warp size: 32 | shared memory: 49152 | int dot: 1 | matrix cores: none
build: 8219 (cf07c5b) with GNU 15.2.1 for Linux x86_64
srv load_model: loading model 'Qwen3.5-27B-UD-Q8_K_XL.gguf'
common_init_result: fitting params to device memory, for bugs during this step try to reproduce them with -fit off, or provide --verbose logs if the bug only occurs with -fit on
llama_params_fit_impl: getting device memory data for initial parameters:
llama_model_load_from_file_impl: using device Vulkan0 (Intel(R) Iris(R) Xe Graphics (ADL GT2)) (0000:00:02.0) - 43293 MiB free
llama_model_loader: loaded meta data with 49 key-value pairs and 851 tensors from Qwen3.5-27B-UD-Q8_K_XL.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 = 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 = 7
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 f16: 218 tensors
llama_model_loader: - type q8_0: 280 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q8_0
print_info: file size = 33.08 GiB (10.56 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
llama_params_fit: encountered an error while trying to fit params to free device memory: failed to load model
llama_params_fit: fitting params to free memory took 0.08 seconds
llama_model_load_from_file_impl: using device Vulkan0 (Intel(R) Iris(R) Xe Graphics (ADL GT2)) (0000:00:02.0) - 43293 MiB free
llama_model_loader: loaded meta data with 49 key-value pairs and 851 tensors from Qwen3.5-27B-UD-Q8_K_XL.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 = 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 = 7
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 f16: 218 tensors
llama_model_loader: - type q8_0: 280 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q8_0
print_info: file size = 33.08 GiB (10.56 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
common_init_from_params: failed to load model 'Qwen3.5-27B-UD-Q8_K_XL.gguf'
srv load_model: failed to load model, 'Qwen3.5-27B-UD-Q8_K_XL.gguf'