Generating new 'chat mode' responses with a long history is really slow while regenerating works as expected (--cpu, Linux)

Describe the bug

I am using --cpu flag onto run the GGML models (specifically WizardLM-30B-Uncensored-GGML) entirely into RAM as I don't have much VRAM. In the chat and chat-instruct mode the generation is slower. The more prior history the character has, the slower the generation is. Instruct works as expected. I don't exclude the issues with my local setup, because it used to work normally at some point yesterday but then it just stopped. But I tried reinstalling the UI, model and cleaning local Python cache/re-install Python entirely several times and the issue persists. May be the expected behaviour but I am not sure.

Is there an existing issue for this?

[X] I have searched the existing issues

Reproduction

Enable chat or chat-instruct mode
Enable any character
Try to generate some responses (using 'Generate' button)
Wait for ~5 mins
Get a response

Screenshot

No response

Logs

/* Loading a model */
INFO:Loading WizardLM-30B-Uncensored.ggmlv3.q4_0.bin...
INFO:llama.cpp weights detected: models/WizardLM-30B-Uncensored.ggmlv3.q4_0.bin

INFO:Cache capacity is 0 bytes
llama.cpp: loading model from models/WizardLM-30B-Uncensored.ggmlv3.q4_0.bin
llama_model_load_internal: format     = ggjt v3 (latest)
llama_model_load_internal: n_vocab    = 32001
llama_model_load_internal: n_ctx      = 2048
llama_model_load_internal: n_embd     = 6656
llama_model_load_internal: n_mult     = 256
llama_model_load_internal: n_head     = 52
llama_model_load_internal: n_layer    = 60
llama_model_load_internal: n_rot      = 128
llama_model_load_internal: ftype      = 2 (mostly Q4_0)
llama_model_load_internal: n_ff       = 17920
llama_model_load_internal: n_parts    = 1
llama_model_load_internal: model size = 30B
llama_model_load_internal: ggml ctx size =    0.13 MB
llama_model_load_internal: mem required  = 19756.67 MB (+ 3124.00 MB per state)
.
llama_init_from_file: kv self size  = 3120.00 MB
AVX = 1 | AVX2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 | 
INFO:Loaded the model in 0.29 seconds.

/* Instruct mode */
llama_print_timings:        load time =  1732.59 ms
llama_print_timings:      sample time =     3.92 ms /    11 runs   (    0.36 ms per token)
llama_print_timings: prompt eval time =  1732.55 ms /     9 tokens (  192.51 ms per token)
llama_print_timings:        eval time =  5947.06 ms /    10 runs   (  594.71 ms per token)
llama_print_timings:       total time =  7699.96 ms
Output generated in 7.92 seconds (1.26 tokens/s, 10 tokens, context 10, seed 1180324049)

/* Chat-instruct mode, Chiharu Yamada */
llama_print_timings:        load time =  1732.59 ms
llama_print_timings:      sample time =     6.28 ms /    17 runs   (    0.37 ms per token)
llama_print_timings: prompt eval time = 65955.69 ms /   409 tokens (  161.26 ms per token)
llama_print_timings:        eval time =  9782.56 ms /    16 runs   (  611.41 ms per token)
llama_print_timings:       total time = 75769.95 ms
Output generated in 75.99 seconds (0.21 tokens/s, 16 tokens, context 410, seed 1596456226)

/* Chat mode, Chiharu Yamada (2.6kB logs) */
Llama.generate: prefix-match hit
Output generated in 141.75 seconds (0.82 tokens/s, 116 tokens, context 426, seed 849433334)

/* Chat mode, Chiharu Yamada (regenerate) */
Llama.generate: prefix-match hit
Output generated in 76.48 seconds (1.53 tokens/s, 117 tokens, context 426, seed 486988653)

/* Chat mode, custom character (12.2kB logs) */
Output generated in 343.99 seconds (0.07 tokens/s, 23 tokens, context 1837, seed 1835124699)

/* Chat mode, custom character (regenerate) */
Llama.generate: prefix-match hit
Output generated in 22.20 seconds (1.31 tokens/s, 29 tokens, context 1837, seed 564248536)

System Info

vendor_id   : GenuineIntel
cpu family  : 6
model       : 167
model name  : 11th Gen Intel(R) Core(TM) i7-11700K @ 3.60GHz
stepping    : 1
microcode   : 0x58
cpu MHz     : 3600.000
cache size  : 16384 KB
physical id : 0
siblings    : 16
core id     : 7
cpu cores   : 8
apicid      : 15
initial apicid  : 15
fpu     : yes
fpu_exception   : yes
cpuid level : 27
wp      : yes
flags       : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx avx512f avx512dq rdseed adx smap avx512ifma clflushopt intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid fsrm md_clear flush_l1d arch_capabilities
vmx flags   : vnmi preemption_timer posted_intr invvpid ept_x_only ept_ad ept_1gb flexpriority apicv tsc_offset vtpr mtf vapic ept vpid unrestricted_guest vapic_reg vid ple shadow_vmcs pml ept_mode_based_exec tsc_scaling
bugs        : spectre_v1 spectre_v2 spec_store_bypass swapgs mmio_stale_data retbleed eibrs_pbrsb
bogomips    : 7202.00
clflush size    : 64
cache_alignment : 64
address sizes   : 39 bits physical, 48 bits virtual
power management:

LSB Version:    n/a
Distributor ID: EndeavourOS
Description:    EndeavourOS Linux
Release:    rolling
Codename:   rolling

oobabooga / text-generation-webui