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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"llama_model_loader: loaded meta data with 30 key-value pairs and 147 tensors from /home/robert/.cache/huggingface/hub/models--Robzy--Llama-3.2-1B-Instruct-Finetuned-q4_k_m/snapshots/49dc2f37761bb04ce3513b70087676029ccd4f20/./unsloth.Q4_K_M.gguf (version GGUF V3 (latest))\n",
"llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.\n",
"llama_model_loader: - kv 0: general.architecture str = llama\n",
"llama_model_loader: - kv 1: general.type str = model\n",
"llama_model_loader: - kv 2: general.name str = Llama 3.2 1b Instruct Bnb 4bit\n",
"llama_model_loader: - kv 3: general.organization str = Unsloth\n",
"llama_model_loader: - kv 4: general.finetune str = instruct-bnb-4bit\n",
"llama_model_loader: - kv 5: general.basename str = llama-3.2\n",
"llama_model_loader: - kv 6: general.size_label str = 1B\n",
"llama_model_loader: - kv 7: llama.block_count u32 = 16\n",
"llama_model_loader: - kv 8: llama.context_length u32 = 131072\n",
"llama_model_loader: - kv 9: llama.embedding_length u32 = 2048\n",
"llama_model_loader: - kv 10: llama.feed_forward_length u32 = 8192\n",
"llama_model_loader: - kv 11: llama.attention.head_count u32 = 32\n",
"llama_model_loader: - kv 12: llama.attention.head_count_kv u32 = 8\n",
"llama_model_loader: - kv 13: llama.rope.freq_base f32 = 500000.000000\n",
"llama_model_loader: - kv 14: llama.attention.layer_norm_rms_epsilon f32 = 0.000010\n",
"llama_model_loader: - kv 15: llama.attention.key_length u32 = 64\n",
"llama_model_loader: - kv 16: llama.attention.value_length u32 = 64\n",
"llama_model_loader: - kv 17: general.file_type u32 = 15\n",
"llama_model_loader: - kv 18: llama.vocab_size u32 = 128256\n",
"llama_model_loader: - kv 19: llama.rope.dimension_count u32 = 64\n",
"llama_model_loader: - kv 20: tokenizer.ggml.model str = gpt2\n",
"llama_model_loader: - kv 21: tokenizer.ggml.pre str = llama-bpe\n",
"llama_model_loader: - kv 22: tokenizer.ggml.tokens arr[str,128256] = [\"!\", \"\\\"\", \"#\", \"$\", \"%\", \"&\", \"'\", ...\n",
"llama_model_loader: - kv 23: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...\n",
"llama_model_loader: - kv 24: tokenizer.ggml.merges arr[str,280147] = [\"Ġ Ġ\", \"Ġ ĠĠĠ\", \"ĠĠ ĠĠ\", \"...\n",
"llama_model_loader: - kv 25: tokenizer.ggml.bos_token_id u32 = 128000\n",
"llama_model_loader: - kv 26: tokenizer.ggml.eos_token_id u32 = 128009\n",
"llama_model_loader: - kv 27: tokenizer.ggml.padding_token_id u32 = 128004\n",
"llama_model_loader: - kv 28: tokenizer.chat_template str = {{- bos_token }}\\n{%- if custom_tools ...\n",
"llama_model_loader: - kv 29: general.quantization_version u32 = 2\n",
"llama_model_loader: - type f32: 34 tensors\n",
"llama_model_loader: - type q4_K: 96 tensors\n",
"llama_model_loader: - type q6_K: 17 tensors\n",
"llm_load_vocab: control token: 128254 '<|reserved_special_token_246|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128249 '<|reserved_special_token_241|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128246 '<|reserved_special_token_238|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128243 '<|reserved_special_token_235|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128242 '<|reserved_special_token_234|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128241 '<|reserved_special_token_233|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128240 '<|reserved_special_token_232|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128235 '<|reserved_special_token_227|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128231 '<|reserved_special_token_223|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128230 '<|reserved_special_token_222|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128228 '<|reserved_special_token_220|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128225 '<|reserved_special_token_217|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128218 '<|reserved_special_token_210|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128214 '<|reserved_special_token_206|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128213 '<|reserved_special_token_205|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128207 '<|reserved_special_token_199|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128206 '<|reserved_special_token_198|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128204 '<|reserved_special_token_196|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128200 '<|reserved_special_token_192|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128199 '<|reserved_special_token_191|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128198 '<|reserved_special_token_190|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128196 '<|reserved_special_token_188|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128194 '<|reserved_special_token_186|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128193 '<|reserved_special_token_185|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128188 '<|reserved_special_token_180|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128187 '<|reserved_special_token_179|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128185 '<|reserved_special_token_177|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128184 '<|reserved_special_token_176|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128180 '<|reserved_special_token_172|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128179 '<|reserved_special_token_171|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128178 '<|reserved_special_token_170|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128177 '<|reserved_special_token_169|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128176 '<|reserved_special_token_168|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128175 '<|reserved_special_token_167|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128171 '<|reserved_special_token_163|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128170 '<|reserved_special_token_162|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128169 '<|reserved_special_token_161|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128168 '<|reserved_special_token_160|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128165 '<|reserved_special_token_157|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128162 '<|reserved_special_token_154|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128158 '<|reserved_special_token_150|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128156 '<|reserved_special_token_148|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128155 '<|reserved_special_token_147|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128154 '<|reserved_special_token_146|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128151 '<|reserved_special_token_143|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128149 '<|reserved_special_token_141|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128147 '<|reserved_special_token_139|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128146 '<|reserved_special_token_138|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128144 '<|reserved_special_token_136|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128142 '<|reserved_special_token_134|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128141 '<|reserved_special_token_133|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128138 '<|reserved_special_token_130|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128136 '<|reserved_special_token_128|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128135 '<|reserved_special_token_127|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128134 '<|reserved_special_token_126|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128133 '<|reserved_special_token_125|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128131 '<|reserved_special_token_123|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128128 '<|reserved_special_token_120|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128124 '<|reserved_special_token_116|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128123 '<|reserved_special_token_115|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128122 '<|reserved_special_token_114|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128119 '<|reserved_special_token_111|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128115 '<|reserved_special_token_107|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128112 '<|reserved_special_token_104|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128110 '<|reserved_special_token_102|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128109 '<|reserved_special_token_101|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128108 '<|reserved_special_token_100|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128106 '<|reserved_special_token_98|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128103 '<|reserved_special_token_95|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128102 '<|reserved_special_token_94|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128101 '<|reserved_special_token_93|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128097 '<|reserved_special_token_89|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128091 '<|reserved_special_token_83|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128090 '<|reserved_special_token_82|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128089 '<|reserved_special_token_81|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128087 '<|reserved_special_token_79|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128085 '<|reserved_special_token_77|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128081 '<|reserved_special_token_73|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128078 '<|reserved_special_token_70|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128076 '<|reserved_special_token_68|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128075 '<|reserved_special_token_67|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128073 '<|reserved_special_token_65|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128068 '<|reserved_special_token_60|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128067 '<|reserved_special_token_59|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128065 '<|reserved_special_token_57|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128063 '<|reserved_special_token_55|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128062 '<|reserved_special_token_54|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128060 '<|reserved_special_token_52|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128059 '<|reserved_special_token_51|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128057 '<|reserved_special_token_49|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128054 '<|reserved_special_token_46|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128046 '<|reserved_special_token_38|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128045 '<|reserved_special_token_37|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128044 '<|reserved_special_token_36|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128043 '<|reserved_special_token_35|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128038 '<|reserved_special_token_30|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128036 '<|reserved_special_token_28|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128035 '<|reserved_special_token_27|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128032 '<|reserved_special_token_24|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128028 '<|reserved_special_token_20|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128027 '<|reserved_special_token_19|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128024 '<|reserved_special_token_16|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128023 '<|reserved_special_token_15|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128022 '<|reserved_special_token_14|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128021 '<|reserved_special_token_13|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128018 '<|reserved_special_token_10|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128016 '<|reserved_special_token_8|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128015 '<|reserved_special_token_7|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128013 '<|reserved_special_token_5|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128011 '<|reserved_special_token_3|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128005 '<|reserved_special_token_2|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128004 '<|finetune_right_pad_id|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128002 '<|reserved_special_token_0|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128252 '<|reserved_special_token_244|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128190 '<|reserved_special_token_182|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128183 '<|reserved_special_token_175|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128137 '<|reserved_special_token_129|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128182 '<|reserved_special_token_174|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128040 '<|reserved_special_token_32|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128048 '<|reserved_special_token_40|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128092 '<|reserved_special_token_84|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128215 '<|reserved_special_token_207|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128107 '<|reserved_special_token_99|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128208 '<|reserved_special_token_200|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128145 '<|reserved_special_token_137|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128031 '<|reserved_special_token_23|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128129 '<|reserved_special_token_121|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128201 '<|reserved_special_token_193|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128074 '<|reserved_special_token_66|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128095 '<|reserved_special_token_87|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128186 '<|reserved_special_token_178|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128143 '<|reserved_special_token_135|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128229 '<|reserved_special_token_221|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128007 '<|end_header_id|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128055 '<|reserved_special_token_47|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128056 '<|reserved_special_token_48|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128061 '<|reserved_special_token_53|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128153 '<|reserved_special_token_145|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128152 '<|reserved_special_token_144|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128212 '<|reserved_special_token_204|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128172 '<|reserved_special_token_164|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128160 '<|reserved_special_token_152|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128041 '<|reserved_special_token_33|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128181 '<|reserved_special_token_173|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128094 '<|reserved_special_token_86|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128118 '<|reserved_special_token_110|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128236 '<|reserved_special_token_228|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128148 '<|reserved_special_token_140|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128042 '<|reserved_special_token_34|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128139 '<|reserved_special_token_131|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128173 '<|reserved_special_token_165|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128239 '<|reserved_special_token_231|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128157 '<|reserved_special_token_149|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128052 '<|reserved_special_token_44|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128026 '<|reserved_special_token_18|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128003 '<|reserved_special_token_1|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128019 '<|reserved_special_token_11|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128116 '<|reserved_special_token_108|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128161 '<|reserved_special_token_153|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128226 '<|reserved_special_token_218|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128159 '<|reserved_special_token_151|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128012 '<|reserved_special_token_4|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128088 '<|reserved_special_token_80|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128163 '<|reserved_special_token_155|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128001 '<|end_of_text|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128113 '<|reserved_special_token_105|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128250 '<|reserved_special_token_242|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128125 '<|reserved_special_token_117|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128053 '<|reserved_special_token_45|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128224 '<|reserved_special_token_216|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128247 '<|reserved_special_token_239|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128251 '<|reserved_special_token_243|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128216 '<|reserved_special_token_208|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128006 '<|start_header_id|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128211 '<|reserved_special_token_203|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128077 '<|reserved_special_token_69|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128237 '<|reserved_special_token_229|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128086 '<|reserved_special_token_78|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128227 '<|reserved_special_token_219|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128058 '<|reserved_special_token_50|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128100 '<|reserved_special_token_92|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128209 '<|reserved_special_token_201|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128084 '<|reserved_special_token_76|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128071 '<|reserved_special_token_63|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128070 '<|reserved_special_token_62|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128049 '<|reserved_special_token_41|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128197 '<|reserved_special_token_189|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128072 '<|reserved_special_token_64|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128000 '<|begin_of_text|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128223 '<|reserved_special_token_215|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128217 '<|reserved_special_token_209|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128111 '<|reserved_special_token_103|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128203 '<|reserved_special_token_195|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128051 '<|reserved_special_token_43|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128030 '<|reserved_special_token_22|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128117 '<|reserved_special_token_109|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128010 '<|python_tag|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128238 '<|reserved_special_token_230|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128255 '<|reserved_special_token_247|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128202 '<|reserved_special_token_194|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128132 '<|reserved_special_token_124|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128248 '<|reserved_special_token_240|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128167 '<|reserved_special_token_159|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128127 '<|reserved_special_token_119|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128105 '<|reserved_special_token_97|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128039 '<|reserved_special_token_31|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128232 '<|reserved_special_token_224|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128166 '<|reserved_special_token_158|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128130 '<|reserved_special_token_122|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128114 '<|reserved_special_token_106|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128234 '<|reserved_special_token_226|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128191 '<|reserved_special_token_183|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128064 '<|reserved_special_token_56|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128140 '<|reserved_special_token_132|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128096 '<|reserved_special_token_88|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128098 '<|reserved_special_token_90|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128192 '<|reserved_special_token_184|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128093 '<|reserved_special_token_85|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128150 '<|reserved_special_token_142|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128222 '<|reserved_special_token_214|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128233 '<|reserved_special_token_225|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128220 '<|reserved_special_token_212|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128034 '<|reserved_special_token_26|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128033 '<|reserved_special_token_25|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128253 '<|reserved_special_token_245|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128195 '<|reserved_special_token_187|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128099 '<|reserved_special_token_91|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128189 '<|reserved_special_token_181|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128210 '<|reserved_special_token_202|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128174 '<|reserved_special_token_166|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128083 '<|reserved_special_token_75|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128080 '<|reserved_special_token_72|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128104 '<|reserved_special_token_96|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128082 '<|reserved_special_token_74|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128219 '<|reserved_special_token_211|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128017 '<|reserved_special_token_9|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128050 '<|reserved_special_token_42|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128205 '<|reserved_special_token_197|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128047 '<|reserved_special_token_39|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128164 '<|reserved_special_token_156|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128020 '<|reserved_special_token_12|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128069 '<|reserved_special_token_61|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128245 '<|reserved_special_token_237|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128121 '<|reserved_special_token_113|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128079 '<|reserved_special_token_71|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128037 '<|reserved_special_token_29|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128244 '<|reserved_special_token_236|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128029 '<|reserved_special_token_21|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128221 '<|reserved_special_token_213|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128066 '<|reserved_special_token_58|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128120 '<|reserved_special_token_112|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128014 '<|reserved_special_token_6|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128025 '<|reserved_special_token_17|>' is not marked as EOG\n",
"llm_load_vocab: control token: 128126 '<|reserved_special_token_118|>' is not marked as EOG\n",
"llm_load_vocab: special tokens cache size = 256\n",
"llm_load_vocab: token to piece cache size = 0.7999 MB\n",
"llm_load_print_meta: format = GGUF V3 (latest)\n",
"llm_load_print_meta: arch = llama\n",
"llm_load_print_meta: vocab type = BPE\n",
"llm_load_print_meta: n_vocab = 128256\n",
"llm_load_print_meta: n_merges = 280147\n",
"llm_load_print_meta: vocab_only = 0\n",
"llm_load_print_meta: n_ctx_train = 131072\n",
"llm_load_print_meta: n_embd = 2048\n",
"llm_load_print_meta: n_layer = 16\n",
"llm_load_print_meta: n_head = 32\n",
"llm_load_print_meta: n_head_kv = 8\n",
"llm_load_print_meta: n_rot = 64\n",
"llm_load_print_meta: n_swa = 0\n",
"llm_load_print_meta: n_embd_head_k = 64\n",
"llm_load_print_meta: n_embd_head_v = 64\n",
"llm_load_print_meta: n_gqa = 4\n",
"llm_load_print_meta: n_embd_k_gqa = 512\n",
"llm_load_print_meta: n_embd_v_gqa = 512\n",
"llm_load_print_meta: f_norm_eps = 0.0e+00\n",
"llm_load_print_meta: f_norm_rms_eps = 1.0e-05\n",
"llm_load_print_meta: f_clamp_kqv = 0.0e+00\n",
"llm_load_print_meta: f_max_alibi_bias = 0.0e+00\n",
"llm_load_print_meta: f_logit_scale = 0.0e+00\n",
"llm_load_print_meta: n_ff = 8192\n",
"llm_load_print_meta: n_expert = 0\n",
"llm_load_print_meta: n_expert_used = 0\n",
"llm_load_print_meta: causal attn = 1\n",
"llm_load_print_meta: pooling type = 0\n",
"llm_load_print_meta: rope type = 0\n",
"llm_load_print_meta: rope scaling = linear\n",
"llm_load_print_meta: freq_base_train = 500000.0\n",
"llm_load_print_meta: freq_scale_train = 1\n",
"llm_load_print_meta: n_ctx_orig_yarn = 131072\n",
"llm_load_print_meta: rope_finetuned = unknown\n",
"llm_load_print_meta: ssm_d_conv = 0\n",
"llm_load_print_meta: ssm_d_inner = 0\n",
"llm_load_print_meta: ssm_d_state = 0\n",
"llm_load_print_meta: ssm_dt_rank = 0\n",
"llm_load_print_meta: ssm_dt_b_c_rms = 0\n",
"llm_load_print_meta: model type = 1B\n",
"llm_load_print_meta: model ftype = Q4_K - Medium\n",
"llm_load_print_meta: model params = 1.24 B\n",
"llm_load_print_meta: model size = 762.81 MiB (5.18 BPW) \n",
"llm_load_print_meta: general.name = Llama 3.2 1b Instruct Bnb 4bit\n",
"llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>'\n",
"llm_load_print_meta: EOS token = 128009 '<|eot_id|>'\n",
"llm_load_print_meta: EOT token = 128009 '<|eot_id|>'\n",
"llm_load_print_meta: EOM token = 128008 '<|eom_id|>'\n",
"llm_load_print_meta: PAD token = 128004 '<|finetune_right_pad_id|>'\n",
"llm_load_print_meta: LF token = 128 'Ä'\n",
"llm_load_print_meta: EOG token = 128008 '<|eom_id|>'\n",
"llm_load_print_meta: EOG token = 128009 '<|eot_id|>'\n",
"llm_load_print_meta: max token length = 256\n",
"llm_load_tensors: tensor 'token_embd.weight' (q6_K) (and 162 others) cannot be used with preferred buffer type CPU_AARCH64, using CPU instead\n",
"llm_load_tensors: CPU_Mapped model buffer size = 762.81 MiB\n",
"............................................................\n",
"llama_new_context_with_model: n_seq_max = 1\n",
"llama_new_context_with_model: n_ctx = 512\n",
"llama_new_context_with_model: n_ctx_per_seq = 512\n",
"llama_new_context_with_model: n_batch = 512\n",
"llama_new_context_with_model: n_ubatch = 512\n",
"llama_new_context_with_model: flash_attn = 0\n",
"llama_new_context_with_model: freq_base = 500000.0\n",
"llama_new_context_with_model: freq_scale = 1\n",
"llama_new_context_with_model: n_ctx_per_seq (512) < n_ctx_train (131072) -- the full capacity of the model will not be utilized\n",
"llama_kv_cache_init: CPU KV buffer size = 16.00 MiB\n",
"llama_new_context_with_model: KV self size = 16.00 MiB, K (f16): 8.00 MiB, V (f16): 8.00 MiB\n",
"llama_new_context_with_model: CPU output buffer size = 0.49 MiB\n",
"llama_new_context_with_model: CPU compute buffer size = 254.50 MiB\n",
"llama_new_context_with_model: graph nodes = 518\n",
"llama_new_context_with_model: graph splits = 1\n",
"AVX = 1 | AVX_VNNI = 1 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | AMX_INT8 = 0 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | RISCV_VECT = 0 | WASM_SIMD = 0 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 | \n",
"Model metadata: {'tokenizer.chat_template': '{{- bos_token }}\\n{%- if custom_tools is defined %}\\n {%- set tools = custom_tools %}\\n{%- endif %}\\n{%- if not tools_in_user_message is defined %}\\n {%- set tools_in_user_message = true %}\\n{%- endif %}\\n{%- if not date_string is defined %}\\n {%- set date_string = \"26 July 2024\" %}\\n{%- endif %}\\n{%- if not tools is defined %}\\n {%- set tools = none %}\\n{%- endif %}\\n\\n{#- This block extracts the system message, so we can slot it into the right place. #}\\n{%- if messages[0][\\'role\\'] == \\'system\\' %}\\n {%- set system_message = messages[0][\\'content\\'] %}\\n {%- set messages = messages[1:] %}\\n{%- else %}\\n {%- set system_message = \"\" %}\\n{%- endif %}\\n\\n{#- System message + builtin tools #}\\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\\n{%- if builtin_tools is defined or tools is not none %}\\n {{- \"Environment: ipython\\n\" }}\\n{%- endif %}\\n{%- if builtin_tools is defined %}\\n {{- \"Tools: \" + builtin_tools | reject(\\'equalto\\', \\'code_interpreter\\') | join(\", \") + \"\\n\\n\"}}\\n{%- endif %}\\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\\n{%- if tools is not none and not tools_in_user_message %}\\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\\n {{- \\'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.\\' }}\\n {{- \"Do not use variables.\\n\\n\" }}\\n {%- for t in tools %}\\n {{- t | tojson(indent=4) }}\\n {{- \"\\n\\n\" }}\\n {%- endfor %}\\n{%- endif %}\\n{{- system_message }}\\n{{- \"<|eot_id|>\" }}\\n\\n{#- Custom tools are passed in a user message with some extra guidance #}\\n{%- if tools_in_user_message and not tools is none %}\\n {#- Extract the first user message so we can plug it in here #}\\n {%- if messages | length != 0 %}\\n {%- set first_user_message = messages[0][\\'content\\'] %}\\n {%- set messages = messages[1:] %}\\n {%- else %}\\n {{- raise_exception(\"Cannot put tools in the first user message when there\\'s no first user message!\") }}\\n{%- endif %}\\n {{- \\'<|start_header_id|>user<|end_header_id|>\\n\\n\\' -}}\\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\\n {{- \\'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.\\' }}\\n {{- \"Do not use variables.\\n\\n\" }}\\n {%- for t in tools %}\\n {{- t | tojson(indent=4) }}\\n {{- \"\\n\\n\" }}\\n {%- endfor %}\\n {{- first_user_message + \"<|eot_id|>\"}}\\n{%- endif %}\\n\\n{%- for message in messages %}\\n {%- if not (message.role == \\'ipython\\' or message.role == \\'tool\\' or \\'tool_calls\\' in message) %}\\n {{- \\'<|start_header_id|>\\' + message[\\'role\\'] + \\'<|end_header_id|>\\n\\n\\'+ message[\\'content\\'] + \\'<|eot_id|>\\' }}\\n {%- elif \\'tool_calls\\' in message %}\\n {%- if not message.tool_calls|length == 1 %}\\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\\n {%- endif %}\\n {%- set tool_call = message.tool_calls[0].function %}\\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\\n {{- \\'<|start_header_id|>assistant<|end_header_id|>\\n\\n\\' -}}\\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\\n {%- for arg_name, arg_val in tool_call.arguments | items %}\\n {{- arg_name + \\'=\"\\' + arg_val + \\'\"\\' }}\\n {%- if not loop.last %}\\n {{- \", \" }}\\n {%- endif %}\\n {%- endfor %}\\n {{- \")\" }}\\n {%- else %}\\n {{- \\'<|start_header_id|>assistant<|end_header_id|>\\n\\n\\' -}}\\n {{- \\'{\"name\": \"\\' + tool_call.name + \\'\", \\' }}\\n {{- \\'\"parameters\": \\' }}\\n {{- tool_call.arguments | tojson }}\\n {{- \"}\" }}\\n {%- endif %}\\n {%- if builtin_tools is defined %}\\n {#- This means we\\'re in ipython mode #}\\n {{- \"<|eom_id|>\" }}\\n {%- else %}\\n {{- \"<|eot_id|>\" }}\\n {%- endif %}\\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\\n {%- if message.content is mapping or message.content is iterable %}\\n {{- message.content | tojson }}\\n {%- else %}\\n {{- message.content }}\\n {%- endif %}\\n {{- \"<|eot_id|>\" }}\\n {%- endif %}\\n{%- endfor %}\\n{%- if add_generation_prompt %}\\n {{- \\'<|start_header_id|>assistant<|end_header_id|>\\n\\n\\' }}\\n{%- endif %}\\n', 'tokenizer.ggml.eos_token_id': '128009', 'general.quantization_version': '2', 'tokenizer.ggml.model': 'gpt2', 'llama.rope.dimension_count': '64', 'llama.vocab_size': '128256', 'general.file_type': '15', 'llama.attention.value_length': '64', 'llama.attention.key_length': '64', 'llama.attention.layer_norm_rms_epsilon': '0.000010', 'llama.rope.freq_base': '500000.000000', 'general.architecture': 'llama', 'tokenizer.ggml.padding_token_id': '128004', 'general.basename': 'llama-3.2', 'tokenizer.ggml.bos_token_id': '128000', 'llama.attention.head_count': '32', 'tokenizer.ggml.pre': 'llama-bpe', 'llama.context_length': '131072', 'general.name': 'Llama 3.2 1b Instruct Bnb 4bit', 'general.organization': 'Unsloth', 'general.finetune': 'instruct-bnb-4bit', 'general.type': 'model', 'general.size_label': '1B', 'llama.embedding_length': '2048', 'llama.feed_forward_length': '8192', 'llama.block_count': '16', 'llama.attention.head_count_kv': '8'}\n",
"Available chat formats from metadata: chat_template.default\n",
"Using gguf chat template: {{- bos_token }}\n",
"{%- if custom_tools is defined %}\n",
" {%- set tools = custom_tools %}\n",
"{%- endif %}\n",
"{%- if not tools_in_user_message is defined %}\n",
" {%- set tools_in_user_message = true %}\n",
"{%- endif %}\n",
"{%- if not date_string is defined %}\n",
" {%- set date_string = \"26 July 2024\" %}\n",
"{%- endif %}\n",
"{%- if not tools is defined %}\n",
" {%- set tools = none %}\n",
"{%- endif %}\n",
"\n",
"{#- This block extracts the system message, so we can slot it into the right place. #}\n",
"{%- if messages[0]['role'] == 'system' %}\n",
" {%- set system_message = messages[0]['content'] %}\n",
" {%- set messages = messages[1:] %}\n",
"{%- else %}\n",
" {%- set system_message = \"\" %}\n",
"{%- endif %}\n",
"\n",
"{#- System message + builtin tools #}\n",
"{{- \"<|start_header_id|>system<|end_header_id|>\n",
"\n",
"\" }}\n",
"{%- if builtin_tools is defined or tools is not none %}\n",
" {{- \"Environment: ipython\n",
"\" }}\n",
"{%- endif %}\n",
"{%- if builtin_tools is defined %}\n",
" {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\n",
"\n",
"\"}}\n",
"{%- endif %}\n",
"{{- \"Cutting Knowledge Date: December 2023\n",
"\" }}\n",
"{{- \"Today Date: \" + date_string + \"\n",
"\n",
"\" }}\n",
"{%- if tools is not none and not tools_in_user_message %}\n",
" {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n",
" {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n",
" {{- \"Do not use variables.\n",
"\n",
"\" }}\n",
" {%- for t in tools %}\n",
" {{- t | tojson(indent=4) }}\n",
" {{- \"\n",
"\n",
"\" }}\n",
" {%- endfor %}\n",
"{%- endif %}\n",
"{{- system_message }}\n",
"{{- \"<|eot_id|>\" }}\n",
"\n",
"{#- Custom tools are passed in a user message with some extra guidance #}\n",
"{%- if tools_in_user_message and not tools is none %}\n",
" {#- Extract the first user message so we can plug it in here #}\n",
" {%- if messages | length != 0 %}\n",
" {%- set first_user_message = messages[0]['content'] %}\n",
" {%- set messages = messages[1:] %}\n",
" {%- else %}\n",
" {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n",
"{%- endif %}\n",
" {{- '<|start_header_id|>user<|end_header_id|>\n",
"\n",
"' -}}\n",
" {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n",
" {{- \"with its proper arguments that best answers the given prompt.\n",
"\n",
"\" }}\n",
" {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n",
" {{- \"Do not use variables.\n",
"\n",
"\" }}\n",
" {%- for t in tools %}\n",
" {{- t | tojson(indent=4) }}\n",
" {{- \"\n",
"\n",
"\" }}\n",
" {%- endfor %}\n",
" {{- first_user_message + \"<|eot_id|>\"}}\n",
"{%- endif %}\n",
"\n",
"{%- for message in messages %}\n",
" {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n",
" {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n",
"\n",
"'+ message['content'] + '<|eot_id|>' }}\n",
" {%- elif 'tool_calls' in message %}\n",
" {%- if not message.tool_calls|length == 1 %}\n",
" {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n",
" {%- endif %}\n",
" {%- set tool_call = message.tool_calls[0].function %}\n",
" {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n",
" {{- '<|start_header_id|>assistant<|end_header_id|>\n",
"\n",
"' -}}\n",
" {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n",
" {%- for arg_name, arg_val in tool_call.arguments | items %}\n",
" {{- arg_name + '=\"' + arg_val + '\"' }}\n",
" {%- if not loop.last %}\n",
" {{- \", \" }}\n",
" {%- endif %}\n",
" {%- endfor %}\n",
" {{- \")\" }}\n",
" {%- else %}\n",
" {{- '<|start_header_id|>assistant<|end_header_id|>\n",
"\n",
"' -}}\n",
" {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n",
" {{- '\"parameters\": ' }}\n",
" {{- tool_call.arguments | tojson }}\n",
" {{- \"}\" }}\n",
" {%- endif %}\n",
" {%- if builtin_tools is defined %}\n",
" {#- This means we're in ipython mode #}\n",
" {{- \"<|eom_id|>\" }}\n",
" {%- else %}\n",
" {{- \"<|eot_id|>\" }}\n",
" {%- endif %}\n",
" {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n",
" {{- \"<|start_header_id|>ipython<|end_header_id|>\n",
"\n",
"\" }}\n",
" {%- if message.content is mapping or message.content is iterable %}\n",
" {{- message.content | tojson }}\n",
" {%- else %}\n",
" {{- message.content }}\n",
" {%- endif %}\n",
" {{- \"<|eot_id|>\" }}\n",
" {%- endif %}\n",
"{%- endfor %}\n",
"{%- if add_generation_prompt %}\n",
" {{- '<|start_header_id|>assistant<|end_header_id|>\n",
"\n",
"' }}\n",
"{%- endif %}\n",
"\n",
"Using chat eos_token: <|eot_id|>\n",
"Using chat bos_token: <|begin_of_text|>\n"
]
}
],
"source": [
"from llama_cpp import Llama\n",
"import gradio as gr\n",
"import time\n",
"\n",
"llm = Llama.from_pretrained(\n",
"\trepo_id=\"Robzy/Llama-3.2-1B-Instruct-Finetuned-q4_k_m\",\n",
"\tfilename=\"unsloth.Q4_K_M.gguf\",\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import time"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Llama.generate: 35 prefix-match hit, remaining 1 prompt tokens to eval\n",
"llama_perf_context_print: load time = 406.81 ms\n",
"llama_perf_context_print: prompt eval time = 0.00 ms / 1 tokens ( 0.00 ms per token, inf tokens per second)\n",
"llama_perf_context_print: eval time = 0.00 ms / 31 runs ( 0.00 ms per token, inf tokens per second)\n",
"llama_perf_context_print: total time = 953.44 ms / 32 tokens\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tokens per second: 31.380398024839145\n"
]
}
],
"source": [
"t0 = time.time()\n",
"res = llm.create_chat_completion(messages = [{\"role\": \"system\", \"content\": \"You are a helpful assistant.\"}])\n",
"t1 = time.time()\n",
"\n",
"num_response_tokens = int(res['usage']['completion_tokens'])\n",
"tokens_per_second = num_response_tokens / (t1 - t0)\n",
"print(f\"Tokens per second: {tokens_per_second}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv2",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|