Problem

#1
by NeKonnnn - opened

llama_model_loader: loaded meta data with 45 key-value pairs and 579 tensors from models\Qwen3-VL-30B-A3B-Instruct-Q8_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 = qwen3vlmoe
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = Qwen3-Vl-30B-A3B-Instruct
llama_model_loader: - kv 3: general.finetune str = Instruct
llama_model_loader: - kv 4: general.basename str = Qwen3-Vl-30B-A3B-Instruct
llama_model_loader: - kv 5: general.quantized_by str = Unsloth
llama_model_loader: - kv 6: general.size_label str = 30B-A3B
llama_model_loader: - kv 7: general.license str = apache-2.0
llama_model_loader: - kv 8: general.repo_url str = https://huggingface.co/unsloth
llama_model_loader: - kv 9: general.base_model.count u32 = 1
llama_model_loader: - kv 10: general.base_model.0.name str = Qwen3 VL 30B A3B Instruct
llama_model_loader: - kv 11: general.base_model.0.organization str = Qwen
llama_model_loader: - kv 12: general.base_model.0.repo_url str = https://huggingface.co/Qwen/Qwen3-VL-...
llama_model_loader: - kv 13: general.tags arr[str,2] = ["unsloth", "image-text-to-text"]
llama_model_loader: - kv 14: qwen3vlmoe.block_count u32 = 48
llama_model_loader: - kv 15: qwen3vlmoe.context_length u32 = 262144
llama_model_loader: - kv 16: qwen3vlmoe.embedding_length u32 = 2048
llama_model_loader: - kv 17: qwen3vlmoe.feed_forward_length u32 = 6144
llama_model_loader: - kv 18: qwen3vlmoe.attention.head_count u32 = 32
llama_model_loader: - kv 19: qwen3vlmoe.attention.head_count_kv u32 = 4
llama_model_loader: - kv 20: qwen3vlmoe.rope.freq_base f32 = 5000000.000000
llama_model_loader: - kv 21: qwen3vlmoe.attention.layer_norm_rms_epsilon f32 = 0.000001
llama_model_loader: - kv 22: qwen3vlmoe.expert_used_count u32 = 8
llama_model_loader: - kv 23: qwen3vlmoe.attention.key_length u32 = 128
llama_model_loader: - kv 24: qwen3vlmoe.attention.value_length u32 = 128
llama_model_loader: - kv 25: qwen3vlmoe.expert_count u32 = 128
llama_model_loader: - kv 26: qwen3vlmoe.expert_feed_forward_length u32 = 768
llama_model_loader: - kv 27: qwen3vlmoe.rope.dimension_sections arr[i32,4] = [24, 20, 20, 0]
llama_model_loader: - kv 28: qwen3vlmoe.n_deepstack_layers u32 = 3
llama_model_loader: - kv 29: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 30: tokenizer.ggml.pre str = qwen2
llama_model_loader: - kv 31: tokenizer.ggml.tokens arr[str,151936] = ["!", """, "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 32: tokenizer.ggml.token_type arr[i32,151936] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 33: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv 34: tokenizer.ggml.eos_token_id u32 = 151645
llama_model_loader: - kv 35: tokenizer.ggml.padding_token_id u32 = 151654
llama_model_loader: - kv 36: tokenizer.ggml.bos_token_id u32 = 151643
llama_model_loader: - kv 37: tokenizer.ggml.add_bos_token bool = false
llama_model_loader: - kv 38: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>...
llama_model_loader: - kv 39: general.quantization_version u32 = 2
llama_model_loader: - kv 40: general.file_type u32 = 7
llama_model_loader: - kv 41: quantize.imatrix.file str = Qwen3-VL-30B-A3B-Instruct-GGUF/imatri...
llama_model_loader: - kv 42: quantize.imatrix.dataset str = unsloth_calibration_Qwen3-VL-30B-A3B-...
llama_model_loader: - kv 43: quantize.imatrix.entries_count u32 = 384
llama_model_loader: - kv 44: quantize.imatrix.chunks_count u32 = 694
llama_model_loader: - type f32: 241 tensors
llama_model_loader: - type q8_0: 338 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q8_0
print_info: file size = 30.25 GiB (8.51 BPW)
llama_model_load: error loading model: error loading model architecture: unknown model architecture: 'qwen3vlmoe'
llama_model_load_from_file_impl: failed to load model
Failed to load model from file: models\Qwen3-VL-30B-A3B-Instruct-Q8_0.gguf
Failed to load model from file: models\Qwen3-VL-30B-A3B-Instruct-Q8_0.gguf
Failed to load model from file: models\Qwen3-VL-30B-A3B-Instruct-Q8_0.gguf
Exception ignored in: <function LlamaModel.__del__ at 0x0000022B30264400>

Help pls

This doesn't look like my upload, mine works fine on latest llama.cpp

Unfortunately, no sir(

I downloaded this model, Qwen_Qwen3-VL-30B-A3B-Instruct-Q6_K_L.gguf, to my local directory on PC, but I couldn't run it.

You're right. Unfortunately, in my previous message, I didn't send the logs for your quantized model, but I'm attaching the correct logs now.

llama_model_loader: loaded meta data with 39 key-value pairs and 579 tensors from models\Qwen_Qwen3-VL-30B-A3B-Instruct-Q6_K_L.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 = qwen3vlmoe
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = Qwen3 VL 30B A3B Instruct
llama_model_loader: - kv 3: general.finetune str = Instruct
llama_model_loader: - kv 4: general.basename str = Qwen3-VL
llama_model_loader: - kv 5: general.size_label str = 30B-A3B
llama_model_loader: - kv 6: general.license str = apache-2.0
llama_model_loader: - kv 7: general.tags arr[str,1] = ["image-text-to-text"]
llama_model_loader: - kv 8: qwen3vlmoe.block_count u32 = 48
llama_model_loader: - kv 9: qwen3vlmoe.context_length u32 = 262144
llama_model_loader: - kv 10: qwen3vlmoe.embedding_length u32 = 2048
llama_model_loader: - kv 11: qwen3vlmoe.feed_forward_length u32 = 6144
llama_model_loader: - kv 12: qwen3vlmoe.attention.head_count u32 = 32
llama_model_loader: - kv 13: qwen3vlmoe.attention.head_count_kv u32 = 4
llama_model_loader: - kv 14: qwen3vlmoe.rope.freq_base f32 = 5000000.000000
llama_model_loader: - kv 15: qwen3vlmoe.attention.layer_norm_rms_epsilon f32 = 0.000001
llama_model_loader: - kv 16: qwen3vlmoe.expert_used_count u32 = 8
llama_model_loader: - kv 17: qwen3vlmoe.attention.key_length u32 = 128
llama_model_loader: - kv 18: qwen3vlmoe.attention.value_length u32 = 128
llama_model_loader: - kv 19: qwen3vlmoe.expert_count u32 = 128
llama_model_loader: - kv 20: qwen3vlmoe.expert_feed_forward_length u32 = 768
llama_model_loader: - kv 21: qwen3vlmoe.rope.dimension_sections arr[i32,4] = [24, 20, 20, 0]
llama_model_loader: - kv 22: qwen3vlmoe.n_deepstack_layers u32 = 3
llama_model_loader: - kv 23: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 24: tokenizer.ggml.pre str = qwen2
llama_model_loader: - kv 25: tokenizer.ggml.tokens arr[str,151936] = ["!", """, "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 26: tokenizer.ggml.token_type arr[i32,151936] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 27: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv 28: tokenizer.ggml.eos_token_id u32 = 151645
llama_model_loader: - kv 29: tokenizer.ggml.padding_token_id u32 = 151643
llama_model_loader: - kv 30: tokenizer.ggml.bos_token_id u32 = 151643
llama_model_loader: - kv 31: tokenizer.ggml.add_bos_token bool = false
llama_model_loader: - kv 32: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>...
llama_model_loader: - kv 33: general.quantization_version u32 = 2
llama_model_loader: - kv 34: general.file_type u32 = 18
llama_model_loader: - kv 35: quantize.imatrix.file str = /models_out/Qwen3-VL-30B-A3B-Instruct...
llama_model_loader: - kv 36: quantize.imatrix.dataset str = /training_dir/calibration_datav5.txt
llama_model_loader: - kv 37: quantize.imatrix.entries_count u32 = 384
llama_model_loader: - kv 38: quantize.imatrix.chunks_count u32 = 818
llama_model_loader: - type f32: 241 tensors
llama_model_loader: - type q8_0: 50 tensors
llama_model_loader: - type q6_K: 288 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q6_K
print_info: file size = 23.52 GiB (6.62 BPW)
llama_model_load: error loading model: error loading model architecture: unknown model architecture: 'qwen3vlmoe'
llama_model_load_from_file_impl: failed to load model

Exception ignored in: <function LlamaModel.__del__ at 0x0000023BA2DE8400>

This looks like a llama-cpp-python error, not llama.cpp.

won't this model work with llama-cpp-python?

@NeKonnnn Why not using the original one?

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