Closed
Description
Name and Version
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 1 CUDA devices:
Device 0: NVIDIA GeForce RTX 4070 Laptop GPU, compute capability 8.9, VMM: yes
version: 4783 (a800ae4)
built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
Operating systems
Linux
GGML backends
CUDA
Hardware
i9-13900HX + NVIDIA GeForce RTX 4070
Models
Problem description & steps to reproduce
docker run --gpus all --rm --name llama.cpp -p 8080:8080 -v /etc/ssl/certs:/etc/ssl/certs:ro -v /home/ed/.llama.cpp/models:/root/.cache ghcr.io/ggml-org/llama.cpp:full-cuda -s --ctx-size 0 --jinja -fa -hf bartowski/functionary-small-v3.2-GGUF:Q4_K_M --host 0.0.0.0 -ngl 10 --verbose
curl http://localhost:8080/v1/chat/completions -d '{
"model": "gpt-3.5-turbo",
"messages": [
{
"role": "user",
"content": "Hi."
}
]
}' | jq '.choices[0]'
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 2352 100 2254 100 98 2762 120 --:--:-- --:--:-- --:--:-- 2882
{
"finish_reason": "stop",
"index": 0,
"message": {
"role": "assistant",
"content": "Hello! How can I help you today?"
}
}
curl http://localhost:8080/v1/chat/completions -d '{
"model": "gpt-3.5-turbo",
"tools": [
{
"type":"function",
"function":{
"name":"python",
"description":"Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.",
"parameters":{
"type":"object",
"properties":{
"code":{
"type":"string",
"description":"The code to run in the ipython interpreter."
}
},
"required":["code"]
}
}
}
],
"messages": [
{
"role": "user",
"content": "Hi"
}
]
}' | jq '.choices[0]'
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 4096 100 3527 100 569 4240 684 --:--:-- --:--:-- --:--:-- 4923
{
"finish_reason": "stop",
"index": 0,
"message": {
"role": "assistant",
"content": "assistant\nHello! How can I assist you today?"
}
}
First Bad Commit
No response
Relevant log output
+ docker run --gpus all --rm --name llama.cpp -p 8080:8080 -v /etc/ssl/certs:/etc/ssl/certs:ro -v /home/ed/.llama.cpp/models:/root/.cache ghcr.io/ggml-org/llama.cpp:full-cuda -s --ctx-size 0 --jinja -fa -hf bartowski/functionary-small-v3.2-GGUF:Q4_K_M --host 0.0.0.0 -ngl 10 --verbose
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 1 CUDA devices:
Device 0: NVIDIA GeForce RTX 4070 Laptop GPU, compute capability 8.9, VMM: yes
build: 4783 (a800ae46) with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
system info: n_threads = 8, n_threads_batch = 8, total_threads = 32
system_info: n_threads = 8 (n_threads_batch = 8) / 32 | CUDA : ARCHS = 500,610,700,750,800 | USE_GRAPHS = 1 | PEER_MAX_BATCH_SIZE = 128 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | LLAMAFILE = 1 | OPENMP = 1 | AARCH64_REPACK = 1 |
main: HTTP server is listening, hostname: 0.0.0.0, port: 8080, http threads: 31
main: loading model
srv load_model: loading model '/root/.cache/llama.cpp/bartowski_functionary-small-v3.2-GGUF_functionary-small-v3.2-Q4_K_M.gguf'
common_download_file: previous metadata file found /root/.cache/llama.cpp/bartowski_functionary-small-v3.2-GGUF_functionary-small-v3.2-Q4_K_M.gguf.json: {"etag":"\"e0ce54ab24981f28174430665c1ed516-308\"","lastModified":"Thu, 08 Aug 2024 09:29:55 GMT","url":"https://huggingface.co/bartowski/functionary-small-v3.2-GGUF/resolve/main/functionary-small-v3.2-Q4_K_M.gguf"}
curl_perform_with_retry: Trying to download from https://huggingface.co/bartowski/functionary-small-v3.2-GGUF/resolve/main/functionary-small-v3.2-Q4_K_M.gguf (attempt 1 of 3)...
llama_model_load_from_file_impl: using device CUDA0 (NVIDIA GeForce RTX 4070 Laptop GPU) - 7793 MiB free
llama_model_loader: loaded meta data with 34 key-value pairs and 292 tensors from /root/.cache/llama.cpp/bartowski_functionary-small-v3.2-GGUF_functionary-small-v3.2-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.type str = model
llama_model_loader: - kv 2: general.name str = Meta Llama 3.1 8B Instruct
llama_model_loader: - kv 3: general.version str = v3.2
llama_model_loader: - kv 4: general.organization str = Meta Llama
llama_model_loader: - kv 5: general.finetune str = Instruct
llama_model_loader: - kv 6: general.basename str = Meta-Llama-3.1
llama_model_loader: - kv 7: general.size_label str = 8B
llama_model_loader: - kv 8: general.license str = mit
llama_model_loader: - kv 9: llama.block_count u32 = 32
llama_model_loader: - kv 10: llama.context_length u32 = 131072
llama_model_loader: - kv 11: llama.embedding_length u32 = 4096
llama_model_loader: - kv 12: llama.feed_forward_length u32 = 14336
llama_model_loader: - kv 13: llama.attention.head_count u32 = 32
llama_model_loader: - kv 14: llama.attention.head_count_kv u32 = 8
llama_model_loader: - kv 15: llama.rope.freq_base f32 = 500000.000000
llama_model_loader: - kv 16: llama.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 17: general.file_type u32 = 15
llama_model_loader: - kv 18: llama.vocab_size u32 = 128256
llama_model_loader: - kv 19: llama.rope.dimension_count u32 = 128
llama_model_loader: - kv 20: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 21: tokenizer.ggml.pre str = llama-bpe
llama_model_loader: - kv 22: tokenizer.ggml.tokens arr[str,128256] = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 23: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 24: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "...
llama_model_loader: - kv 25: tokenizer.ggml.bos_token_id u32 = 128000
llama_model_loader: - kv 26: tokenizer.ggml.eos_token_id u32 = 128009
llama_model_loader: - kv 27: tokenizer.ggml.padding_token_id u32 = 128009
llama_model_loader: - kv 28: tokenizer.chat_template str = {% for message in messages %}\n{% if m...
llama_model_loader: - kv 29: general.quantization_version u32 = 2
llama_model_loader: - kv 30: quantize.imatrix.file str = /models_out/functionary-small-v3.2-GG...
llama_model_loader: - kv 31: quantize.imatrix.dataset str = /training_dir/calibration_datav3.txt
llama_model_loader: - kv 32: quantize.imatrix.entries_count i32 = 224
llama_model_loader: - kv 33: quantize.imatrix.chunks_count i32 = 125
llama_model_loader: - type f32: 66 tensors
llama_model_loader: - type q4_K: 193 tensors
llama_model_loader: - type q6_K: 33 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q4_K - Medium
print_info: file size = 4.58 GiB (4.89 BPW)
init_tokenizer: initializing tokenizer for type 2
load: control token: 128254 '<|reserved_special_token_246|>' is not marked as EOG
load: control token: 128249 '<|reserved_special_token_241|>' is not marked as EOG
load: control token: 128246 '<|reserved_special_token_238|>' is not marked as EOG
load: control token: 128243 '<|reserved_special_token_235|>' is not marked as EOG
load: control token: 128242 '<|reserved_special_token_234|>' is not marked as EOG
load: control token: 128241 '<|reserved_special_token_233|>' is not marked as EOG
load: control token: 128240 '<|reserved_special_token_232|>' is not marked as EOG
load: control token: 128235 '<|reserved_special_token_227|>' is not marked as EOG
load: control token: 128231 '<|reserved_special_token_223|>' is not marked as EOG
load: control token: 128230 '<|reserved_special_token_222|>' is not marked as EOG
load: control token: 128228 '<|reserved_special_token_220|>' is not marked as EOG
load: control token: 128225 '<|reserved_special_token_217|>' is not marked as EOG
load: control token: 128218 '<|reserved_special_token_210|>' is not marked as EOG
load: control token: 128214 '<|reserved_special_token_206|>' is not marked as EOG
load: control token: 128213 '<|reserved_special_token_205|>' is not marked as EOG
load: control token: 128207 '<|reserved_special_token_199|>' is not marked as EOG
load: control token: 128206 '<|reserved_special_token_198|>' is not marked as EOG
load: control token: 128204 '<|reserved_special_token_196|>' is not marked as EOG
load: control token: 128200 '<|reserved_special_token_192|>' is not marked as EOG
load: control token: 128199 '<|reserved_special_token_191|>' is not marked as EOG
load: control token: 128198 '<|reserved_special_token_190|>' is not marked as EOG
load: control token: 128196 '<|reserved_special_token_188|>' is not marked as EOG
load: control token: 128194 '<|reserved_special_token_186|>' is not marked as EOG
load: control token: 128193 '<|reserved_special_token_185|>' is not marked as EOG
load: control token: 128188 '<|reserved_special_token_180|>' is not marked as EOG
load: control token: 128187 '<|reserved_special_token_179|>' is not marked as EOG
load: control token: 128185 '<|reserved_special_token_177|>' is not marked as EOG
load: control token: 128184 '<|reserved_special_token_176|>' is not marked as EOG
load: control token: 128180 '<|reserved_special_token_172|>' is not marked as EOG
load: control token: 128179 '<|reserved_special_token_171|>' is not marked as EOG
load: control token: 128178 '<|reserved_special_token_170|>' is not marked as EOG
load: control token: 128177 '<|reserved_special_token_169|>' is not marked as EOG
load: control token: 128176 '<|reserved_special_token_168|>' is not marked as EOG
load: control token: 128175 '<|reserved_special_token_167|>' is not marked as EOG
load: control token: 128171 '<|reserved_special_token_163|>' is not marked as EOG
load: control token: 128170 '<|reserved_special_token_162|>' is not marked as EOG
load: control token: 128169 '<|reserved_special_token_161|>' is not marked as EOG
load: control token: 128168 '<|reserved_special_token_160|>' is not marked as EOG
load: control token: 128165 '<|reserved_special_token_157|>' is not marked as EOG
load: control token: 128162 '<|reserved_special_token_154|>' is not marked as EOG
load: control token: 128158 '<|reserved_special_token_150|>' is not marked as EOG
load: control token: 128156 '<|reserved_special_token_148|>' is not marked as EOG
load: control token: 128155 '<|reserved_special_token_147|>' is not marked as EOG
load: control token: 128154 '<|reserved_special_token_146|>' is not marked as EOG
load: control token: 128151 '<|reserved_special_token_143|>' is not marked as EOG
load: control token: 128149 '<|reserved_special_token_141|>' is not marked as EOG
load: control token: 128147 '<|reserved_special_token_139|>' is not marked as EOG
load: control token: 128146 '<|reserved_special_token_138|>' is not marked as EOG
load: control token: 128144 '<|reserved_special_token_136|>' is not marked as EOG
load: control token: 128142 '<|reserved_special_token_134|>' is not marked as EOG
load: control token: 128141 '<|reserved_special_token_133|>' is not marked as EOG
load: control token: 128138 '<|reserved_special_token_130|>' is not marked as EOG
load: control token: 128136 '<|reserved_special_token_128|>' is not marked as EOG
load: control token: 128135 '<|reserved_special_token_127|>' is not marked as EOG
load: control token: 128134 '<|reserved_special_token_126|>' is not marked as EOG
load: control token: 128133 '<|reserved_special_token_125|>' is not marked as EOG
load: control token: 128131 '<|reserved_special_token_123|>' is not marked as EOG
load: control token: 128128 '<|reserved_special_token_120|>' is not marked as EOG
load: control token: 128124 '<|reserved_special_token_116|>' is not marked as EOG
load: control token: 128123 '<|reserved_special_token_115|>' is not marked as EOG
load: control token: 128122 '<|reserved_special_token_114|>' is not marked as EOG
load: control token: 128119 '<|reserved_special_token_111|>' is not marked as EOG
load: control token: 128115 '<|reserved_special_token_107|>' is not marked as EOG
load: control token: 128112 '<|reserved_special_token_104|>' is not marked as EOG
load: control token: 128110 '<|reserved_special_token_102|>' is not marked as EOG
load: control token: 128109 '<|reserved_special_token_101|>' is not marked as EOG
load: control token: 128108 '<|reserved_special_token_100|>' is not marked as EOG
load: control token: 128106 '<|reserved_special_token_98|>' is not marked as EOG
load: control token: 128103 '<|reserved_special_token_95|>' is not marked as EOG
load: control token: 128102 '<|reserved_special_token_94|>' is not marked as EOG
load: control token: 128101 '<|reserved_special_token_93|>' is not marked as EOG
load: control token: 128097 '<|reserved_special_token_89|>' is not marked as EOG
load: control token: 128091 '<|reserved_special_token_83|>' is not marked as EOG
load: control token: 128090 '<|reserved_special_token_82|>' is not marked as EOG
load: control token: 128089 '<|reserved_special_token_81|>' is not marked as EOG
load: control token: 128087 '<|reserved_special_token_79|>' is not marked as EOG
load: control token: 128085 '<|reserved_special_token_77|>' is not marked as EOG
load: control token: 128081 '<|reserved_special_token_73|>' is not marked as EOG
load: control token: 128078 '<|reserved_special_token_70|>' is not marked as EOG
load: control token: 128076 '<|reserved_special_token_68|>' is not marked as EOG
load: control token: 128075 '<|reserved_special_token_67|>' is not marked as EOG
load: control token: 128073 '<|reserved_special_token_65|>' is not marked as EOG
load: control token: 128068 '<|reserved_special_token_60|>' is not marked as EOG
load: control token: 128067 '<|reserved_special_token_59|>' is not marked as EOG
load: control token: 128065 '<|reserved_special_token_57|>' is not marked as EOG
load: control token: 128063 '<|reserved_special_token_55|>' is not marked as EOG
load: control token: 128062 '<|reserved_special_token_54|>' is not marked as EOG
load: control token: 128060 '<|reserved_special_token_52|>' is not marked as EOG
load: control token: 128059 '<|reserved_special_token_51|>' is not marked as EOG
load: control token: 128057 '<|reserved_special_token_49|>' is not marked as EOG
load: control token: 128054 '<|reserved_special_token_46|>' is not marked as EOG
load: control token: 128046 '<|reserved_special_token_38|>' is not marked as EOG
load: control token: 128045 '<|reserved_special_token_37|>' is not marked as EOG
load: control token: 128044 '<|reserved_special_token_36|>' is not marked as EOG
load: control token: 128043 '<|reserved_special_token_35|>' is not marked as EOG
load: control token: 128038 '<|reserved_special_token_30|>' is not marked as EOG
load: control token: 128036 '<|reserved_special_token_28|>' is not marked as EOG
load: control token: 128035 '<|reserved_special_token_27|>' is not marked as EOG
load: control token: 128032 '<|reserved_special_token_24|>' is not marked as EOG
load: control token: 128028 '<|reserved_special_token_20|>' is not marked as EOG
load: control token: 128027 '<|reserved_special_token_19|>' is not marked as EOG
load: control token: 128024 '<|reserved_special_token_16|>' is not marked as EOG
load: control token: 128023 '<|reserved_special_token_15|>' is not marked as EOG
load: control token: 128022 '<|reserved_special_token_14|>' is not marked as EOG
load: control token: 128021 '<|reserved_special_token_13|>' is not marked as EOG
load: control token: 128018 '<|reserved_special_token_10|>' is not marked as EOG
load: control token: 128016 '<|reserved_special_token_8|>' is not marked as EOG
load: control token: 128015 '<|reserved_special_token_7|>' is not marked as EOG
load: control token: 128013 '<|reserved_special_token_5|>' is not marked as EOG
load: control token: 128011 '<|reserved_special_token_3|>' is not marked as EOG
load: control token: 128005 '<|reserved_special_token_2|>' is not marked as EOG
load: control token: 128004 '<|finetune_right_pad_id|>' is not marked as EOG
load: control token: 128002 '<|reserved_special_token_0|>' is not marked as EOG
load: control token: 128252 '<|reserved_special_token_244|>' is not marked as EOG
load: control token: 128190 '<|reserved_special_token_182|>' is not marked as EOG
load: control token: 128183 '<|reserved_special_token_175|>' is not marked as EOG
load: control token: 128137 '<|reserved_special_token_129|>' is not marked as EOG
load: control token: 128182 '<|reserved_special_token_174|>' is not marked as EOG
load: control token: 128040 '<|reserved_special_token_32|>' is not marked as EOG
load: control token: 128048 '<|reserved_special_token_40|>' is not marked as EOG
load: control token: 128092 '<|reserved_special_token_84|>' is not marked as EOG
load: control token: 128215 '<|reserved_special_token_207|>' is not marked as EOG
load: control token: 128107 '<|reserved_special_token_99|>' is not marked as EOG
load: control token: 128208 '<|reserved_special_token_200|>' is not marked as EOG
load: control token: 128145 '<|reserved_special_token_137|>' is not marked as EOG
load: control token: 128031 '<|reserved_special_token_23|>' is not marked as EOG
load: control token: 128129 '<|reserved_special_token_121|>' is not marked as EOG
load: control token: 128201 '<|reserved_special_token_193|>' is not marked as EOG
load: control token: 128074 '<|reserved_special_token_66|>' is not marked as EOG
load: control token: 128095 '<|reserved_special_token_87|>' is not marked as EOG
load: control token: 128186 '<|reserved_special_token_178|>' is not marked as EOG
load: control token: 128143 '<|reserved_special_token_135|>' is not marked as EOG
load: control token: 128229 '<|reserved_special_token_221|>' is not marked as EOG
load: control token: 128007 '<|end_header_id|>' is not marked as EOG
load: control token: 128055 '<|reserved_special_token_47|>' is not marked as EOG
load: control token: 128056 '<|reserved_special_token_48|>' is not marked as EOG
load: control token: 128061 '<|reserved_special_token_53|>' is not marked as EOG
load: control token: 128153 '<|reserved_special_token_145|>' is not marked as EOG
load: control token: 128152 '<|reserved_special_token_144|>' is not marked as EOG
load: control token: 128212 '<|reserved_special_token_204|>' is not marked as EOG
load: control token: 128172 '<|reserved_special_token_164|>' is not marked as EOG
load: control token: 128160 '<|reserved_special_token_152|>' is not marked as EOG
load: control token: 128041 '<|reserved_special_token_33|>' is not marked as EOG
load: control token: 128181 '<|reserved_special_token_173|>' is not marked as EOG
load: control token: 128094 '<|reserved_special_token_86|>' is not marked as EOG
load: control token: 128118 '<|reserved_special_token_110|>' is not marked as EOG
load: control token: 128236 '<|reserved_special_token_228|>' is not marked as EOG
load: control token: 128148 '<|reserved_special_token_140|>' is not marked as EOG
load: control token: 128042 '<|reserved_special_token_34|>' is not marked as EOG
load: control token: 128139 '<|reserved_special_token_131|>' is not marked as EOG
load: control token: 128173 '<|reserved_special_token_165|>' is not marked as EOG
load: control token: 128239 '<|reserved_special_token_231|>' is not marked as EOG
load: control token: 128157 '<|reserved_special_token_149|>' is not marked as EOG
load: control token: 128052 '<|reserved_special_token_44|>' is not marked as EOG
load: control token: 128026 '<|reserved_special_token_18|>' is not marked as EOG
load: control token: 128003 '<|reserved_special_token_1|>' is not marked as EOG
load: control token: 128019 '<|reserved_special_token_11|>' is not marked as EOG
load: control token: 128116 '<|reserved_special_token_108|>' is not marked as EOG
load: control token: 128161 '<|reserved_special_token_153|>' is not marked as EOG
load: control token: 128226 '<|reserved_special_token_218|>' is not marked as EOG
load: control token: 128159 '<|reserved_special_token_151|>' is not marked as EOG
load: control token: 128012 '<|reserved_special_token_4|>' is not marked as EOG
load: control token: 128088 '<|reserved_special_token_80|>' is not marked as EOG
load: control token: 128163 '<|reserved_special_token_155|>' is not marked as EOG
load: control token: 128001 '<|end_of_text|>' is not marked as EOG
load: control token: 128113 '<|reserved_special_token_105|>' is not marked as EOG
load: control token: 128250 '<|reserved_special_token_242|>' is not marked as EOG
load: control token: 128125 '<|reserved_special_token_117|>' is not marked as EOG
load: control token: 128053 '<|reserved_special_token_45|>' is not marked as EOG
load: control token: 128224 '<|reserved_special_token_216|>' is not marked as EOG
load: control token: 128247 '<|reserved_special_token_239|>' is not marked as EOG
load: control token: 128251 '<|reserved_special_token_243|>' is not marked as EOG
load: control token: 128216 '<|reserved_special_token_208|>' is not marked as EOG
load: control token: 128006 '<|start_header_id|>' is not marked as EOG
load: control token: 128211 '<|reserved_special_token_203|>' is not marked as EOG
load: control token: 128077 '<|reserved_special_token_69|>' is not marked as EOG
load: control token: 128237 '<|reserved_special_token_229|>' is not marked as EOG
load: control token: 128086 '<|reserved_special_token_78|>' is not marked as EOG
load: control token: 128227 '<|reserved_special_token_219|>' is not marked as EOG
load: control token: 128058 '<|reserved_special_token_50|>' is not marked as EOG
load: control token: 128100 '<|reserved_special_token_92|>' is not marked as EOG
load: control token: 128209 '<|reserved_special_token_201|>' is not marked as EOG
load: control token: 128084 '<|reserved_special_token_76|>' is not marked as EOG
load: control token: 128071 '<|reserved_special_token_63|>' is not marked as EOG
load: control token: 128070 '<|reserved_special_token_62|>' is not marked as EOG
load: control token: 128049 '<|reserved_special_token_41|>' is not marked as EOG
load: control token: 128197 '<|reserved_special_token_189|>' is not marked as EOG
load: control token: 128072 '<|reserved_special_token_64|>' is not marked as EOG
load: control token: 128000 '<|begin_of_text|>' is not marked as EOG
load: control token: 128223 '<|reserved_special_token_215|>' is not marked as EOG
load: control token: 128217 '<|reserved_special_token_209|>' is not marked as EOG
load: control token: 128111 '<|reserved_special_token_103|>' is not marked as EOG
load: control token: 128203 '<|reserved_special_token_195|>' is not marked as EOG
load: control token: 128051 '<|reserved_special_token_43|>' is not marked as EOG
load: control token: 128030 '<|reserved_special_token_22|>' is not marked as EOG
load: control token: 128117 '<|reserved_special_token_109|>' is not marked as EOG
load: control token: 128010 '<|python_tag|>' is not marked as EOG
load: control token: 128238 '<|reserved_special_token_230|>' is not marked as EOG
load: control token: 128255 '<|reserved_special_token_247|>' is not marked as EOG
load: control token: 128202 '<|reserved_special_token_194|>' is not marked as EOG
load: control token: 128132 '<|reserved_special_token_124|>' is not marked as EOG
load: control token: 128248 '<|reserved_special_token_240|>' is not marked as EOG
load: control token: 128167 '<|reserved_special_token_159|>' is not marked as EOG
load: control token: 128127 '<|reserved_special_token_119|>' is not marked as EOG
load: control token: 128105 '<|reserved_special_token_97|>' is not marked as EOG
load: control token: 128039 '<|reserved_special_token_31|>' is not marked as EOG
load: control token: 128232 '<|reserved_special_token_224|>' is not marked as EOG
load: control token: 128166 '<|reserved_special_token_158|>' is not marked as EOG
load: control token: 128130 '<|reserved_special_token_122|>' is not marked as EOG
load: control token: 128114 '<|reserved_special_token_106|>' is not marked as EOG
load: control token: 128234 '<|reserved_special_token_226|>' is not marked as EOG
load: control token: 128191 '<|reserved_special_token_183|>' is not marked as EOG
load: control token: 128064 '<|reserved_special_token_56|>' is not marked as EOG
load: control token: 128140 '<|reserved_special_token_132|>' is not marked as EOG
load: control token: 128096 '<|reserved_special_token_88|>' is not marked as EOG
load: control token: 128098 '<|reserved_special_token_90|>' is not marked as EOG
load: control token: 128192 '<|reserved_special_token_184|>' is not marked as EOG
load: control token: 128093 '<|reserved_special_token_85|>' is not marked as EOG
load: control token: 128150 '<|reserved_special_token_142|>' is not marked as EOG
load: control token: 128222 '<|reserved_special_token_214|>' is not marked as EOG
load: control token: 128233 '<|reserved_special_token_225|>' is not marked as EOG
load: control token: 128220 '<|reserved_special_token_212|>' is not marked as EOG
load: control token: 128034 '<|reserved_special_token_26|>' is not marked as EOG
load: control token: 128033 '<|reserved_special_token_25|>' is not marked as EOG
load: control token: 128253 '<|reserved_special_token_245|>' is not marked as EOG
load: control token: 128195 '<|reserved_special_token_187|>' is not marked as EOG
load: control token: 128099 '<|reserved_special_token_91|>' is not marked as EOG
load: control token: 128189 '<|reserved_special_token_181|>' is not marked as EOG
load: control token: 128210 '<|reserved_special_token_202|>' is not marked as EOG
load: control token: 128174 '<|reserved_special_token_166|>' is not marked as EOG
load: control token: 128083 '<|reserved_special_token_75|>' is not marked as EOG
load: control token: 128080 '<|reserved_special_token_72|>' is not marked as EOG
load: control token: 128104 '<|reserved_special_token_96|>' is not marked as EOG
load: control token: 128082 '<|reserved_special_token_74|>' is not marked as EOG
load: control token: 128219 '<|reserved_special_token_211|>' is not marked as EOG
load: control token: 128017 '<|reserved_special_token_9|>' is not marked as EOG
load: control token: 128050 '<|reserved_special_token_42|>' is not marked as EOG
load: control token: 128205 '<|reserved_special_token_197|>' is not marked as EOG
load: control token: 128047 '<|reserved_special_token_39|>' is not marked as EOG
load: control token: 128164 '<|reserved_special_token_156|>' is not marked as EOG
load: control token: 128020 '<|reserved_special_token_12|>' is not marked as EOG
load: control token: 128069 '<|reserved_special_token_61|>' is not marked as EOG
load: control token: 128245 '<|reserved_special_token_237|>' is not marked as EOG
load: control token: 128121 '<|reserved_special_token_113|>' is not marked as EOG
load: control token: 128079 '<|reserved_special_token_71|>' is not marked as EOG
load: control token: 128037 '<|reserved_special_token_29|>' is not marked as EOG
load: control token: 128244 '<|reserved_special_token_236|>' is not marked as EOG
load: control token: 128029 '<|reserved_special_token_21|>' is not marked as EOG
load: control token: 128221 '<|reserved_special_token_213|>' is not marked as EOG
load: control token: 128066 '<|reserved_special_token_58|>' is not marked as EOG
load: control token: 128120 '<|reserved_special_token_112|>' is not marked as EOG
load: control token: 128014 '<|reserved_special_token_6|>' is not marked as EOG
load: control token: 128025 '<|reserved_special_token_17|>' is not marked as EOG
load: control token: 128126 '<|reserved_special_token_118|>' is not marked as EOG
load: special tokens cache size = 256
load: token to piece cache size = 0.7999 MB
print_info: arch = llama
print_info: vocab_only = 0
print_info: n_ctx_train = 131072
print_info: n_embd = 4096
print_info: n_layer = 32
print_info: n_head = 32
print_info: n_head_kv = 8
print_info: n_rot = 128
print_info: n_swa = 0
print_info: n_embd_head_k = 128
print_info: n_embd_head_v = 128
print_info: n_gqa = 4
print_info: n_embd_k_gqa = 1024
print_info: n_embd_v_gqa = 1024
print_info: f_norm_eps = 0.0e+00
print_info: f_norm_rms_eps = 1.0e-05
print_info: f_clamp_kqv = 0.0e+00
print_info: f_max_alibi_bias = 0.0e+00
print_info: f_logit_scale = 0.0e+00
print_info: n_ff = 14336
print_info: n_expert = 0
print_info: n_expert_used = 0
print_info: causal attn = 1
print_info: pooling type = 0
print_info: rope type = 0
print_info: rope scaling = linear
print_info: freq_base_train = 500000.0
print_info: freq_scale_train = 1
print_info: n_ctx_orig_yarn = 131072
print_info: rope_finetuned = unknown
print_info: ssm_d_conv = 0
print_info: ssm_d_inner = 0
print_info: ssm_d_state = 0
print_info: ssm_dt_rank = 0
print_info: ssm_dt_b_c_rms = 0
print_info: model type = 8B
print_info: model params = 8.03 B
print_info: general.name = Meta Llama 3.1 8B Instruct
print_info: vocab type = BPE
print_info: n_vocab = 128256
print_info: n_merges = 280147
print_info: BOS token = 128000 '<|begin_of_text|>'
print_info: EOS token = 128009 '<|eot_id|>'
print_info: EOT token = 128009 '<|eot_id|>'
print_info: EOM token = 128008 '<|eom_id|>'
print_info: PAD token = 128009 '<|eot_id|>'
print_info: LF token = 198 'Ċ'
print_info: EOG token = 128008 '<|eom_id|>'
print_info: EOG token = 128009 '<|eot_id|>'
print_info: max token length = 256
load_tensors: loading model tensors, this can take a while... (mmap = true)
load_tensors: layer 0 assigned to device CPU
load_tensors: layer 1 assigned to device CPU
load_tensors: layer 2 assigned to device CPU
load_tensors: layer 3 assigned to device CPU
load_tensors: layer 4 assigned to device CPU
load_tensors: layer 5 assigned to device CPU
load_tensors: layer 6 assigned to device CPU
load_tensors: layer 7 assigned to device CPU
load_tensors: layer 8 assigned to device CPU
load_tensors: layer 9 assigned to device CPU
load_tensors: layer 10 assigned to device CPU
load_tensors: layer 11 assigned to device CPU
load_tensors: layer 12 assigned to device CPU
load_tensors: layer 13 assigned to device CPU
load_tensors: layer 14 assigned to device CPU
load_tensors: layer 15 assigned to device CPU
load_tensors: layer 16 assigned to device CPU
load_tensors: layer 17 assigned to device CPU
load_tensors: layer 18 assigned to device CPU
load_tensors: layer 19 assigned to device CPU
load_tensors: layer 20 assigned to device CPU
load_tensors: layer 21 assigned to device CPU
load_tensors: layer 22 assigned to device CUDA0
load_tensors: layer 23 assigned to device CUDA0
load_tensors: layer 24 assigned to device CUDA0
load_tensors: layer 25 assigned to device CUDA0
load_tensors: layer 26 assigned to device CUDA0
load_tensors: layer 27 assigned to device CUDA0
load_tensors: layer 28 assigned to device CUDA0
load_tensors: layer 29 assigned to device CUDA0
load_tensors: layer 30 assigned to device CUDA0
load_tensors: layer 31 assigned to device CUDA0
load_tensors: layer 32 assigned to device CPU
load_tensors: tensor 'token_embd.weight' (q4_K) (and 222 others) cannot be used with preferred buffer type CPU_AARCH64, using CPU instead
load_tensors: offloading 10 repeating layers to GPU
load_tensors: offloaded 10/33 layers to GPU
load_tensors: CUDA0 model buffer size = 1263.13 MiB
load_tensors: CPU_Mapped model buffer size = 4685.30 MiB
.......................................................................................
llama_init_from_model: n_seq_max = 1
llama_init_from_model: n_ctx = 131072
llama_init_from_model: n_ctx_per_seq = 131072
llama_init_from_model: n_batch = 2048
llama_init_from_model: n_ubatch = 512
llama_init_from_model: flash_attn = 1
llama_init_from_model: freq_base = 500000.0
llama_init_from_model: freq_scale = 1
llama_kv_cache_init: kv_size = 131072, offload = 1, type_k = 'f16', type_v = 'f16', n_layer = 32, can_shift = 1
llama_kv_cache_init: layer 0: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 1: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 2: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 3: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 4: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 5: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 6: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 7: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 8: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 9: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 10: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 11: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 12: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 13: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 14: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 15: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 16: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 17: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 18: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 19: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 20: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 21: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 22: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 23: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 24: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 25: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 26: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 27: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 28: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 29: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 30: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: layer 31: n_embd_k_gqa = 1024, n_embd_v_gqa = 1024
llama_kv_cache_init: CUDA0 KV buffer size = 5120.00 MiB
llama_kv_cache_init: CPU KV buffer size = 11264.00 MiB
llama_init_from_model: KV self size = 16384.00 MiB, K (f16): 8192.00 MiB, V (f16): 8192.00 MiB
llama_init_from_model: CPU output buffer size = 0.49 MiB
llama_init_from_model: CUDA0 compute buffer size = 920.00 MiB
llama_init_from_model: CUDA_Host compute buffer size = 264.01 MiB
llama_init_from_model: graph nodes = 903
llama_init_from_model: graph splits = 247 (with bs=512), 3 (with bs=1)
common_init_from_params: setting dry_penalty_last_n to ctx_size = 131072
common_init_from_params: warming up the model with an empty run - please wait ... (--no-warmup to disable)
srv init: initializing slots, n_slots = 1
slot init: id 0 | task -1 | new slot n_ctx_slot = 131072
slot reset: id 0 | task -1 |
main: model loaded
main: chat template, chat_template: {% for message in messages %}
{% if message['role'] == 'user' or message['role'] == 'system' %}
{{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>
' + message['content'] + '<|eot_id|>' }}{% elif message['role'] == 'tool' %}
{{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>
' + message['content'] + '<|eot_id|>' }}{% else %}
{{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>
'}}{% if message['content'] is not none %}
{{ '>>>all
' + message['content'] }}{% endif %}
{% if 'tool_calls' in message and message['tool_calls'] is not none %}
{% for tool_call in message['tool_calls'] %}
{{ '>>>' + tool_call['function']['name'] + '
' + tool_call['function']['arguments'] }}{% endfor %}
{% endif %}
{{ '<|eot_id|>' }}{% endif %}
{% endfor %}
{% if add_generation_prompt %}{{ '<|start_header_id|>{role}<|end_header_id|>
' }}{% endif %}, example_format: '<|start_header_id|>system<|end_header_id|>
You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
Hello<|eot_id|><|start_header_id|>assistant<|end_header_id|>
>>>all
Hi there<|eot_id|><|start_header_id|>user<|end_header_id|>
How are you?<|eot_id|><|start_header_id|>{role}<|end_header_id|>
'
main: server is listening on http://0.0.0.0:8080 - starting the main loop
que start_loop: processing new tasks
que start_loop: update slots
srv update_slots: all slots are idle
srv kv_cache_cle: clearing KV cache
que start_loop: waiting for new tasks
request: {
"model": "gpt-3.5-turbo",
"tools": [
{
"type":"function",
"function":{
"name":"python",
"description":"Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.",
"parameters":{
"type":"object",
"properties":{
"code":{
"type":"string",
"description":"The code to run in the ipython interpreter."
}
},
"required":["code"]
}
}
}
],
"messages": [
{
"role": "user",
"content": "Hi"
}
]
}
Template supports tool calls but does not natively describe tools. The fallback behaviour used may produce bad results, inspect prompt w/ --verbose & consider overriding the template.
srv params_from_: Grammar: char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
first-tool-call ::= python-call
python-args ::= "{" space python-args-code-kv "}" space
python-args-code-kv ::= "\"code\"" space ":" space string
python-call ::= "python\n" python-args
python-call2 ::= ">>>python\n" python-args
root ::= first-tool-call space
space ::= | " " | "\n" [ \t]{0,20}
string ::= "\"" char* "\"" space
srv params_from_: Grammar lazy: true
srv params_from_: Chat format: Functionary v3.2
srv params_from_: Grammar trigger token: 12958 (`python`)
srv params_from_: Grammar trigger word: `>>>python`
srv add_waiting_: add task 0 to waiting list. current waiting = 0 (before add)
que post: new task, id = 0/1, front = 0
que start_loop: processing new tasks
que start_loop: processing task, id = 0
slot get_availabl: id 0 | task -1 | selected slot by lru, t_last = -1
slot reset: id 0 | task -1 |
slot launch_slot_: id 0 | task 0 | launching slot : {"id":0,"id_task":0,"n_ctx":131072,"speculative":false,"is_processing":false,"non_causal":false,"params":{"n_predict":-1,"seed":4294967295,"temperature":0.800000011920929,"dynatemp_range":0.0,"dynatemp_exponent":1.0,"top_k":40,"top_p":0.949999988079071,"min_p":0.05000000074505806,"xtc_probability":0.0,"xtc_threshold":0.10000000149011612,"typical_p":1.0,"repeat_last_n":64,"repeat_penalty":1.0,"presence_penalty":0.0,"frequency_penalty":0.0,"dry_multiplier":0.0,"dry_base":1.75,"dry_allowed_length":2,"dry_penalty_last_n":131072,"dry_sequence_breakers":["\n",":","\"","*"],"mirostat":0,"mirostat_tau":5.0,"mirostat_eta":0.10000000149011612,"stop":[],"max_tokens":-1,"n_keep":0,"n_discard":0,"ignore_eos":false,"stream":false,"logit_bias":[],"n_probs":0,"min_keep":0,"grammar":"char ::= [^\"\\\\\\x7F\\x00-\\x1F] | [\\\\] ([\"\\\\bfnrt] | \"u\" [0-9a-fA-F]{4})\nfirst-tool-call ::= python-call\npython-args ::= \"{\" space python-args-code-kv \"}\" space\npython-args-code-kv ::= \"\\\"code\\\"\" space \":\" space string\npython-call ::= \"python\\n\" python-args\npython-call2 ::= \">>>python\\n\" python-args\nroot ::= first-tool-call space\nspace ::= | \" \" | \"\\n\" [ \\t]{0,20}\nstring ::= \"\\\"\" char* \"\\\"\" space\n","grammar_trigger_words":[">>>python"],"grammar_trigger_tokens":[12958],"preserved_tokens":[12958],"chat_format":"Functionary v3.2","samplers":["penalties","dry","top_k","typ_p","top_p","min_p","xtc","temperature"],"speculative.n_max":16,"speculative.n_min":0,"speculative.p_min":0.75,"timings_per_token":false,"post_sampling_probs":false,"lora":[]},"prompt":"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou can call any of the following tools to satisfy the user's requests: [\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"python\",\n \"description\": \"Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.\",\n \"parameters\": {\n \"type\": \"object\",\n \"properties\": {\n \"code\": {\n \"type\": \"string\",\n \"description\": \"The code to run in the ipython interpreter.\"\n }\n },\n \"required\": [\n \"code\"\n ]\n }\n }\n }\n]\n\nExample tool call syntax:\n\nassistant<|end_header_id|>\n\n>>>tool_name\n{\"arg1\": \"some_value\"}<|eot_id|>\n\n<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nHi<|eot_id|><|start_header_id|>{role}<|end_header_id|>\n\n","next_token":{"has_next_token":true,"has_new_line":false,"n_remain":-1,"n_decoded":0,"stopping_word":""}}
slot launch_slot_: id 0 | task 0 | processing task
que start_loop: update slots
srv update_slots: posting NEXT_RESPONSE
que post: new task, id = 1, front = 0
slot update_slots: id 0 | task 0 | new prompt, n_ctx_slot = 131072, n_keep = 0, n_prompt_tokens = 167
slot update_slots: id 0 | task 0 | prompt token 0: 128000 '<|begin_of_text|>'
slot update_slots: id 0 | task 0 | prompt token 1: 128006 '<|start_header_id|>'
slot update_slots: id 0 | task 0 | prompt token 2: 9125 'system'
slot update_slots: id 0 | task 0 | prompt token 3: 128007 '<|end_header_id|>'
slot update_slots: id 0 | task 0 | prompt token 4: 271 '
'
slot update_slots: id 0 | task 0 | prompt token 5: 2675 'You'
slot update_slots: id 0 | task 0 | prompt token 6: 649 ' can'
slot update_slots: id 0 | task 0 | prompt token 7: 1650 ' call'
slot update_slots: id 0 | task 0 | prompt token 8: 904 ' any'
slot update_slots: id 0 | task 0 | prompt token 9: 315 ' of'
slot update_slots: id 0 | task 0 | prompt token 10: 279 ' the'
slot update_slots: id 0 | task 0 | prompt token 11: 2768 ' following'
slot update_slots: id 0 | task 0 | prompt token 12: 7526 ' tools'
slot update_slots: id 0 | task 0 | prompt token 13: 311 ' to'
slot update_slots: id 0 | task 0 | prompt token 14: 27651 ' satisfy'
slot update_slots: id 0 | task 0 | prompt token 15: 279 ' the'
slot update_slots: id 0 | task 0 | kv cache rm [0, end)
slot update_slots: id 0 | task 0 | prompt processing progress, n_past = 167, n_tokens = 167, progress = 1.000000
slot update_slots: id 0 | task 0 | prompt done, n_past = 167, n_tokens = 167
srv update_slots: decoding batch, n_tokens = 167
Grammar still awaiting trigger after token 78191 (`assistant`)
slot process_toke: id 0 | task 0 | n_decoded = 1, n_remaining = -1, next token: 78191 'assistant'
srv update_slots: run slots completed
que start_loop: waiting for new tasks
que start_loop: processing new tasks
que start_loop: processing task, id = 1
que start_loop: update slots
srv update_slots: posting NEXT_RESPONSE
que post: new task, id = 2, front = 0
slot update_slots: id 0 | task 0 | slot decode token, n_ctx = 131072, n_past = 168, n_cache_tokens = 168, truncated = 0
srv update_slots: decoding batch, n_tokens = 1
Grammar still awaiting trigger after token 198 (`
`)
slot process_toke: id 0 | task 0 | n_decoded = 2, n_remaining = -1, next token: 198 '
'
srv update_slots: run slots completed
que start_loop: waiting for new tasks
que start_loop: processing new tasks
que start_loop: processing task, id = 2
que start_loop: update slots
srv update_slots: posting NEXT_RESPONSE
que post: new task, id = 3, front = 0
slot update_slots: id 0 | task 0 | slot decode token, n_ctx = 131072, n_past = 169, n_cache_tokens = 169, truncated = 0
srv update_slots: decoding batch, n_tokens = 1
Grammar still awaiting trigger after token 9906 (`Hello`)
slot process_toke: id 0 | task 0 | n_decoded = 3, n_remaining = -1, next token: 9906 'Hello'
srv update_slots: run slots completed
que start_loop: waiting for new tasks
que start_loop: processing new tasks
que start_loop: processing task, id = 3
que start_loop: update slots
srv update_slots: posting NEXT_RESPONSE
que post: new task, id = 4, front = 0
slot update_slots: id 0 | task 0 | slot decode token, n_ctx = 131072, n_past = 170, n_cache_tokens = 170, truncated = 0
srv update_slots: decoding batch, n_tokens = 1
Grammar still awaiting trigger after token 0 (`!`)
slot process_toke: id 0 | task 0 | n_decoded = 4, n_remaining = -1, next token: 0 '!'
srv update_slots: run slots completed
que start_loop: waiting for new tasks
que start_loop: processing new tasks
que start_loop: processing task, id = 4
que start_loop: update slots
srv update_slots: posting NEXT_RESPONSE
que post: new task, id = 5, front = 0
slot update_slots: id 0 | task 0 | slot decode token, n_ctx = 131072, n_past = 171, n_cache_tokens = 171, truncated = 0
srv update_slots: decoding batch, n_tokens = 1
Grammar still awaiting trigger after token 2650 (` How`)
slot process_toke: id 0 | task 0 | n_decoded = 5, n_remaining = -1, next token: 2650 ' How'
srv update_slots: run slots completed
que start_loop: waiting for new tasks
que start_loop: processing new tasks
que start_loop: processing task, id = 5
que start_loop: update slots
srv update_slots: posting NEXT_RESPONSE
que post: new task, id = 6, front = 0
slot update_slots: id 0 | task 0 | slot decode token, n_ctx = 131072, n_past = 172, n_cache_tokens = 172, truncated = 0
srv update_slots: decoding batch, n_tokens = 1
Grammar still awaiting trigger after token 649 (` can`)
slot process_toke: id 0 | task 0 | n_decoded = 6, n_remaining = -1, next token: 649 ' can'
srv update_slots: run slots completed
que start_loop: waiting for new tasks
que start_loop: processing new tasks
que start_loop: processing task, id = 6
que start_loop: update slots
srv update_slots: posting NEXT_RESPONSE
que post: new task, id = 7, front = 0
slot update_slots: id 0 | task 0 | slot decode token, n_ctx = 131072, n_past = 173, n_cache_tokens = 173, truncated = 0
srv update_slots: decoding batch, n_tokens = 1
Grammar still awaiting trigger after token 358 (` I`)
slot process_toke: id 0 | task 0 | n_decoded = 7, n_remaining = -1, next token: 358 ' I'
srv update_slots: run slots completed
que start_loop: waiting for new tasks
que start_loop: processing new tasks
que start_loop: processing task, id = 7
que start_loop: update slots
srv update_slots: posting NEXT_RESPONSE
que post: new task, id = 8, front = 0
slot update_slots: id 0 | task 0 | slot decode token, n_ctx = 131072, n_past = 174, n_cache_tokens = 174, truncated = 0
srv update_slots: decoding batch, n_tokens = 1
Grammar still awaiting trigger after token 7945 (` assist`)
slot process_toke: id 0 | task 0 | n_decoded = 8, n_remaining = -1, next token: 7945 ' assist'
srv update_slots: run slots completed
que start_loop: waiting for new tasks
que start_loop: processing new tasks
que start_loop: processing task, id = 8
que start_loop: update slots
srv update_slots: posting NEXT_RESPONSE
que post: new task, id = 9, front = 0
slot update_slots: id 0 | task 0 | slot decode token, n_ctx = 131072, n_past = 175, n_cache_tokens = 175, truncated = 0
srv update_slots: decoding batch, n_tokens = 1
Grammar still awaiting trigger after token 499 (` you`)
slot process_toke: id 0 | task 0 | n_decoded = 9, n_remaining = -1, next token: 499 ' you'
srv update_slots: run slots completed
que start_loop: waiting for new tasks
que start_loop: processing new tasks
que start_loop: processing task, id = 9
que start_loop: update slots
srv update_slots: posting NEXT_RESPONSE
que post: new task, id = 10, front = 0
slot update_slots: id 0 | task 0 | slot decode token, n_ctx = 131072, n_past = 176, n_cache_tokens = 176, truncated = 0
srv update_slots: decoding batch, n_tokens = 1
Grammar still awaiting trigger after token 3432 (` today`)
slot process_toke: id 0 | task 0 | n_decoded = 10, n_remaining = -1, next token: 3432 ' today'
srv update_slots: run slots completed
que start_loop: waiting for new tasks
que start_loop: processing new tasks
que start_loop: processing task, id = 10
que start_loop: update slots
srv update_slots: posting NEXT_RESPONSE
que post: new task, id = 11, front = 0
slot update_slots: id 0 | task 0 | slot decode token, n_ctx = 131072, n_past = 177, n_cache_tokens = 177, truncated = 0
srv update_slots: decoding batch, n_tokens = 1
Grammar still awaiting trigger after token 30 (`?`)
slot process_toke: id 0 | task 0 | n_decoded = 11, n_remaining = -1, next token: 30 '?'
srv update_slots: run slots completed
que start_loop: waiting for new tasks
que start_loop: processing new tasks
que start_loop: processing task, id = 11
que start_loop: update slots
srv update_slots: posting NEXT_RESPONSE
que post: new task, id = 12, front = 0
slot update_slots: id 0 | task 0 | slot decode token, n_ctx = 131072, n_past = 178, n_cache_tokens = 178, truncated = 0
srv update_slots: decoding batch, n_tokens = 1
Grammar still awaiting trigger after token 128009 (`<|eot_id|>`)
slot process_toke: id 0 | task 0 | stopped by EOS
slot process_toke: id 0 | task 0 | n_decoded = 12, n_remaining = -1, next token: 128009 ''
slot release: id 0 | task 0 | stop processing: n_past = 178, truncated = 0
slot print_timing: id 0 | task 0 |
prompt eval time = 352.32 ms / 167 tokens ( 2.11 ms per token, 474.00 tokens per second)
eval time = 656.33 ms / 12 tokens ( 54.69 ms per token, 18.28 tokens per second)
total time = 1008.65 ms / 179 tokens
srv send: sending result for task id = 0
srv send: task id = 0 pushed to result queue
srv update_slots: run slots completed
que start_loop: waiting for new tasks
que start_loop: processing new tasks
que start_loop: processing task, id = 12
que start_loop: update slots
srv update_slots: all slots are idle
que start_loop: waiting for new tasks
srv to_json_oaic: Parsing chat message: assistant
Hello! How can I assist you today?
Failed to parse functionary v3.2 input: Failed to parse json tool call arguments: assistant
Hello! How can I assist you today?
srv remove_waiti: remove task 0 from waiting list. current waiting = 1 (before remove)
srv log_server_r: request: POST /v1/chat/completions 172.17.0.1 200
srv log_server_r: request: {
"model": "gpt-3.5-turbo",
"tools": [
{
"type":"function",
"function":{
"name":"python",
"description":"Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.",
"parameters":{
"type":"object",
"properties":{
"code":{
"type":"string",
"description":"The code to run in the ipython interpreter."
}
},
"required":["code"]
}
}
}
],
"messages": [
{
"role": "user",
"content": "Hi"
}
]
}
srv log_server_r: response: {"choices":[{"finish_reason":"stop","index":0,"message":{"role":"assistant","content":"assistant\nHello! How can I assist you today?"}}],"created":1741214074,"model":"gpt-3.5-turbo","system_fingerprint":"b4783-a800ae46","object":"chat.completion","usage":{"completion_tokens":12,"prompt_tokens":167,"total_tokens":179},"id":"chatcmpl-mjWGBGon48tiZPymyQkXF1obPF9DKskh","__verbose":{"index":0,"content":"assistant\nHello! How can I assist you today?","tokens":[],"id_slot":0,"stop":true,"model":"gpt-3.5-turbo","tokens_predicted":12,"tokens_evaluated":167,"generation_settings":{"n_predict":-1,"seed":4294967295,"temperature":0.800000011920929,"dynatemp_range":0.0,"dynatemp_exponent":1.0,"top_k":40,"top_p":0.949999988079071,"min_p":0.05000000074505806,"xtc_probability":0.0,"xtc_threshold":0.10000000149011612,"typical_p":1.0,"repeat_last_n":64,"repeat_penalty":1.0,"presence_penalty":0.0,"frequency_penalty":0.0,"dry_multiplier":0.0,"dry_base":1.75,"dry_allowed_length":2,"dry_penalty_last_n":131072,"dry_sequence_breakers":["\n",":","\"","*"],"mirostat":0,"mirostat_tau":5.0,"mirostat_eta":0.10000000149011612,"stop":[],"max_tokens":-1,"n_keep":0,"n_discard":0,"ignore_eos":false,"stream":false,"logit_bias":[],"n_probs":0,"min_keep":0,"grammar":"char ::= [^\"\\\\\\x7F\\x00-\\x1F] | [\\\\] ([\"\\\\bfnrt] | \"u\" [0-9a-fA-F]{4})\nfirst-tool-call ::= python-call\npython-args ::= \"{\" space python-args-code-kv \"}\" space\npython-args-code-kv ::= \"\\\"code\\\"\" space \":\" space string\npython-call ::= \"python\\n\" python-args\npython-call2 ::= \">>>python\\n\" python-args\nroot ::= first-tool-call space\nspace ::= | \" \" | \"\\n\" [ \\t]{0,20}\nstring ::= \"\\\"\" char* \"\\\"\" space\n","grammar_trigger_words":[">>>python"],"grammar_trigger_tokens":[12958],"preserved_tokens":[12958],"chat_format":"Functionary v3.2","samplers":["penalties","dry","top_k","typ_p","top_p","min_p","xtc","temperature"],"speculative.n_max":16,"speculative.n_min":0,"speculative.p_min":0.75,"timings_per_token":false,"post_sampling_probs":false,"lora":[]},"prompt":"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou can call any of the following tools to satisfy the user's requests: [\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"python\",\n \"description\": \"Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.\",\n \"parameters\": {\n \"type\": \"object\",\n \"properties\": {\n \"code\": {\n \"type\": \"string\",\n \"description\": \"The code to run in the ipython interpreter.\"\n }\n },\n \"required\": [\n \"code\"\n ]\n }\n }\n }\n]\n\nExample tool call syntax:\n\nassistant<|end_header_id|>\n\n>>>tool_name\n{\"arg1\": \"some_value\"}<|eot_id|>\n\n<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nHi<|eot_id|><|start_header_id|>{role}<|end_header_id|>\n\n","has_new_line":true,"truncated":false,"stop_type":"eos","stopping_word":"","tokens_cached":178,"timings":{"prompt_n":167,"prompt_ms":352.317,"prompt_per_token_ms":2.109682634730539,"prompt_per_second":474.00494441085726,"predicted_n":12,"predicted_ms":656.331,"predicted_per_token_ms":54.694250000000004,"predicted_per_second":18.283457584663836}},"timings":{"prompt_n":167,"prompt_ms":352.317,"prompt_per_token_ms":2.109682634730539,"prompt_per_second":474.00494441085726,"predicted_n":12,"predicted_ms":656.331,"predicted_per_token_ms":54.694250000000004,"predicted_per_second":18.283457584663836}}