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main: build = 3906 (7eee341b) main: built with Apple clang version 15.0.0 (clang-1500.3.9.4) for arm64-apple-darwin23.6.0 main: quantizing 'salamandra-2b_bf16.gguf' to './salamandra-2b_Q3_K_S.gguf' as Q3_K_S llama_model_loader: loaded meta data with 29 key-value pairs and 219 tensors from salamandra-2b_bf16.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.type str = model llama_model_loader: - kv 2: general.size_label str = 2.3B llama_model_loader: - kv 3: general.license str = apache-2.0 llama_model_loader: - kv 4: general.tags arr[str,1] = ["text-generation"] llama_model_loader: - kv 5: general.languages arr[str,36] = ["bg", "ca", "code", "cs", "cy", "da"... llama_model_loader: - kv 6: llama.block_count u32 = 24 llama_model_loader: - kv 7: llama.context_length u32 = 8192 llama_model_loader: - kv 8: llama.embedding_length u32 = 2048 llama_model_loader: - kv 9: llama.feed_forward_length u32 = 5440 llama_model_loader: - kv 10: llama.attention.head_count u32 = 16 llama_model_loader: - kv 11: llama.attention.head_count_kv u32 = 16 llama_model_loader: - kv 12: llama.rope.freq_base f32 = 10000.000000 llama_model_loader: - kv 13: llama.attention.layer_norm_rms_epsilon f32 = 0.000010 llama_model_loader: - kv 14: general.file_type u32 = 32 llama_model_loader: - kv 15: llama.vocab_size u32 = 256000 llama_model_loader: - kv 16: llama.rope.dimension_count u32 = 128 llama_model_loader: - kv 17: tokenizer.ggml.add_space_prefix bool = true llama_model_loader: - kv 18: tokenizer.ggml.model str = llama llama_model_loader: - kv 19: tokenizer.ggml.pre str = default llama_model_loader: - kv 20: tokenizer.ggml.tokens arr[str,256000] = ["<unk>", "<s>", "</s>", "<pad>", "<|... llama_model_loader: - kv 21: tokenizer.ggml.scores arr[f32,256000] = [-1000.000000, -1000.000000, -1000.00... llama_model_loader: - kv 22: tokenizer.ggml.token_type arr[i32,256000] = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, ... llama_model_loader: - kv 23: tokenizer.ggml.bos_token_id u32 = 1 llama_model_loader: - kv 24: tokenizer.ggml.eos_token_id u32 = 2 llama_model_loader: - kv 25: tokenizer.ggml.unknown_token_id u32 = 0 llama_model_loader: - kv 26: tokenizer.ggml.add_bos_token bool = true llama_model_loader: - kv 27: tokenizer.ggml.add_eos_token bool = false llama_model_loader: - kv 28: general.quantization_version u32 = 2 llama_model_loader: - type f32: 49 tensors llama_model_loader: - type bf16: 170 tensors ================================ Have weights data with 168 entries [ 1/ 219] output.weight - [ 2048, 256000, 1, 1], type = bf16, size = 1000.000 MB [ 2/ 219] token_embd.weight - [ 2048, 256000, 1, 1], type = bf16, ====== llama_model_quantize_internal: did not find weights for token_embd.weight converting to q3_K .. load_imatrix: imatrix dataset='./imatrix/oscar/imatrix-dataset.txt' load_imatrix: loaded 168 importance matrix entries from imatrix/oscar/imatrix.dat computed on 44176 chunks prepare_imatrix: have 168 importance matrix entries size = 1000.00 MiB -> 214.84 MiB [ 3/ 219] blk.0.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 4/ 219] blk.0.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 5/ 219] blk.0.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 6/ 219] blk.0.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 7/ 219] blk.0.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 8/ 219] blk.0.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 9/ 219] blk.0.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 10/ 219] blk.0.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 11/ 219] blk.0.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 12/ 219] blk.1.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 13/ 219] blk.1.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 14/ 219] blk.1.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 15/ 219] blk.1.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 16/ 219] blk.1.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 17/ 219] blk.1.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 18/ 219] blk.1.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 19/ 219] blk.1.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 20/ 219] blk.1.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 21/ 219] blk.10.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 22/ 219] blk.10.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 23/ 219] blk.10.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 24/ 219] blk.10.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 25/ 219] blk.10.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 26/ 219] blk.10.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 27/ 219] blk.10.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 28/ 219] blk.10.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 29/ 219] blk.10.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 30/ 219] blk.11.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 31/ 219] blk.11.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 32/ 219] blk.11.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 33/ 219] blk.11.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 34/ 219] blk.11.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 35/ 219] blk.11.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 36/ 219] blk.11.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 37/ 219] blk.11.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 38/ 219] blk.11.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 39/ 219] blk.12.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 40/ 219] blk.12.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 41/ 219] blk.12.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 42/ 219] blk.12.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 43/ 219] blk.12.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 44/ 219] blk.12.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 45/ 219] blk.12.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 46/ 219] blk.12.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 47/ 219] blk.12.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 48/ 219] blk.13.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 49/ 219] blk.13.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 50/ 219] blk.13.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 51/ 219] blk.13.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 52/ 219] blk.13.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 53/ 219] blk.13.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 54/ 219] blk.13.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 55/ 219] blk.13.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 56/ 219] blk.13.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 57/ 219] blk.14.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 58/ 219] blk.14.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 59/ 219] blk.14.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 60/ 219] blk.14.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 61/ 219] blk.14.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 62/ 219] blk.14.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 63/ 219] blk.14.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 64/ 219] blk.14.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 65/ 219] blk.14.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 66/ 219] blk.15.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 67/ 219] blk.15.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 68/ 219] blk.15.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 69/ 219] blk.15.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 70/ 219] blk.15.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 71/ 219] blk.15.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 72/ 219] blk.15.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 73/ 219] blk.15.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 74/ 219] blk.15.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 75/ 219] blk.16.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 76/ 219] blk.16.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 77/ 219] blk.16.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 78/ 219] blk.16.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 79/ 219] blk.16.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 80/ 219] blk.16.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 81/ 219] blk.16.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 82/ 219] blk.16.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 83/ 219] blk.16.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 84/ 219] blk.17.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 85/ 219] blk.17.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 86/ 219] blk.17.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 87/ 219] blk.17.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 88/ 219] blk.17.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 89/ 219] blk.17.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 90/ 219] blk.17.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 91/ 219] blk.17.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 92/ 219] blk.17.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 93/ 219] blk.18.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 94/ 219] blk.18.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 95/ 219] blk.18.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 96/ 219] blk.18.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 97/ 219] blk.18.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 98/ 219] blk.18.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 99/ 219] blk.18.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 100/ 219] blk.18.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 101/ 219] blk.18.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 102/ 219] blk.19.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 103/ 219] blk.19.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 104/ 219] blk.19.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 105/ 219] blk.19.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 106/ 219] blk.19.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 107/ 219] blk.19.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 108/ 219] blk.19.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 109/ 219] blk.19.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 110/ 219] blk.19.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 111/ 219] blk.2.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 112/ 219] blk.2.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 113/ 219] blk.2.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 114/ 219] blk.2.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 115/ 219] blk.2.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 116/ 219] blk.2.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 117/ 219] blk.2.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 118/ 219] blk.2.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 119/ 219] blk.2.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 120/ 219] blk.20.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 121/ 219] blk.20.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 122/ 219] blk.20.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 123/ 219] blk.20.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 124/ 219] blk.20.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 125/ 219] blk.20.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 126/ 219] blk.20.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 127/ 219] blk.20.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 128/ 219] blk.20.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 129/ 219] blk.21.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 130/ 219] blk.21.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 131/ 219] blk.21.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 132/ 219] blk.21.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 133/ 219] blk.21.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 134/ 219] blk.21.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 135/ 219] blk.21.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 136/ 219] blk.21.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 137/ 219] blk.21.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 138/ 219] blk.22.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 139/ 219] blk.22.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 140/ 219] blk.22.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 141/ 219] blk.22.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 142/ 219] blk.22.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 143/ 219] blk.22.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 144/ 219] blk.22.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 145/ 219] blk.22.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 146/ 219] blk.22.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 147/ 219] blk.23.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 148/ 219] blk.23.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 149/ 219] blk.23.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 150/ 219] blk.23.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 151/ 219] blk.23.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 152/ 219] blk.23.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 153/ 219] blk.23.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 154/ 219] blk.23.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 155/ 219] blk.23.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 156/ 219] blk.3.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 157/ 219] blk.3.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 158/ 219] blk.3.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 159/ 219] blk.3.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 160/ 219] blk.3.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 161/ 219] blk.3.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 162/ 219] blk.3.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 163/ 219] blk.3.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 164/ 219] blk.3.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 165/ 219] blk.4.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 166/ 219] blk.4.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 167/ 219] blk.4.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 168/ 219] blk.4.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 169/ 219] blk.4.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 170/ 219] blk.4.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 171/ 219] blk.4.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 172/ 219] blk.4.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 173/ 219] blk.4.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 174/ 219] blk.5.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 175/ 219] blk.5.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 176/ 219] blk.5.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 177/ 219] blk.5.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 178/ 219] blk.5.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 179/ 219] blk.5.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 180/ 219] blk.5.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 181/ 219] blk.5.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 182/ 219] blk.5.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 183/ 219] blk.6.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 184/ 219] blk.6.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 185/ 219] blk.6.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 186/ 219] blk.6.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 187/ 219] blk.6.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 188/ 219] blk.6.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 189/ 219] blk.6.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 190/ 219] blk.6.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 191/ 219] blk.6.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 192/ 219] blk.7.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 193/ 219] blk.7.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 194/ 219] blk.7.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 195/ 219] blk.7.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 196/ 219] blk.7.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 197/ 219] blk.7.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 198/ 219] blk.7.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 199/ 219] blk.7.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 200/ 219] blk.7.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 201/ 219] blk.8.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 202/ 219] blk.8.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 203/ 219] blk.8.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 204/ 219] blk.8.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 205/ 219] blk.8.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 206/ 219] blk.8.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 207/ 219] blk.8.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 208/ 219] blk.8.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 209/ 219] blk.8.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 210/ 219] blk.9.attn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 211/ 219] blk.9.ffn_down.weight - [ 5440, 2048, 1, 1], type = bf16, llama_tensor_get_type : tensor cols 5440 x 2048 are not divisible by 256, required for q3_K - using fallback quantization iq4_nl converting to iq4_nl .. size = 21.25 MiB -> 5.98 MiB [ 212/ 219] blk.9.ffn_gate.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 213/ 219] blk.9.ffn_up.weight - [ 2048, 5440, 1, 1], type = bf16, converting to q3_K .. size = 21.25 MiB -> 4.57 MiB [ 214/ 219] blk.9.ffn_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB [ 215/ 219] blk.9.attn_k.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 216/ 219] blk.9.attn_output.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 217/ 219] blk.9.attn_q.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 218/ 219] blk.9.attn_v.weight - [ 2048, 2048, 1, 1], type = bf16, converting to q3_K .. size = 8.00 MiB -> 1.72 MiB [ 219/ 219] output_norm.weight - [ 2048, 1, 1, 1], type = f32, size = 0.008 MB llama_model_quantize_internal: model size = 4298.38 MB llama_model_quantize_internal: quant size = 1742.80 MB llama_model_quantize_internal: WARNING: 24 of 169 tensor(s) required fallback quantization main: quantize time = 6724.72 ms main: total time = 6724.72 ms |