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Description
What happened?
I tried loading https://huggingface.co/bullerwins/DeepSeek-R1T-Chimera-GGUF/tree/main/DeepSeek-R1T-Chimera-Q4_K_M and get this error (the same model loads fine with llama.cpp):
llama_model_load: error loading model: check_tensor_dims: tensor 'blk.0.attn_q_b.weight' has wrong shape; expected 1536, 73728, got 1536, 24576, 1, 1
Original model: https://huggingface.co/tngtech/DeepSeek-R1T-Chimera
It is a merge of DeepSeek-R1 and DeepSeek-V3 (0324). It is quite well made too, bringing together good qualities of both models, not sure though why it fails in ik_llama.cpp. At first I tried to run repacked model with llama-quantize, but then I also tried to run the original quant, I also tried with or without -rtr and CPU-only without any cache quantization and without flash attention (just specifying ctx-size and model to load), with the same outcome unfortunately.
Name and Version
version: 3667 (e3fec17)
What operating system are you seeing the problem on?
No response
Relevant log output
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = deepseek2
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = DeepSeek R1T Chimera Bf16
llama_model_loader: - kv 3: general.size_label str = 256x20B
llama_model_loader: - kv 4: general.license str = mit
llama_model_loader: - kv 5: general.base_model.count u32 = 2
llama_model_loader: - kv 6: general.base_model.0.name str = DeepSeek V3 0324
llama_model_loader: - kv 7: general.base_model.0.version str = V3-0324
llama_model_loader: - kv 8: general.base_model.0.organization str = Deepseek Ai
llama_model_loader: - kv 9: general.base_model.0.repo_url str = https://huggingface.co/deepseek-ai/De...
llama_model_loader: - kv 10: general.base_model.1.name str = DeepSeek R1
llama_model_loader: - kv 11: general.base_model.1.organization str = Deepseek Ai
llama_model_loader: - kv 12: general.base_model.1.repo_url str = https://huggingface.co/deepseek-ai/De...
llama_model_loader: - kv 13: general.tags arr[str,1] = ["text-generation"]
llama_model_loader: - kv 14: deepseek2.block_count u32 = 61
llama_model_loader: - kv 15: deepseek2.context_length u32 = 163840
llama_model_loader: - kv 16: deepseek2.embedding_length u32 = 7168
llama_model_loader: - kv 17: deepseek2.feed_forward_length u32 = 18432
llama_model_loader: - kv 18: deepseek2.attention.head_count u32 = 128
llama_model_loader: - kv 19: deepseek2.attention.head_count_kv u32 = 1
llama_model_loader: - kv 20: deepseek2.rope.freq_base f32 = 10000.000000
llama_model_loader: - kv 21: deepseek2.attention.layer_norm_rms_epsilon f32 = 0.000001
llama_model_loader: - kv 22: deepseek2.expert_used_count u32 = 8
llama_model_loader: - kv 23: deepseek2.leading_dense_block_count u32 = 3
llama_model_loader: - kv 24: deepseek2.vocab_size u32 = 129280
llama_model_loader: - kv 25: deepseek2.attention.q_lora_rank u32 = 1536
llama_model_loader: - kv 26: deepseek2.attention.kv_lora_rank u32 = 512
llama_model_loader: - kv 27: deepseek2.attention.key_length u32 = 576
llama_model_loader: - kv 28: deepseek2.attention.value_length u32 = 512
llama_model_loader: - kv 29: deepseek2.attention.key_length_mla u32 = 192
llama_model_loader: - kv 30: deepseek2.attention.value_length_mla u32 = 128
llama_model_loader: - kv 31: deepseek2.expert_feed_forward_length u32 = 2048
llama_model_loader: - kv 32: deepseek2.expert_count u32 = 256
llama_model_loader: - kv 33: deepseek2.expert_shared_count u32 = 1
llama_model_loader: - kv 34: deepseek2.expert_weights_scale f32 = 2.500000
llama_model_loader: - kv 35: deepseek2.expert_weights_norm bool = true
llama_model_loader: - kv 36: deepseek2.expert_gating_func u32 = 2
llama_model_loader: - kv 37: deepseek2.rope.dimension_count u32 = 64
llama_model_loader: - kv 38: deepseek2.rope.scaling.type str = yarn
llama_model_loader: - kv 39: deepseek2.rope.scaling.factor f32 = 40.000000
llama_model_loader: - kv 40: deepseek2.rope.scaling.original_context_length u32 = 4096
llama_model_loader: - kv 41: deepseek2.rope.scaling.yarn_log_multiplier f32 = 0.100000
llama_model_loader: - kv 42: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 43: tokenizer.ggml.pre str = deepseek-v3
llama_model_loader: - kv 44: tokenizer.ggml.tokens arr[str,129280] = ["<|begin▁of▁sentence|>", "<�...
llama_model_loader: - kv 45: tokenizer.ggml.token_type arr[i32,129280] = [3, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 46: tokenizer.ggml.merges arr[str,127741] = ["Ġ t", "Ġ a", "i n", "Ġ Ġ", "h e...
llama_model_loader: - kv 47: tokenizer.ggml.bos_token_id u32 = 0
llama_model_loader: - kv 48: tokenizer.ggml.eos_token_id u32 = 1
llama_model_loader: - kv 49: tokenizer.ggml.padding_token_id u32 = 1
llama_model_loader: - kv 50: tokenizer.ggml.add_bos_token bool = true
llama_model_loader: - kv 51: tokenizer.ggml.add_eos_token bool = false
llama_model_loader: - kv 52: tokenizer.chat_template str = {% if not add_generation_prompt is de...
llama_model_loader: - kv 53: general.quantization_version u32 = 2
llama_model_loader: - kv 54: general.file_type u32 = 214
llama_model_loader: - type f32: 361 tensors
llama_model_loader: - type q5_0: 61 tensors
llama_model_loader: - type q4_K: 467 tensors
llama_model_loader: - type q6_K: 31 tensors
llama_model_loader: - type q4_k_r4: 139 tensors
llama_model_loader: - type q6_k_r4: 27 tensors
llm_load_vocab: special tokens cache size = 818
llm_load_vocab: token to piece cache size = 0.8223 MB
llm_load_print_meta: format = GGUF V3 (latest)
llm_load_print_meta: arch = deepseek2
llm_load_print_meta: vocab type = BPE
llm_load_print_meta: n_vocab = 129280
llm_load_print_meta: n_merges = 127741
llm_load_print_meta: vocab_only = 0
llm_load_print_meta: n_ctx_train = 163840
llm_load_print_meta: n_embd = 7168
llm_load_print_meta: n_layer = 61
llm_load_print_meta: n_head = 128
llm_load_print_meta: n_head_kv = 1
llm_load_print_meta: n_rot = 64
llm_load_print_meta: n_swa = 0
llm_load_print_meta: n_swa_pattern = 1
llm_load_print_meta: n_embd_head_k = 576
llm_load_print_meta: n_embd_head_v = 512
llm_load_print_meta: n_gqa = 128
llm_load_print_meta: n_embd_k_gqa = 576
llm_load_print_meta: n_embd_v_gqa = 512
llm_load_print_meta: f_norm_eps = 0.0e+00
llm_load_print_meta: f_norm_rms_eps = 1.0e-06
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 = 18432
llm_load_print_meta: n_expert = 256
llm_load_print_meta: n_expert_used = 8
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 = yarn
llm_load_print_meta: freq_base_train = 10000.0
llm_load_print_meta: freq_scale_train = 0.025
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 = 671B
llm_load_print_meta: model ftype = Q4_K_R4
llm_load_print_meta: model params = 671.026 B
llm_load_print_meta: model size = 376.710 GiB (4.822 BPW)
llm_load_print_meta: repeating layers = 375.516 GiB (4.820 BPW, 669.173 B parameters)
llm_load_print_meta: general.name = DeepSeek R1T Chimera Bf16
llm_load_print_meta: BOS token = 0 '<|begin▁of▁sentence|>'
llm_load_print_meta: EOS token = 1 '<|end▁of▁sentence|>'
llm_load_print_meta: PAD token = 1 '<|end▁of▁sentence|>'
llm_load_print_meta: LF token = 131 'Ä'
llm_load_print_meta: max token length = 256
llm_load_print_meta: n_layer_dense_lead = 3
llm_load_print_meta: n_lora_q = 1536
llm_load_print_meta: n_lora_kv = 512
llm_load_print_meta: n_ff_exp = 2048
llm_load_print_meta: n_expert_shared = 1
llm_load_print_meta: expert_weights_scale = 2.5
llm_load_print_meta: expert_weights_norm = 1
llm_load_print_meta: expert_gating_func = sigmoid
llm_load_print_meta: rope_yarn_log_mul = 0.1000
llm_load_tensors: ggml ctx size = 2.23 MiB
llama_model_load: error loading model: check_tensor_dims: tensor 'blk.0.attn_q_b.weight' has wrong shape; expected 1536, 73728, got 1536, 24576, 1, 1
llama_load_model_from_file: failed to load model
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