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Smaug-72B-v0.1-gguf

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I am using llama.cpp version: 2050 (19122117). I also tried 2101.

Hi, I am trying to run the model on the CPU with 64GB of RAM. I get the following error:

server --threads 23 --ctx-size 16384 --mlock --model models\Smaug-72B-v0.1-q4_k_m.gguf

{"timestamp":1707406036,"level":"INFO","function":"main","line":2428,"message":"build info","build":2050,"commit":"19122117"}
{"timestamp":1707406036,"level":"INFO","function":"main","line":2435,"message":"system info","n_threads":23,"n_threads_batch":-1,"total_threads":24,"system_info":"AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 0 | VSX = 0 | "}

llama server listening at http://127.0.0.1:8080

{"timestamp":1707406036,"level":"INFO","function":"main","line":2534,"message":"HTTP server listening","hostname":"127.0.0.1","port":"8080"}
llama_model_loader: loaded meta data with 22 key-value pairs and 1043 tensors from models\Smaug-72B-v0.1-q4_k_m.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.name str              = snapshots
llama_model_loader: - kv   2:                       llama.context_length u32              = 32768
llama_model_loader: - kv   3:                     llama.embedding_length u32              = 8192
llama_model_loader: - kv   4:                          llama.block_count u32              = 80
llama_model_loader: - kv   5:                  llama.feed_forward_length u32              = 24576
llama_model_loader: - kv   6:                 llama.rope.dimension_count u32              = 128
llama_model_loader: - kv   7:                 llama.attention.head_count u32              = 64
llama_model_loader: - kv   8:              llama.attention.head_count_kv u32              = 64
llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32              = 0.000001
llama_model_loader: - kv  10:                       llama.rope.freq_base f32              = 1000000.000000
llama_model_loader: - kv  11:                          general.file_type u32              = 15
llama_model_loader: - kv  12:                       tokenizer.ggml.model str              = gpt2
llama_model_loader: - kv  13:                      tokenizer.ggml.tokens arr[str,152064]  = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv  14:                      tokenizer.ggml.scores arr[f32,152064]  = [0.000000, 0.000000, 0.000000, 0.0000...
llama_model_loader: - kv  15:                  tokenizer.ggml.token_type arr[i32,152064]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv  16:                      tokenizer.ggml.merges arr[str,151387]  = ["─á ─á", "─á─á ─á─á", "i n", "─á t",...
llama_model_loader: - kv  17:                tokenizer.ggml.bos_token_id u32              = 151643
llama_model_loader: - kv  18:                tokenizer.ggml.eos_token_id u32              = 151643
llama_model_loader: - kv  19:            tokenizer.ggml.unknown_token_id u32              = 151643
llama_model_loader: - kv  20:            tokenizer.ggml.padding_token_id u32              = 151643
llama_model_loader: - kv  21:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:  481 tensors
llama_model_loader: - type q4_K:  481 tensors
llama_model_loader: - type q6_K:   81 tensors
llm_load_vocab: mismatch in special tokens definition ( 421/152064 vs 214/152064 ).
llm_load_print_meta: format           = GGUF V3 (latest)
llm_load_print_meta: arch             = llama
llm_load_print_meta: vocab type       = BPE
llm_load_print_meta: n_vocab          = 152064
llm_load_print_meta: n_merges         = 151387
llm_load_print_meta: n_ctx_train      = 32768
llm_load_print_meta: n_embd           = 8192
llm_load_print_meta: n_head           = 64
llm_load_print_meta: n_head_kv        = 64
llm_load_print_meta: n_layer          = 80
llm_load_print_meta: n_rot            = 128
llm_load_print_meta: n_embd_head_k    = 128
llm_load_print_meta: n_embd_head_v    = 128
llm_load_print_meta: n_gqa            = 1
llm_load_print_meta: n_embd_k_gqa     = 8192
llm_load_print_meta: n_embd_v_gqa     = 8192
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: n_ff             = 24576
llm_load_print_meta: n_expert         = 0
llm_load_print_meta: n_expert_used    = 0
llm_load_print_meta: rope scaling     = linear
llm_load_print_meta: freq_base_train  = 1000000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx  = 32768
llm_load_print_meta: rope_finetuned   = unknown
llm_load_print_meta: model type       = 65B
llm_load_print_meta: model ftype      = Q4_K - Medium
llm_load_print_meta: model params     = 72.29 B
llm_load_print_meta: model size       = 40.76 GiB (4.84 BPW)
llm_load_print_meta: general.name     = snapshots
llm_load_print_meta: BOS token        = 151643 '<|endoftext|>'
llm_load_print_meta: EOS token        = 151643 '<|endoftext|>'
llm_load_print_meta: UNK token        = 151643 '<|endoftext|>'
llm_load_print_meta: PAD token        = 151643 '<|endoftext|>'
llm_load_print_meta: LF token         = 30 '?'
llm_load_tensors: ggml ctx size =    0.40 MiB
llm_load_tensors: offloading 0 repeating layers to GPU
llm_load_tensors: offloaded 0/81 layers to GPU
llm_load_tensors:        CPU buffer size = 41737.81 MiB
........................................................................warning: failed to VirtualLock 113246208-byte buffer (after previously locking 31698075648 bytes): Invalid access to memory location.

...........................
llama_new_context_with_model: n_ctx      = 16384
llama_new_context_with_model: freq_base  = 1000000.0
llama_new_context_with_model: freq_scale = 1

If I remove --threads 23 --ctx-size 16384 --mlock from the command I get no error, it just closes.