TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUFを動かす

環境

実行

モデルをロードしてから、推論を実行します

準備

# llama.cppのmixtralブランチをクローン(mergeが済んだら「-b mixtral」不要)
!git clone -b mixtral https://github.com/ggerganov/llama.cpp
%cd llama.cpp
!make
#!make LLAMA_CUBLAS=1 #GPUオフロードする場合

# モデルのダウンロード(Q4_K_M-GGUF)
!wget https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF/resolve/main/mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf -P ./models/

推論

# Q4_K_Mモデルで推論
!./main -m ./models/mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf \
       --prompt "I believe the meaning of life is" \
       --n-predict 512 --threads 8 #--n-gpu-layers 999 #GPUオフロードする場合

結果

 I believe the meaning of life is to do what makes you happy, while also being kind and respectful to others. The world would be a much better place if people treated each other how they want to be treated.

I like that everyone has their own opinion and perspective on things, which makes us all unique individuals. I think it's important to listen to and understand different viewpoints because it helps you grow as a person and see things from new perspectives.

One of my greatest passions is traveling. Exploring new places, trying new foods, meeting new people, and learning about different cultures is what makes me happy. I believe that travel can change your life for the better by opening your mind to new experiences and broadening your horizons.

I am also passionate about music. Music has the power to bring people together and evoke emotions like no other form of art. Whether it's singing, playing an instrument, or simply listening, I believe that everyone should have some form of musical expression in their lives.

Ultimately, I think the meaning of life is to find happiness and fulfillment in whatever makes you feel alive. It's about creating meaningful connections with others and making a positive impact on the world around us. [end of text]

ログ

I llama.cpp build info: 
I UNAME_S:   Linux
I UNAME_P:   x86_64
I UNAME_M:   x86_64
I CFLAGS:    -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c11   -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wshadow -Wstrict-prototypes -Wpointer-arith -Wmissing-prototypes -Werror=implicit-int -Werror=implicit-function-declaration -pthread -march=native -mtune=native -Wdouble-promotion 
I CXXFLAGS:  -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi
I NVCCFLAGS:  
I LDFLAGS:    
I CC:        cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
I CXX:       g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0

g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi examples/llama-bench/llama-bench.cpp ggml.o llama.o common.o sampling.o grammar-parser.o build-info.o ggml-alloc.o ggml-backend.o ggml-quants.o -o llama-bench  
g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi -static -fPIC -c examples/llava/llava.cpp -o libllava.a -Wno-cast-qual
g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi examples/llava/llava-cli.cpp examples/llava/clip.cpp examples/llava/llava.cpp ggml.o llama.o common.o sampling.o grammar-parser.o build-info.o ggml-alloc.o ggml-backend.o ggml-quants.o -o llava-cli   -Wno-cast-qual
g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi examples/baby-llama/baby-llama.cpp ggml.o llama.o common.o sampling.o grammar-parser.o build-info.o train.o ggml-alloc.o ggml-backend.o ggml-quants.o -o baby-llama  
g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi examples/beam-search/beam-search.cpp ggml.o llama.o common.o sampling.o grammar-parser.o build-info.o ggml-alloc.o ggml-backend.o ggml-quants.o -o beam-search  
g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi examples/speculative/speculative.cpp ggml.o llama.o common.o sampling.o grammar-parser.o build-info.o ggml-alloc.o ggml-backend.o ggml-quants.o -o speculative  
g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi examples/infill/infill.cpp ggml.o llama.o common.o sampling.o grammar-parser.o build-info.o console.o ggml-alloc.o ggml-backend.o ggml-quants.o -o infill  
g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi examples/tokenize/tokenize.cpp ggml.o llama.o common.o sampling.o grammar-parser.o build-info.o ggml-alloc.o ggml-backend.o ggml-quants.o -o tokenize  
g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi examples/benchmark/benchmark-matmult.cpp build-info.o ggml.o ggml-alloc.o ggml-backend.o ggml-quants.o -o benchmark-matmult  
g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi examples/parallel/parallel.cpp ggml.o llama.o common.o sampling.o grammar-parser.o build-info.o ggml-alloc.o ggml-backend.o ggml-quants.o -o parallel  
g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi examples/finetune/finetune.cpp ggml.o llama.o common.o sampling.o grammar-parser.o build-info.o train.o ggml-alloc.o ggml-backend.o ggml-quants.o -o finetune  
g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi examples/export-lora/export-lora.cpp ggml.o ggml-alloc.o ggml-backend.o ggml-quants.o -o export-lora  
g++ -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c++11 -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wmissing-declarations -Wmissing-noreturn -pthread  -march=native -mtune=native -Wno-array-bounds -Wno-format-truncation -Wextra-semi examples/lookahead/lookahead.cpp ggml.o llama.o common.o sampling.o grammar-parser.o build-info.o ggml-alloc.o ggml-backend.o ggml-quants.o -o lookahead  
cc -I. -Icommon -D_XOPEN_SOURCE=600 -D_GNU_SOURCE -DNDEBUG  -std=c11   -fPIC -O3 -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wshadow -Wstrict-prototypes -Wpointer-arith -Wmissing-prototypes -Werror=implicit-int -Werror=implicit-function-declaration -pthread -march=native -mtune=native -Wdouble-promotion  -c tests/test-c.c -o tests/test-c.o
--2023-12-18 10:12:53--  https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF/resolve/main/mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf
Resolving huggingface.co (huggingface.co)... 18.172.52.38, 18.172.52.61, 18.172.52.121, ...
Connecting to huggingface.co (huggingface.co)|18.172.52.38|:443... connected.
HTTP request sent, awaiting response... 302 Found
Location: https://cdn-lfs-us-1.huggingface.co/repos/ac/ba/acba0635d39a127379c2c6ae1cefacc586bf413e8b044c5ca82daade27d7d503/9193684683657e90707087bd1ed19fd0b277ab66358d19edeadc26d6fdec4f53?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf%3B+filename%3D%22mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf%22%3B&Expires=1703153552&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcwMzE1MzU1Mn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2FjL2JhL2FjYmEwNjM1ZDM5YTEyNzM3OWMyYzZhZTFjZWZhY2M1ODZiZjQxM2U4YjA0NGM1Y2E4MmRhYWRlMjdkN2Q1MDMvOTE5MzY4NDY4MzY1N2U5MDcwNzA4N2JkMWVkMTlmZDBiMjc3YWI2NjM1OGQxOWVkZWFkYzI2ZDZmZGVjNGY1Mz9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=g-BoZxoUf33XzbpcmsI9nUkxZJNKdTBlURpvUqunQ-QMhfoDsMypIIzUxtHdK6A4N22PdzxGu-b6jCSdaWOfjaEpxf-BM8wSzLIVIbGJIGY3CktRbmdDZHJns4IqMWU0cA4EiQ2ARg1XvnaeHxUG9Cwl70OCFZstdl-9vKzblqMcp4wWlW58W0ETStFKwjgsBYH4juFF73Fj4DrOH7hN6A-uICqyNQ2wjUjn%7EnqaNqB%7EELYK2vJGaQUeMLxnugvdD3I4wjSTK65%7EbbZazVN8Lr%7EypGWHB69a6fxYZ0V2TERHDhz1Ig2tjqOvvdTrdXeo4SJ5gq6f64vla-PFume7Mw__&Key-Pair-Id=KCD77M1F0VK2B [following]
--2023-12-18 10:12:54--  https://cdn-lfs-us-1.huggingface.co/repos/ac/ba/acba0635d39a127379c2c6ae1cefacc586bf413e8b044c5ca82daade27d7d503/9193684683657e90707087bd1ed19fd0b277ab66358d19edeadc26d6fdec4f53?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf%3B+filename%3D%22mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf%22%3B&Expires=1703153552&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcwMzE1MzU1Mn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2FjL2JhL2FjYmEwNjM1ZDM5YTEyNzM3OWMyYzZhZTFjZWZhY2M1ODZiZjQxM2U4YjA0NGM1Y2E4MmRhYWRlMjdkN2Q1MDMvOTE5MzY4NDY4MzY1N2U5MDcwNzA4N2JkMWVkMTlmZDBiMjc3YWI2NjM1OGQxOWVkZWFkYzI2ZDZmZGVjNGY1Mz9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=g-BoZxoUf33XzbpcmsI9nUkxZJNKdTBlURpvUqunQ-QMhfoDsMypIIzUxtHdK6A4N22PdzxGu-b6jCSdaWOfjaEpxf-BM8wSzLIVIbGJIGY3CktRbmdDZHJns4IqMWU0cA4EiQ2ARg1XvnaeHxUG9Cwl70OCFZstdl-9vKzblqMcp4wWlW58W0ETStFKwjgsBYH4juFF73Fj4DrOH7hN6A-uICqyNQ2wjUjn%7EnqaNqB%7EELYK2vJGaQUeMLxnugvdD3I4wjSTK65%7EbbZazVN8Lr%7EypGWHB69a6fxYZ0V2TERHDhz1Ig2tjqOvvdTrdXeo4SJ5gq6f64vla-PFume7Mw__&Key-Pair-Id=KCD77M1F0VK2B
Resolving cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)... 18.172.52.14, 18.172.52.108, 18.172.52.15, ...
Connecting to cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)|18.172.52.14|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 26441533376 (25G) [binary/octet-stream]
Saving to: ‘./models/mixtral-8x7b-instruct-v0.1.Q4_K_M.ggufmixtral-8x7b-instru 100%[===================>]  24.62G   268MB/s    in 1m 45s  

2023-12-18 10:14:39 (240 MB/s) - ‘./models/mixtral-8x7b-instruct-v0.1.Q4_K_M.ggufsaved [26441533376/26441533376]

Log start
main: build = 1656 (2994f0c)
main: built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
main: seed  = 1702894479
llama_model_loader: loaded meta data with 26 key-value pairs and 995 tensors from ./models/mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf (version GGUF V3 (latest))
llama_model_loader: - tensor    0:                token_embd.weight q4_K     [  4096, 32000,     1,     1 ]
...(省略)
llama_model_loader: - tensor  994:               output_norm.weight f32      [  4096,     1,     1,     1 ]

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              = mistralai_mixtral-8x7b-instruct-v0.1
llama_model_loader: - kv   2:                       llama.context_length u32              = 32768
llama_model_loader: - kv   3:                     llama.embedding_length u32              = 4096
llama_model_loader: - kv   4:                          llama.block_count u32              = 32
llama_model_loader: - kv   5:                  llama.feed_forward_length u32              = 14336
llama_model_loader: - kv   6:                 llama.rope.dimension_count u32              = 128
llama_model_loader: - kv   7:                 llama.attention.head_count u32              = 32
llama_model_loader: - kv   8:              llama.attention.head_count_kv u32              = 8
llama_model_loader: - kv   9:                         llama.expert_count u32              = 8
llama_model_loader: - kv  10:                    llama.expert_used_count u32              = 2
llama_model_loader: - kv  11:     llama.attention.layer_norm_rms_epsilon f32              = 0.000010
llama_model_loader: - kv  12:                       llama.rope.freq_base f32              = 1000000.000000
llama_model_loader: - kv  13:                          general.file_type u32              = 15
llama_model_loader: - kv  14:                       tokenizer.ggml.model str              = llama
llama_model_loader: - kv  15:                      tokenizer.ggml.tokens arr[str,32000]   = ["<unk>", "<s>", "</s>", "<0x00>", "<...
llama_model_loader: - kv  16:                      tokenizer.ggml.scores arr[f32,32000]   = [0.000000, 0.000000, 0.000000, 0.0000...
llama_model_loader: - kv  17:                  tokenizer.ggml.token_type arr[i32,32000]   = [2, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, ...
llama_model_loader: - kv  18:                tokenizer.ggml.bos_token_id u32              = 1
llama_model_loader: - kv  19:                tokenizer.ggml.eos_token_id u32              = 2
llama_model_loader: - kv  20:            tokenizer.ggml.unknown_token_id u32              = 0
llama_model_loader: - kv  21:            tokenizer.ggml.padding_token_id u32              = 0
llama_model_loader: - kv  22:               tokenizer.ggml.add_bos_token bool             = true
llama_model_loader: - kv  23:               tokenizer.ggml.add_eos_token bool             = false
llama_model_loader: - kv  24:                    tokenizer.chat_template str              = {{ bos_token }}{% for message in mess...
llama_model_loader: - kv  25:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:   65 tensors
llama_model_loader: - type  f16:   32 tensors
llama_model_loader: - type q8_0:   64 tensors
llama_model_loader: - type q4_K:  833 tensors
llama_model_loader: - type q6_K:    1 tensors
llm_load_vocab: special tokens definition check successful ( 259/32000 ).
llm_load_print_meta: format           = GGUF V3 (latest)
llm_load_print_meta: arch             = llama
llm_load_print_meta: vocab type       = SPM
llm_load_print_meta: n_vocab          = 32000
llm_load_print_meta: n_merges         = 0
llm_load_print_meta: n_ctx_train      = 32768
llm_load_print_meta: n_embd           = 4096
llm_load_print_meta: n_head           = 32
llm_load_print_meta: n_head_kv        = 8
llm_load_print_meta: n_layer          = 32
llm_load_print_meta: n_rot            = 128
llm_load_print_meta: n_gqa            = 4
llm_load_print_meta: f_norm_eps       = 0.0e+00
llm_load_print_meta: f_norm_rms_eps   = 1.0e-05
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             = 14336
llm_load_print_meta: n_expert         = 8
llm_load_print_meta: n_expert_used    = 2
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       = 7B
llm_load_print_meta: model ftype      = Q4_K - Medium
llm_load_print_meta: model params     = 46.70 B
llm_load_print_meta: model size       = 24.62 GiB (4.53 BPW) 
llm_load_print_meta: general.name     = mistralai_mixtral-8x7b-instruct-v0.1
llm_load_print_meta: BOS token        = 1 '<s>'
llm_load_print_meta: EOS token        = 2 '</s>'
llm_load_print_meta: UNK token        = 0 '<unk>'
llm_load_print_meta: PAD token        = 0 '<unk>'
llm_load_print_meta: LF token         = 13 '<0x0A>'
llm_load_tensors: ggml ctx size =    0.38 MiB
llm_load_tensors: mem required  = 25216.25 MiB
....................................................................................................
llama_new_context_with_model: n_ctx      = 512
llama_new_context_with_model: freq_base  = 1000000.0
llama_new_context_with_model: freq_scale = 1
llama_new_context_with_model: KV self size  =   64.00 MiB, K (f16):   32.00 MiB, V (f16):   32.00 MiB
llama_build_graph: non-view tensors processed: 1124/1124
llama_new_context_with_model: compute buffer total size = 117.72 MiB

system_info: n_threads = 8 / 144 | 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 | SSSE3 = 1 | VSX = 0 | 
sampling: 
    repeat_last_n = 64, repeat_penalty = 1.100, frequency_penalty = 0.000, presence_penalty = 0.000
    top_k = 40, tfs_z = 1.000, top_p = 0.950, min_p = 0.050, typical_p = 1.000, temp = 0.800
    mirostat = 0, mirostat_lr = 0.100, mirostat_ent = 5.000
sampling order: 
CFG -> Penalties -> top_k -> tfs_z -> typical_p -> top_p -> min_p -> temp 
generate: n_ctx = 512, n_batch = 512, n_predict = 512, n_keep = 0


 I believe the meaning of life is to do what makes you happy, while also being kind and respectful to others. The world would be a much better place if people treated each other how they want to be treated.

I like that everyone has their own opinion and perspective on things, which makes us all unique individuals. I think it's important to listen to and understand different viewpoints because it helps you grow as a person and see things from new perspectives.

One of my greatest passions is traveling. Exploring new places, trying new foods, meeting new people, and learning about different cultures is what makes me happy. I believe that travel can change your life for the better by opening your mind to new experiences and broadening your horizons.

I am also passionate about music. Music has the power to bring people together and evoke emotions like no other form of art. Whether it's singing, playing an instrument, or simply listening, I believe that everyone should have some form of musical expression in their lives.

Ultimately, I think the meaning of life is to find happiness and fulfillment in whatever makes you feel alive. It's about creating meaningful connections with others and making a positive impact on the world around us. [end of text]

llama_print_timings:        load time =    1318.69 ms
llama_print_timings:      sample time =      68.64 ms /   254 runs   (    0.27 ms per token,  3700.74 tokens per second)
llama_print_timings: prompt eval time =     724.83 ms /     8 tokens (   90.60 ms per token,    11.04 tokens per second)
llama_print_timings:        eval time =   37160.21 ms /   253 runs   (  146.88 ms per token,     6.81 tokens per second)
llama_print_timings:       total time =   38042.12 ms
Log end