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Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,161 @@ $ git clone https://github.com/jmorganca/ollama.git ... $ cd ollama $ git submodule update Submodule path 'llm/llama.cpp/ggml': checked out '9e232f0234073358e7031c1b8d7aa45020469a3b' Submodule path 'llm/llama.cpp/gguf': checked out '9e70cc03229df19ca2d28ce23cc817198f897278' $ cd llm/llama.cpp $ go generate generate_darwin_amd64.go Submodule path 'ggml': checked out '9e232f0234073358e7031c1b8d7aa45020469a3b' -- The C compiler identification is AppleClang 14.0.0.14000029 -- The CXX compiler identification is AppleClang 14.0.0.14000029 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Found Git: /usr/local/bin/git (found version "2.42.1") -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Accelerate framework found -- CMAKE_SYSTEM_PROCESSOR: x86_64 -- x86 detected -- Configuring done (3.2s) -- Generating done (1.5s) -- Build files have been written to: /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/ggml/build/cpu [ 9%] Building C object CMakeFiles/ggml.dir/ggml.c.o /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/ggml/ggml.c:2420:5: warning: implicit conversion increases floating-point precision: 'float' to 'ggml_float' (aka 'double') [-Wdouble-promotion] GGML_F16_VEC_REDUCE(sumf, sum); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/ggml/ggml.c:2052:37: note: expanded from macro 'GGML_F16_VEC_REDUCE' #define GGML_F16_VEC_REDUCE GGML_F32Cx8_REDUCE ^ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/ggml/ggml.c:2042:33: note: expanded from macro 'GGML_F32Cx8_REDUCE' #define GGML_F32Cx8_REDUCE GGML_F32x8_REDUCE ^ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/ggml/ggml.c:1988:11: note: expanded from macro 'GGML_F32x8_REDUCE' res = _mm_cvtss_f32(_mm_hadd_ps(t1, t1)); \ ~ ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/ggml/ggml.c:3462:9: warning: implicit conversion increases floating-point precision: 'float' to 'ggml_float' (aka 'double') [-Wdouble-promotion] GGML_F16_VEC_REDUCE(sumf[k], sum[k]); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/ggml/ggml.c:2052:37: note: expanded from macro 'GGML_F16_VEC_REDUCE' #define GGML_F16_VEC_REDUCE GGML_F32Cx8_REDUCE ^ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/ggml/ggml.c:2042:33: note: expanded from macro 'GGML_F32Cx8_REDUCE' #define GGML_F32Cx8_REDUCE GGML_F32x8_REDUCE ^ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/ggml/ggml.c:1988:11: note: expanded from macro 'GGML_F32x8_REDUCE' res = _mm_cvtss_f32(_mm_hadd_ps(t1, t1)); \ ~ ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/ggml/ggml.c:603:23: warning: unused function 'mul_sum_i8_pairs' [-Wunused-function] static inline __m128i mul_sum_i8_pairs(const __m128i x, const __m128i y) { ^ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/ggml/ggml.c:634:19: warning: unused function 'hsum_i32_4' [-Wunused-function] static inline int hsum_i32_4(const __m128i a) { ^ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/ggml/ggml.c:699:23: warning: unused function 'packNibbles' [-Wunused-function] static inline __m128i packNibbles( __m256i bytes ) ^ 5 warnings generated. [ 18%] Building C object CMakeFiles/ggml.dir/ggml-alloc.c.o [ 27%] Building C object CMakeFiles/ggml.dir/k_quants.c.o [ 27%] Built target ggml [ 36%] Building CXX object CMakeFiles/llama.dir/llama.cpp.o [ 45%] Linking CXX static library libllama.a [ 45%] Built target llama [ 54%] Building CXX object examples/CMakeFiles/common.dir/common.cpp.o [ 63%] Building CXX object examples/CMakeFiles/common.dir/console.cpp.o [ 72%] Building CXX object examples/CMakeFiles/common.dir/grammar-parser.cpp.o [ 72%] Built target common [ 81%] Built target BUILD_INFO [ 90%] Building CXX object examples/server/CMakeFiles/server.dir/server.cpp.o [100%] Linking CXX executable ../../bin/server ld: warning: directory not found for option '-L/usr/local/opt/pcsc-lite/lib:-L/usr/local/opt/openssl@3/lib:-L/usr/local/opt/python3/lib:' [100%] Built target server Submodule path 'gguf': checked out '9e70cc03229df19ca2d28ce23cc817198f897278' -- The C compiler identification is AppleClang 14.0.0.14000029 -- The CXX compiler identification is AppleClang 14.0.0.14000029 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Found Git: /usr/local/bin/git (found version "2.42.1") -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Accelerate framework found -- Metal framework found -- CMAKE_SYSTEM_PROCESSOR: x86_64 -- x86 detected -- Configuring done (3.3s) -- Generating done (0.8s) -- Build files have been written to: /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/gguf/build/cpu [ 6%] Building C object CMakeFiles/ggml.dir/ggml.c.o /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/gguf/ggml.c:2432:5: warning: implicit conversion increases floating-point precision: 'float' to 'ggml_float' (aka 'double') [-Wdouble-promotion] GGML_F16_VEC_REDUCE(sumf, sum); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/gguf/ggml.c:2064:37: note: expanded from macro 'GGML_F16_VEC_REDUCE' #define GGML_F16_VEC_REDUCE GGML_F32Cx8_REDUCE ^ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/gguf/ggml.c:2054:33: note: expanded from macro 'GGML_F32Cx8_REDUCE' #define GGML_F32Cx8_REDUCE GGML_F32x8_REDUCE ^ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/gguf/ggml.c:2000:11: note: expanded from macro 'GGML_F32x8_REDUCE' res = _mm_cvtss_f32(_mm_hadd_ps(t1, t1)); \ ~ ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/gguf/ggml.c:3692:9: warning: implicit conversion increases floating-point precision: 'float' to 'ggml_float' (aka 'double') [-Wdouble-promotion] GGML_F16_VEC_REDUCE(sumf[k], sum[k]); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/gguf/ggml.c:2064:37: note: expanded from macro 'GGML_F16_VEC_REDUCE' #define GGML_F16_VEC_REDUCE GGML_F32Cx8_REDUCE ^ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/gguf/ggml.c:2054:33: note: expanded from macro 'GGML_F32Cx8_REDUCE' #define GGML_F32Cx8_REDUCE GGML_F32x8_REDUCE ^ /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/gguf/ggml.c:2000:11: note: expanded from macro 'GGML_F32x8_REDUCE' res = _mm_cvtss_f32(_mm_hadd_ps(t1, t1)); \ ~ ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2 warnings generated. [ 13%] Building C object CMakeFiles/ggml.dir/ggml-alloc.c.o [ 20%] Building C object CMakeFiles/ggml.dir/ggml-backend.c.o [ 26%] Building C object CMakeFiles/ggml.dir/ggml-metal.m.o /Users/admin/GitHub/PublicRepos/ollama/llm/llama.cpp/gguf/ggml-metal.m:128:25: warning: unused variable 'msl_library_source' [-Wunused-const-variable] static NSString * const msl_library_source = @"see metal.metal"; ^ 1 warning generated. [ 33%] Building C object CMakeFiles/ggml.dir/k_quants.c.o [ 33%] Built target ggml [ 40%] Building CXX object CMakeFiles/llama.dir/llama.cpp.o [ 46%] Linking CXX static library libllama.a [ 46%] Built target llama [ 53%] Building CXX object common/CMakeFiles/common.dir/common.cpp.o [ 60%] Building CXX object common/CMakeFiles/common.dir/sampling.cpp.o [ 66%] Building CXX object common/CMakeFiles/common.dir/console.cpp.o [ 73%] Building CXX object common/CMakeFiles/common.dir/grammar-parser.cpp.o [ 80%] Building CXX object common/CMakeFiles/common.dir/train.cpp.o [ 80%] Built target common [ 86%] Built target BUILD_INFO [ 93%] Building CXX object examples/server/CMakeFiles/server.dir/server.cpp.o [100%] Linking CXX executable ../../bin/server ld: warning: directory not found for option '-L/usr/local/opt/pcsc-lite/lib:-L/usr/local/opt/openssl@3/lib:-L/usr/local/opt/python3/lib:' [100%] Built target server $ cd ../.. $ go build . -
Nov 16, 2023 .There are no files selected for viewing
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Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,24 @@ # Running Ollama on Intel Mac (MBP Early 2015) This is a memorandom of running [Ollama](https://github.com/jmorganca/ollama) on Intel MacBook Pro. ```shellsession $ neofetch --stdout [email protected] ----------------------------- OS: macOS 12.7.1 21G920 x86_64 Host: MacBookPro12,1 Kernel: 21.6.0 Uptime: 4 days, 18 hours, 6 mins Packages: 365 (brew) Shell: bash 3.2.57 Resolution: 1680x1050@2x DE: Aqua WM: Quartz Compositor WM Theme: Blue (Dark) Terminal: Apple_Terminal Terminal Font: HackGenConsoleNF-Regular CPU: Intel i5-5257U (4) @ 2.70GHz GPU: Intel Iris Graphics 6100 Memory: 5637MiB / 8192MiB ``` This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,331 @@ 2023/11/07 19:20:47 images.go:824: total blobs: 11 2023/11/07 19:20:47 images.go:831: total unused blobs removed: 0 2023/11/07 19:20:47 routes.go:680: Listening on 127.0.0.1:11434 (version 0.1.8) [GIN] 2023/11/07 - 19:21:48 | 200 | 1.035598ms | 127.0.0.1 | HEAD "/" [GIN] 2023/11/07 - 19:21:48 | 200 | 5.39239ms | 127.0.0.1 | POST "/api/show" 2023/11/07 19:21:48 llama.go:384: starting llama runner 2023/11/07 19:21:48 llama.go:386: error starting the external llama runner: fork/exec /var/folders/8c/lmckjks95fj4h_jqzw4v3k_w0000gn/T/ollama3772859082/llama.cpp/gguf/build/metal/bin/ollama-runner: bad CPU type in executable 2023/11/07 19:21:48 llama.go:384: starting llama runner 2023/11/07 19:21:48 llama.go:442: waiting for llama runner to start responding {"timestamp":1699352509,"level":"WARNING","function":"server_params_parse","line":873,"message":"Not compiled with GPU offload support, --n-gpu-layers option will be ignored. See main README.md for information on enabling GPU BLAS support","n_gpu_layers":-1} {"timestamp":1699352509,"level":"INFO","function":"main","line":1324,"message":"build info","build":219,"commit":"9e70cc0"} {"timestamp":1699352509,"level":"INFO","function":"main","line":1330,"message":"system info","n_threads":2,"n_threads_batch":-1,"total_threads":4,"system_info":"AVX = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 0 | NEON = 0 | ARM_FMA = 0 | F16C = 0 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | "} llama_model_loader: loaded meta data with 19 key-value pairs and 237 tensors from /Users/admin/.ollama/models/blobs/sha256:66002b78c70a22ab25e16cc9a1736c6cc6335398c7312e3eb33db202350afe66 (version GGUF V2 (latest)) llama_model_loader: - tensor 0: token_embd.weight q4_0 [ 3200, 32000, 1, 1 ] llama_model_loader: - tensor 1: blk.0.attn_q.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - tensor 2: blk.0.attn_k.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - tensor 3: blk.0.attn_v.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - tensor 4: blk.0.attn_output.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - tensor 5: blk.0.ffn_gate.weight q4_0 [ 3200, 8640, 1, 1 ] llama_model_loader: - tensor 6: blk.0.ffn_down.weight q4_0 [ 8640, 3200, 1, 1 ] llama_model_loader: - tensor 7: blk.0.ffn_up.weight q4_0 [ 3200, 8640, 1, 1 ] llama_model_loader: - tensor 8: blk.0.attn_norm.weight f32 [ 3200, 1, 1, 1 ] llama_model_loader: - tensor 9: blk.0.ffn_norm.weight f32 [ 3200, 1, 1, 1 ] llama_model_loader: - tensor 10: blk.1.attn_q.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - tensor 11: blk.1.attn_k.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - tensor 12: blk.1.attn_v.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - tensor 13: blk.1.attn_output.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - tensor 14: blk.1.ffn_gate.weight q4_0 [ 3200, 8640, 1, 1 ] llama_model_loader: - tensor 15: blk.1.ffn_down.weight q4_0 [ 8640, 3200, 1, 1 ] llama_model_loader: - tensor 16: blk.1.ffn_up.weight q4_0 [ 3200, 8640, 1, 1 ] llama_model_loader: - tensor 17: blk.1.attn_norm.weight f32 [ 3200, 1, 1, 1 ] llama_model_loader: - tensor 18: blk.1.ffn_norm.weight f32 [ 3200, 1, 1, 1 ] llama_model_loader: - tensor 19: blk.2.attn_q.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - tensor 20: blk.2.attn_k.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - tensor 21: blk.2.attn_v.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - tensor 22: blk.2.attn_output.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - tensor 23: blk.2.ffn_gate.weight q4_0 [ 3200, 8640, 1, 1 ] llama_model_loader: - tensor 24: blk.2.ffn_down.weight q4_0 [ 8640, 3200, 1, 1 ] llama_model_loader: - tensor 25: blk.2.ffn_up.weight q4_0 [ 3200, 8640, 1, 1 ] llama_model_loader: - tensor 26: blk.2.attn_norm.weight f32 [ 3200, 1, 1, 1 ] llama_model_loader: - tensor 27: blk.2.ffn_norm.weight f32 [ 3200, 1, 1, 1 ] llama_model_loader: - tensor 28: blk.3.attn_q.weight q4_0 [ 3200, 3200, 1, 1 ] llama_model_loader: - 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kv 0: general.architecture str llama_model_loader: - kv 1: general.name str llama_model_loader: - kv 2: llama.context_length u32 llama_model_loader: - kv 3: llama.embedding_length u32 llama_model_loader: - kv 4: llama.block_count u32 llama_model_loader: - kv 5: llama.feed_forward_length u32 llama_model_loader: - kv 6: llama.rope.dimension_count u32 llama_model_loader: - kv 7: llama.attention.head_count u32 llama_model_loader: - kv 8: llama.attention.head_count_kv u32 llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 llama_model_loader: - kv 10: general.file_type u32 llama_model_loader: - kv 11: tokenizer.ggml.model str llama_model_loader: - kv 12: tokenizer.ggml.tokens arr llama_model_loader: - kv 13: tokenizer.ggml.scores arr llama_model_loader: - kv 14: tokenizer.ggml.token_type arr llama_model_loader: - kv 15: tokenizer.ggml.bos_token_id u32 llama_model_loader: - kv 16: tokenizer.ggml.eos_token_id u32 llama_model_loader: - kv 17: tokenizer.ggml.padding_token_id u32 llama_model_loader: - kv 18: general.quantization_version u32 llama_model_loader: - type f32: 53 tensors llama_model_loader: - type q4_0: 183 tensors llama_model_loader: - type q8_0: 1 tensors llm_load_vocab: special tokens definition check successful ( 259/32000 ). llm_load_print_meta: format = GGUF V2 (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 = 2048 llm_load_print_meta: n_embd = 3200 llm_load_print_meta: n_head = 32 llm_load_print_meta: n_head_kv = 32 llm_load_print_meta: n_layer = 26 llm_load_print_meta: n_rot = 100 llm_load_print_meta: n_gqa = 1 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 = 8640 llm_load_print_meta: freq_base_train = 10000.0 llm_load_print_meta: freq_scale_train = 1 llm_load_print_meta: model type = 3B llm_load_print_meta: model ftype = mostly Q4_0 llm_load_print_meta: model params = 3.43 B llm_load_print_meta: model size = 1.84 GiB (4.62 BPW) llm_load_print_meta: general.name = pankajmathur 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 = 0.08 MB llm_load_tensors: mem required = 1887.57 MB ................ ............................................. ............... ....... ... ........ llama_new_context_with_model: n_ctx = 2048 llama_new_context_with_model: freq_base = 10000.0 llama_new_context_with_model: freq_scale = 1 llama_new_context_with_model: kv self size = 650.00 MB llama_new_context_with_model: compute buffer total size = 156.88 MB llama server listening at http://127.0.0.1:55568 {"timestamp":1699352522,"level":"INFO","function":"main","line":1749,"message":"HTTP server listening","hostname":"127.0.0.1","port":55568} {"timestamp":1699352522,"level":"INFO","function":"log_server_request","line":1240,"message":"request","remote_addr":"127.0.0.1","remote_port":49743,"status":200,"method":"HEAD","path":"/","params":{}} 2023/11/07 19:22:02 llama.go:456: llama runner started in 13.401789 seconds [GIN] 2023/11/07 - 19:22:02 | 200 | 13.791850245s | 127.0.0.1 | POST "/api/generate" {"timestamp":1699352526,"level":"INFO","function":"log_server_request","line":1240,"message":"request","remote_addr":"127.0.0.1","remote_port":49743,"status":200,"method":"HEAD","path":"/","params":{}} 2023/11/07 19:22:06 llama.go:399: signal: segmentation fault 2023/11/07 19:22:06 llama.go:473: llama runner stopped successfully [GIN] 2023/11/07 - 19:22:06 | 200 | 265.904241ms | 127.0.0.1 | POST "/api/generate" [GIN] 2023/11/07 - 19:22:37 | 200 | 17.588µs | 127.0.0.1 | HEAD "/" [GIN] 2023/11/07 - 19:22:37 | 200 | 1.539704ms | 127.0.0.1 | GET "/api/tags" 2023/11/07 19:23:12 llama.go:473: llama runner stopped successfully 2023/11/09 19:03:00 images.go:824: total blobs: 11 2023/11/09 19:03:00 images.go:831: total unused blobs removed: 0 2023/11/09 19:03:00 routes.go:680: Listening on 127.0.0.1:11434 (version 0.1.8)