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@@ -147,439 +147,14 @@
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},
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{
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"cell_type": "code",
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- "execution_count": 4,
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+ "execution_count": null,
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"id": "dff6aa6b",
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"metadata": {},
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- "outputs": [
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- {
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- "name": "stderr",
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- "output_type": "stream",
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- "text": [
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- "llama_model_loader: loaded meta data with 16 key-value pairs and 363 tensors from /Users/jeffxtang/repos/llama/llama-2-13b-chat/ggml-model-q4_0.gguf (version GGUF V2 (latest))\n",
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- "llama_model_loader: - tensor 0: token_embd.weight q4_0 [ 5120, 32000, 1, 1 ]\n",
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- "llama_model_loader: - tensor 1: output_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 2: output.weight q6_K [ 5120, 32000, 1, 1 ]\n",
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- "llama_model_loader: - tensor 3: blk.0.attn_q.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 4: blk.0.attn_k.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 5: blk.0.attn_v.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 6: blk.0.attn_output.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 7: blk.0.ffn_gate.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 8: blk.0.ffn_down.weight q4_0 [ 13824, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 9: blk.0.ffn_up.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 10: blk.0.attn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 11: blk.0.ffn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 12: blk.1.attn_q.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 13: blk.1.attn_k.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 14: blk.1.attn_v.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 15: blk.1.attn_output.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 16: blk.1.ffn_gate.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 17: blk.1.ffn_down.weight q4_0 [ 13824, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 18: blk.1.ffn_up.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 19: blk.1.attn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 20: blk.1.ffn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 23: blk.2.attn_v.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 25: blk.2.ffn_gate.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 26: blk.2.ffn_down.weight q4_0 [ 13824, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 27: blk.2.ffn_up.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 28: blk.2.attn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 307: blk.33.attn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 308: blk.33.ffn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 309: blk.34.attn_q.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 310: blk.34.attn_k.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 311: blk.34.attn_v.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 312: blk.34.attn_output.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 313: blk.34.ffn_gate.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 314: blk.34.ffn_down.weight q4_0 [ 13824, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 315: blk.34.ffn_up.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 316: blk.34.attn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 317: blk.34.ffn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 318: blk.35.attn_q.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 319: blk.35.attn_k.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 320: blk.35.attn_v.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 321: blk.35.attn_output.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 322: blk.35.ffn_gate.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 323: blk.35.ffn_down.weight q4_0 [ 13824, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 324: blk.35.ffn_up.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 325: blk.35.attn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 326: blk.35.ffn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 327: blk.36.attn_q.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 328: blk.36.attn_k.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 329: blk.36.attn_v.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 330: blk.36.attn_output.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 331: blk.36.ffn_gate.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 332: blk.36.ffn_down.weight q4_0 [ 13824, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 333: blk.36.ffn_up.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 334: blk.36.attn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 335: blk.36.ffn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 336: blk.37.attn_q.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 337: blk.37.attn_k.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 338: blk.37.attn_v.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 339: blk.37.attn_output.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 340: blk.37.ffn_gate.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 341: blk.37.ffn_down.weight q4_0 [ 13824, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 342: blk.37.ffn_up.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 343: blk.37.attn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 345: blk.38.attn_q.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 346: blk.38.attn_k.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 347: blk.38.attn_v.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 348: blk.38.attn_output.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 349: blk.38.ffn_gate.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 350: blk.38.ffn_down.weight q4_0 [ 13824, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 351: blk.38.ffn_up.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 352: blk.38.attn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 353: blk.38.ffn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 354: blk.39.attn_q.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 355: blk.39.attn_k.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 356: blk.39.attn_v.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 357: blk.39.attn_output.weight q4_0 [ 5120, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 358: blk.39.ffn_gate.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 359: blk.39.ffn_down.weight q4_0 [ 13824, 5120, 1, 1 ]\n",
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- "llama_model_loader: - tensor 360: blk.39.ffn_up.weight q4_0 [ 5120, 13824, 1, 1 ]\n",
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- "llama_model_loader: - tensor 361: blk.39.attn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - tensor 362: blk.39.ffn_norm.weight f32 [ 5120, 1, 1, 1 ]\n",
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- "llama_model_loader: - kv 0: general.architecture str \n",
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- "llama_model_loader: - kv 1: general.name str \n",
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- "llama_model_loader: - kv 2: llama.context_length u32 \n",
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- "llama_model_loader: - kv 3: llama.embedding_length u32 \n",
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- "llama_model_loader: - kv 4: llama.block_count u32 \n",
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- "llama_model_loader: - kv 5: llama.feed_forward_length u32 \n",
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- "llama_model_loader: - kv 6: llama.rope.dimension_count u32 \n",
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- "llama_model_loader: - kv 7: llama.attention.head_count u32 \n",
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- "llama_model_loader: - kv 8: llama.attention.head_count_kv u32 \n",
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- "llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 \n",
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- "llama_model_loader: - kv 10: general.file_type u32 \n",
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- "llama_model_loader: - kv 11: tokenizer.ggml.model str \n",
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- "llama_model_loader: - kv 12: tokenizer.ggml.tokens arr \n",
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- "llama_model_loader: - kv 13: tokenizer.ggml.scores arr \n",
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- "llama_model_loader: - kv 14: tokenizer.ggml.token_type arr \n",
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- "llama_model_loader: - kv 15: general.quantization_version u32 \n",
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- "llama_model_loader: - type f32: 81 tensors\n",
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- "llama_model_loader: - type q4_0: 281 tensors\n",
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- "llama_model_loader: - type q6_K: 1 tensors\n",
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- "llm_load_print_meta: format = GGUF V2 (latest)\n",
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- "llm_load_print_meta: arch = llama\n",
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- "llm_load_print_meta: vocab type = SPM\n",
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- "llm_load_print_meta: n_vocab = 32000\n",
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- "llm_load_print_meta: n_merges = 0\n",
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- "llm_load_print_meta: n_ctx_train = 4096\n",
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- "llm_load_print_meta: n_embd = 5120\n",
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- "llm_load_print_meta: n_head = 40\n",
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- "llm_load_print_meta: n_head_kv = 40\n",
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- "llm_load_print_meta: n_layer = 40\n",
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- "llm_load_print_meta: n_rot = 128\n",
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- "llm_load_print_meta: n_gqa = 1\n",
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- "llm_load_print_meta: f_norm_eps = 0.0e+00\n",
|
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- "llm_load_print_meta: f_norm_rms_eps = 1.0e-05\n",
|
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- "llm_load_print_meta: n_ff = 13824\n",
|
|
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- "llm_load_print_meta: freq_base_train = 10000.0\n",
|
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- "llm_load_print_meta: freq_scale_train = 1\n",
|
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- "llm_load_print_meta: model type = 13B\n",
|
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- "llm_load_print_meta: model ftype = mostly Q4_0\n",
|
|
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- "llm_load_print_meta: model params = 13.02 B\n",
|
|
|
- "llm_load_print_meta: model size = 6.86 GiB (4.53 BPW) \n",
|
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- "llm_load_print_meta: general.name = LLaMA v2\n",
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- "llm_load_print_meta: BOS token = 1 '<s>'\n",
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- "llm_load_print_meta: EOS token = 2 '</s>'\n",
|
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- "llm_load_print_meta: UNK token = 0 '<unk>'\n",
|
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- "llm_load_print_meta: LF token = 13 '<0x0A>'\n",
|
|
|
- "llm_load_tensors: ggml ctx size = 0.12 MB\n",
|
|
|
- "llm_load_tensors: mem required = 7024.01 MB\n",
|
|
|
- "...................................................................................................\n",
|
|
|
- "llama_new_context_with_model: n_ctx = 6000\n",
|
|
|
- "llama_new_context_with_model: freq_base = 10000.0\n",
|
|
|
- "llama_new_context_with_model: freq_scale = 1\n",
|
|
|
- "llama_new_context_with_model: kv self size = 4687.50 MB\n",
|
|
|
- "llama_new_context_with_model: compute buffer total size = 13.85 MB\n",
|
|
|
- "AVX = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | \n"
|
|
|
- ]
|
|
|
- }
|
|
|
- ],
|
|
|
+ "outputs": [],
|
|
|
"source": [
|
|
|
"# create the Llama2 model - for more info see https://python.langchain.com/docs/integrations/llms/llamacpp\n",
|
|
|
"llm = LlamaCpp(\n",
|
|
|
- " model_path=\"<path-to-ggml-model-q4_0.gguf>\"\n",
|
|
|
+ " model_path=\"<path-to-llama-gguf-file>\"\n",
|
|
|
" temperature=0.0,\n",
|
|
|
" top_p=1,\n",
|
|
|
" n_ctx=6000,\n",
|
Jeff Tang