Upload llama_fine_tuning.ipynb
Browse files- llama_fine_tuning.ipynb +2230 -0
llama_fine_tuning.ipynb
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{
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"metadata": {
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|
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"base_uri": "https://localhost:8080/"
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},
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},
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{
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"output_type": "stream",
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+
"name": "stdout",
|
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+
"text": [
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| 1406 |
+
"Requirement already satisfied: bitsandbytes in /usr/local/lib/python3.12/dist-packages (0.48.2)\n",
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| 1407 |
+
"Requirement already satisfied: accelerate in /usr/local/lib/python3.12/dist-packages (1.12.0)\n",
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"Requirement already satisfied: xformers==0.0.33.post1 in /usr/local/lib/python3.12/dist-packages (0.0.33.post1)\n",
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"Requirement already satisfied: peft in /usr/local/lib/python3.12/dist-packages (0.18.0)\n",
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"Requirement already satisfied: trl in /usr/local/lib/python3.12/dist-packages (0.25.1)\n",
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"Requirement already satisfied: triton in /usr/local/lib/python3.12/dist-packages (3.5.0)\n",
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+
"Requirement already satisfied: cut_cross_entropy in /usr/local/lib/python3.12/dist-packages (25.1.1)\n",
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"Requirement already satisfied: unsloth_zoo in /usr/local/lib/python3.12/dist-packages (2025.11.5)\n",
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"Requirement already satisfied: sentencepiece in /usr/local/lib/python3.12/dist-packages (0.2.1)\n",
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"Requirement already satisfied: protobuf in /usr/local/lib/python3.12/dist-packages (5.29.5)\n",
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"Requirement already satisfied: datasets==4.3.0 in /usr/local/lib/python3.12/dist-packages (4.3.0)\n",
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"Requirement already satisfied: huggingface_hub>=0.34.0 in /usr/local/lib/python3.12/dist-packages (0.36.0)\n",
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"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.12/dist-packages (from datasets==4.3.0) (2.0.2)\n",
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"Requirement already satisfied: requests>=2.32.2 in /usr/local/lib/python3.12/dist-packages (from datasets==4.3.0) (2.32.4)\n",
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+
"Requirement already satisfied: tqdm>=4.66.3 in /usr/local/lib/python3.12/dist-packages (from datasets==4.3.0) (4.67.1)\n",
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"Requirement already satisfied: xxhash in /usr/local/lib/python3.12/dist-packages (from datasets==4.3.0) (3.6.0)\n",
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+
"Requirement already satisfied: multiprocess<0.70.17 in /usr/local/lib/python3.12/dist-packages (from datasets==4.3.0) (0.70.16)\n",
|
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+
"Requirement already satisfied: fsspec<=2025.9.0,>=2023.1.0 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.3.0) (2025.3.0)\n",
|
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+
"Requirement already satisfied: packaging in /usr/local/lib/python3.12/dist-packages (from datasets==4.3.0) (25.0)\n",
|
| 1431 |
+
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.12/dist-packages (from datasets==4.3.0) (6.0.3)\n",
|
| 1432 |
+
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub>=0.34.0) (4.15.0)\n",
|
| 1433 |
+
"Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub>=0.34.0) (1.2.0)\n",
|
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+
"Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.12/dist-packages (from fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.3.0) (3.13.2)\n",
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+
"Requirement already satisfied: anyio in /usr/local/lib/python3.12/dist-packages (from httpx<1.0.0->datasets==4.3.0) (4.11.0)\n",
|
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+
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+
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+
"Requirement already satisfied: idna in /usr/local/lib/python3.12/dist-packages (from httpx<1.0.0->datasets==4.3.0) (3.11)\n",
|
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+
"Requirement already satisfied: h11>=0.16 in /usr/local/lib/python3.12/dist-packages (from httpcore==1.*->httpx<1.0.0->datasets==4.3.0) (0.16.0)\n",
|
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+
"Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets==4.3.0) (3.4.4)\n",
|
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+
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests>=2.32.2->datasets==4.3.0) (2.5.0)\n",
|
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+
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets==4.3.0) (2.9.0.post0)\n",
|
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+
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets==4.3.0) (2025.2)\n",
|
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+
"Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas->datasets==4.3.0) (2025.2)\n",
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+
"Requirement already satisfied: aiohappyeyeballs>=2.5.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.3.0) (2.6.1)\n",
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+
"Requirement already satisfied: aiosignal>=1.4.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.3.0) (1.4.0)\n",
|
| 1447 |
+
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.3.0) (25.4.0)\n",
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+
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.3.0) (1.8.0)\n",
|
| 1449 |
+
"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.3.0) (6.7.0)\n",
|
| 1450 |
+
"Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.3.0) (0.4.1)\n",
|
| 1451 |
+
"Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.9.0,>=2023.1.0->datasets==4.3.0) (1.22.0)\n",
|
| 1452 |
+
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas->datasets==4.3.0) (1.17.0)\n",
|
| 1453 |
+
"Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.12/dist-packages (from anyio->httpx<1.0.0->datasets==4.3.0) (1.3.1)\n",
|
| 1454 |
+
"Requirement already satisfied: unsloth in /usr/local/lib/python3.12/dist-packages (2025.11.4)\n"
|
| 1455 |
+
]
|
| 1456 |
+
}
|
| 1457 |
+
],
|
| 1458 |
+
"source": [
|
| 1459 |
+
"import os, re\n",
|
| 1460 |
+
"\n",
|
| 1461 |
+
"import torch; v = re.match(r\"[0-9]{1,}\\.[0-9]{1,}\", str(torch.__version__)).group(0)\n",
|
| 1462 |
+
"xformers = \"xformers==\" + (\"0.0.33.post1\" if v==\"2.9\" else \"0.0.32.post2\" if v==\"2.8\" else \"0.0.29.post3\")\n",
|
| 1463 |
+
"!pip install --no-deps bitsandbytes accelerate {xformers} peft trl triton cut_cross_entropy unsloth_zoo\n",
|
| 1464 |
+
"!pip install sentencepiece protobuf \"datasets==4.3.0\" \"huggingface_hub>=0.34.0\" hf_transfer\n",
|
| 1465 |
+
"!pip install --no-deps unsloth"
|
| 1466 |
+
]
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"cell_type": "code",
|
| 1470 |
+
"source": [
|
| 1471 |
+
"import unsloth\n",
|
| 1472 |
+
"from unsloth import FastLanguageModel\n",
|
| 1473 |
+
"import torch\n",
|
| 1474 |
+
"\n",
|
| 1475 |
+
"max_seq_length = 2048\n",
|
| 1476 |
+
"dtype = None\n",
|
| 1477 |
+
"load_in_4bit = True\n",
|
| 1478 |
+
"model_name = \"unsloth/Meta-Llama-3.1-8B-bnb-4bit\"\n",
|
| 1479 |
+
"model, tokenizer = FastLanguageModel.from_pretrained(\n",
|
| 1480 |
+
" model_name = model_name,\n",
|
| 1481 |
+
" max_seq_length = max_seq_length,\n",
|
| 1482 |
+
" dtype = dtype,\n",
|
| 1483 |
+
" load_in_4bit = load_in_4bit,\n",
|
| 1484 |
+
")"
|
| 1485 |
+
],
|
| 1486 |
+
"metadata": {
|
| 1487 |
+
"colab": {
|
| 1488 |
+
"base_uri": "https://localhost:8080/"
|
| 1489 |
+
},
|
| 1490 |
+
"id": "rHVeLF3Jtlfd",
|
| 1491 |
+
"outputId": "c1eafe1e-ac46-4711-8453-a5b05c6e5b0d"
|
| 1492 |
+
},
|
| 1493 |
+
"execution_count": 5,
|
| 1494 |
+
"outputs": [
|
| 1495 |
+
{
|
| 1496 |
+
"output_type": "stream",
|
| 1497 |
+
"name": "stdout",
|
| 1498 |
+
"text": [
|
| 1499 |
+
"π¦₯ Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
|
| 1500 |
+
"π¦₯ Unsloth Zoo will now patch everything to make training faster!\n",
|
| 1501 |
+
"==((====))== Unsloth 2025.11.4: Fast Llama patching. Transformers: 4.57.2.\n",
|
| 1502 |
+
" \\\\ /| Tesla T4. Num GPUs = 1. Max memory: 14.741 GB. Platform: Linux.\n",
|
| 1503 |
+
"O^O/ \\_/ \\ Torch: 2.9.0+cu126. CUDA: 7.5. CUDA Toolkit: 12.6. Triton: 3.5.0\n",
|
| 1504 |
+
"\\ / Bfloat16 = FALSE. FA [Xformers = 0.0.33.post1. FA2 = False]\n",
|
| 1505 |
+
" \"-____-\" Free license: http://github.com/unslothai/unsloth\n",
|
| 1506 |
+
"Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!\n"
|
| 1507 |
+
]
|
| 1508 |
+
}
|
| 1509 |
+
]
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"cell_type": "code",
|
| 1513 |
+
"source": [
|
| 1514 |
+
"model = FastLanguageModel.get_peft_model(\n",
|
| 1515 |
+
" model,\n",
|
| 1516 |
+
" r = 32, # Choose any number > 0 ! Suggested 8, 16, 32, 64, 128\n",
|
| 1517 |
+
" target_modules = [\"q_proj\", \"k_proj\", \"v_proj\", \"o_proj\",\n",
|
| 1518 |
+
" \"gate_proj\", \"up_proj\", \"down_proj\",],\n",
|
| 1519 |
+
" lora_alpha = 16,\n",
|
| 1520 |
+
" lora_dropout = 0, # Supports any, but = 0 is optimized\n",
|
| 1521 |
+
" bias = \"none\", # Supports any, but = \"none\" is optimized\n",
|
| 1522 |
+
" # [NEW] \"unsloth\" uses 30% less VRAM, fits 2x larger batch sizes!\n",
|
| 1523 |
+
" use_gradient_checkpointing = \"unsloth\", # True or \"unsloth\" for very long context\n",
|
| 1524 |
+
" random_state = 61, # Trabzon PlakasΔ±\n",
|
| 1525 |
+
" use_rslora = False, # We support rank stabilized LoRA\n",
|
| 1526 |
+
" loftq_config = None, # And LoftQ\n",
|
| 1527 |
+
")"
|
| 1528 |
+
],
|
| 1529 |
+
"metadata": {
|
| 1530 |
+
"colab": {
|
| 1531 |
+
"base_uri": "https://localhost:8080/"
|
| 1532 |
+
},
|
| 1533 |
+
"id": "P3OKXPPNtuSg",
|
| 1534 |
+
"outputId": "708e7805-423b-4982-d224-a663f0065bd2"
|
| 1535 |
+
},
|
| 1536 |
+
"execution_count": 6,
|
| 1537 |
+
"outputs": [
|
| 1538 |
+
{
|
| 1539 |
+
"output_type": "stream",
|
| 1540 |
+
"name": "stderr",
|
| 1541 |
+
"text": [
|
| 1542 |
+
"Unsloth 2025.11.4 patched 32 layers with 32 QKV layers, 32 O layers and 32 MLP layers.\n"
|
| 1543 |
+
]
|
| 1544 |
+
}
|
| 1545 |
+
]
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"cell_type": "code",
|
| 1549 |
+
"source": [
|
| 1550 |
+
"qa_prompt = \"\"\"Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n",
|
| 1551 |
+
"\n",
|
| 1552 |
+
"### Instruction:\n",
|
| 1553 |
+
"Answer the user's question accurately based *only* on the provided context.\n",
|
| 1554 |
+
"\n",
|
| 1555 |
+
"### Context:\n",
|
| 1556 |
+
"{}\n",
|
| 1557 |
+
"\n",
|
| 1558 |
+
"### Question:\n",
|
| 1559 |
+
"{}\n",
|
| 1560 |
+
"\n",
|
| 1561 |
+
"### Response:\n",
|
| 1562 |
+
"{}\"\"\" # bunu daha guzel de yazabiliriz kafamdan salladim\n",
|
| 1563 |
+
"\n",
|
| 1564 |
+
"EOS_TOKEN = tokenizer.eos_token # Must add EOS_TOKEN\n",
|
| 1565 |
+
"def formatting_prompts_func(examples):\n",
|
| 1566 |
+
" queries = examples[\"query\"]\n",
|
| 1567 |
+
" original_questions = examples[\"original_question\"]\n",
|
| 1568 |
+
" responses = examples[\"response\"]\n",
|
| 1569 |
+
" texts = []\n",
|
| 1570 |
+
" for query, original_question, response in zip(queries, original_questions, responses):\n",
|
| 1571 |
+
" # Must add EOS_TOKEN, otherwise your generation will go on forever!\n",
|
| 1572 |
+
" text = qa_prompt.format(query, original_question, response) + EOS_TOKEN\n",
|
| 1573 |
+
" texts.append(text)\n",
|
| 1574 |
+
" return texts\n",
|
| 1575 |
+
"from datasets import load_dataset\n",
|
| 1576 |
+
"dataset = load_dataset(\"meta-math/MetaMathQA\", split = \"train\")"
|
| 1577 |
+
],
|
| 1578 |
+
"metadata": {
|
| 1579 |
+
"id": "3wjkkNvM0Y71"
|
| 1580 |
+
},
|
| 1581 |
+
"execution_count": 7,
|
| 1582 |
+
"outputs": []
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"cell_type": "code",
|
| 1586 |
+
"source": [
|
| 1587 |
+
"shuffled_dataset = dataset.shuffle(seed=42)\n",
|
| 1588 |
+
"random_dataset = shuffled_dataset.select(range(50000))\n",
|
| 1589 |
+
"test_dataset = shuffled_dataset.select(range(50000,62500)) # %80 = 50k, %20 = 12.5k"
|
| 1590 |
+
],
|
| 1591 |
+
"metadata": {
|
| 1592 |
+
"id": "S3o5ObKlxZdk"
|
| 1593 |
+
},
|
| 1594 |
+
"execution_count": 8,
|
| 1595 |
+
"outputs": []
|
| 1596 |
+
},
|
| 1597 |
+
{
|
| 1598 |
+
"cell_type": "code",
|
| 1599 |
+
"source": [
|
| 1600 |
+
"from trl import SFTConfig, SFTTrainer\n",
|
| 1601 |
+
"trainer = SFTTrainer(\n",
|
| 1602 |
+
" model = model,\n",
|
| 1603 |
+
" tokenizer = tokenizer,\n",
|
| 1604 |
+
" train_dataset = random_dataset,\n",
|
| 1605 |
+
" formatting_func = formatting_prompts_func,\n",
|
| 1606 |
+
" max_seq_length = max_seq_length,\n",
|
| 1607 |
+
" packing = False,\n",
|
| 1608 |
+
" args = SFTConfig(\n",
|
| 1609 |
+
" per_device_train_batch_size = 8,\n",
|
| 1610 |
+
" gradient_accumulation_steps = 4,\n",
|
| 1611 |
+
" warmup_steps = 5,\n",
|
| 1612 |
+
" num_train_epochs = 5,\n",
|
| 1613 |
+
" max_steps = 50,\n",
|
| 1614 |
+
" learning_rate = 5e-5,\n",
|
| 1615 |
+
" logging_steps = 1,\n",
|
| 1616 |
+
" optim = \"adamw_8bit\",\n",
|
| 1617 |
+
" weight_decay = 0.001,\n",
|
| 1618 |
+
" lr_scheduler_type = \"linear\",\n",
|
| 1619 |
+
" seed = 3407,\n",
|
| 1620 |
+
" output_dir = \"outputs\",\n",
|
| 1621 |
+
" report_to = \"none\",\n",
|
| 1622 |
+
" ),\n",
|
| 1623 |
+
")"
|
| 1624 |
+
],
|
| 1625 |
+
"metadata": {
|
| 1626 |
+
"id": "bVXWwFNCzg1Z"
|
| 1627 |
+
},
|
| 1628 |
+
"execution_count": 9,
|
| 1629 |
+
"outputs": []
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"cell_type": "code",
|
| 1633 |
+
"source": [
|
| 1634 |
+
"trainer_stats = trainer.train()"
|
| 1635 |
+
],
|
| 1636 |
+
"metadata": {
|
| 1637 |
+
"id": "0LK85tTpzxos",
|
| 1638 |
+
"colab": {
|
| 1639 |
+
"base_uri": "https://localhost:8080/",
|
| 1640 |
+
"height": 1000
|
| 1641 |
+
},
|
| 1642 |
+
"outputId": "c6890db6-6342-41d5-a554-f738443866e8"
|
| 1643 |
+
},
|
| 1644 |
+
"execution_count": 10,
|
| 1645 |
+
"outputs": [
|
| 1646 |
+
{
|
| 1647 |
+
"output_type": "stream",
|
| 1648 |
+
"name": "stderr",
|
| 1649 |
+
"text": [
|
| 1650 |
+
"The model is already on multiple devices. Skipping the move to device specified in `args`.\n",
|
| 1651 |
+
"==((====))== Unsloth - 2x faster free finetuning | Num GPUs used = 1\n",
|
| 1652 |
+
" \\\\ /| Num examples = 50,000 | Num Epochs = 1 | Total steps = 50\n",
|
| 1653 |
+
"O^O/ \\_/ \\ Batch size per device = 8 | Gradient accumulation steps = 4\n",
|
| 1654 |
+
"\\ / Data Parallel GPUs = 1 | Total batch size (8 x 4 x 1) = 32\n",
|
| 1655 |
+
" \"-____-\" Trainable parameters = 83,886,080 of 8,114,147,328 (1.03% trained)\n"
|
| 1656 |
+
]
|
| 1657 |
+
},
|
| 1658 |
+
{
|
| 1659 |
+
"output_type": "stream",
|
| 1660 |
+
"name": "stdout",
|
| 1661 |
+
"text": [
|
| 1662 |
+
"Unsloth: Will smartly offload gradients to save VRAM!\n"
|
| 1663 |
+
]
|
| 1664 |
+
},
|
| 1665 |
+
{
|
| 1666 |
+
"output_type": "display_data",
|
| 1667 |
+
"data": {
|
| 1668 |
+
"text/plain": [
|
| 1669 |
+
"<IPython.core.display.HTML object>"
|
| 1670 |
+
],
|
| 1671 |
+
"text/html": [
|
| 1672 |
+
"\n",
|
| 1673 |
+
" <div>\n",
|
| 1674 |
+
" \n",
|
| 1675 |
+
" <progress value='50' max='50' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
|
| 1676 |
+
" [50/50 37:05, Epoch 0/1]\n",
|
| 1677 |
+
" </div>\n",
|
| 1678 |
+
" <table border=\"1\" class=\"dataframe\">\n",
|
| 1679 |
+
" <thead>\n",
|
| 1680 |
+
" <tr style=\"text-align: left;\">\n",
|
| 1681 |
+
" <th>Step</th>\n",
|
| 1682 |
+
" <th>Training Loss</th>\n",
|
| 1683 |
+
" </tr>\n",
|
| 1684 |
+
" </thead>\n",
|
| 1685 |
+
" <tbody>\n",
|
| 1686 |
+
" <tr>\n",
|
| 1687 |
+
" <td>1</td>\n",
|
| 1688 |
+
" <td>1.230200</td>\n",
|
| 1689 |
+
" </tr>\n",
|
| 1690 |
+
" <tr>\n",
|
| 1691 |
+
" <td>2</td>\n",
|
| 1692 |
+
" <td>1.270300</td>\n",
|
| 1693 |
+
" </tr>\n",
|
| 1694 |
+
" <tr>\n",
|
| 1695 |
+
" <td>3</td>\n",
|
| 1696 |
+
" <td>1.299600</td>\n",
|
| 1697 |
+
" </tr>\n",
|
| 1698 |
+
" <tr>\n",
|
| 1699 |
+
" <td>4</td>\n",
|
| 1700 |
+
" <td>1.244500</td>\n",
|
| 1701 |
+
" </tr>\n",
|
| 1702 |
+
" <tr>\n",
|
| 1703 |
+
" <td>5</td>\n",
|
| 1704 |
+
" <td>1.184100</td>\n",
|
| 1705 |
+
" </tr>\n",
|
| 1706 |
+
" <tr>\n",
|
| 1707 |
+
" <td>6</td>\n",
|
| 1708 |
+
" <td>1.111100</td>\n",
|
| 1709 |
+
" </tr>\n",
|
| 1710 |
+
" <tr>\n",
|
| 1711 |
+
" <td>7</td>\n",
|
| 1712 |
+
" <td>1.223400</td>\n",
|
| 1713 |
+
" </tr>\n",
|
| 1714 |
+
" <tr>\n",
|
| 1715 |
+
" <td>8</td>\n",
|
| 1716 |
+
" <td>1.108700</td>\n",
|
| 1717 |
+
" </tr>\n",
|
| 1718 |
+
" <tr>\n",
|
| 1719 |
+
" <td>9</td>\n",
|
| 1720 |
+
" <td>1.065300</td>\n",
|
| 1721 |
+
" </tr>\n",
|
| 1722 |
+
" <tr>\n",
|
| 1723 |
+
" <td>10</td>\n",
|
| 1724 |
+
" <td>1.053800</td>\n",
|
| 1725 |
+
" </tr>\n",
|
| 1726 |
+
" <tr>\n",
|
| 1727 |
+
" <td>11</td>\n",
|
| 1728 |
+
" <td>0.964000</td>\n",
|
| 1729 |
+
" </tr>\n",
|
| 1730 |
+
" <tr>\n",
|
| 1731 |
+
" <td>12</td>\n",
|
| 1732 |
+
" <td>0.902800</td>\n",
|
| 1733 |
+
" </tr>\n",
|
| 1734 |
+
" <tr>\n",
|
| 1735 |
+
" <td>13</td>\n",
|
| 1736 |
+
" <td>0.931900</td>\n",
|
| 1737 |
+
" </tr>\n",
|
| 1738 |
+
" <tr>\n",
|
| 1739 |
+
" <td>14</td>\n",
|
| 1740 |
+
" <td>0.898900</td>\n",
|
| 1741 |
+
" </tr>\n",
|
| 1742 |
+
" <tr>\n",
|
| 1743 |
+
" <td>15</td>\n",
|
| 1744 |
+
" <td>0.874400</td>\n",
|
| 1745 |
+
" </tr>\n",
|
| 1746 |
+
" <tr>\n",
|
| 1747 |
+
" <td>16</td>\n",
|
| 1748 |
+
" <td>0.798700</td>\n",
|
| 1749 |
+
" </tr>\n",
|
| 1750 |
+
" <tr>\n",
|
| 1751 |
+
" <td>17</td>\n",
|
| 1752 |
+
" <td>0.817200</td>\n",
|
| 1753 |
+
" </tr>\n",
|
| 1754 |
+
" <tr>\n",
|
| 1755 |
+
" <td>18</td>\n",
|
| 1756 |
+
" <td>0.772500</td>\n",
|
| 1757 |
+
" </tr>\n",
|
| 1758 |
+
" <tr>\n",
|
| 1759 |
+
" <td>19</td>\n",
|
| 1760 |
+
" <td>0.732200</td>\n",
|
| 1761 |
+
" </tr>\n",
|
| 1762 |
+
" <tr>\n",
|
| 1763 |
+
" <td>20</td>\n",
|
| 1764 |
+
" <td>0.722500</td>\n",
|
| 1765 |
+
" </tr>\n",
|
| 1766 |
+
" <tr>\n",
|
| 1767 |
+
" <td>21</td>\n",
|
| 1768 |
+
" <td>0.668200</td>\n",
|
| 1769 |
+
" </tr>\n",
|
| 1770 |
+
" <tr>\n",
|
| 1771 |
+
" <td>22</td>\n",
|
| 1772 |
+
" <td>0.647300</td>\n",
|
| 1773 |
+
" </tr>\n",
|
| 1774 |
+
" <tr>\n",
|
| 1775 |
+
" <td>23</td>\n",
|
| 1776 |
+
" <td>0.637800</td>\n",
|
| 1777 |
+
" </tr>\n",
|
| 1778 |
+
" <tr>\n",
|
| 1779 |
+
" <td>24</td>\n",
|
| 1780 |
+
" <td>0.636000</td>\n",
|
| 1781 |
+
" </tr>\n",
|
| 1782 |
+
" <tr>\n",
|
| 1783 |
+
" <td>25</td>\n",
|
| 1784 |
+
" <td>0.659600</td>\n",
|
| 1785 |
+
" </tr>\n",
|
| 1786 |
+
" <tr>\n",
|
| 1787 |
+
" <td>26</td>\n",
|
| 1788 |
+
" <td>0.617000</td>\n",
|
| 1789 |
+
" </tr>\n",
|
| 1790 |
+
" <tr>\n",
|
| 1791 |
+
" <td>27</td>\n",
|
| 1792 |
+
" <td>0.650700</td>\n",
|
| 1793 |
+
" </tr>\n",
|
| 1794 |
+
" <tr>\n",
|
| 1795 |
+
" <td>28</td>\n",
|
| 1796 |
+
" <td>0.622400</td>\n",
|
| 1797 |
+
" </tr>\n",
|
| 1798 |
+
" <tr>\n",
|
| 1799 |
+
" <td>29</td>\n",
|
| 1800 |
+
" <td>0.644100</td>\n",
|
| 1801 |
+
" </tr>\n",
|
| 1802 |
+
" <tr>\n",
|
| 1803 |
+
" <td>30</td>\n",
|
| 1804 |
+
" <td>0.623500</td>\n",
|
| 1805 |
+
" </tr>\n",
|
| 1806 |
+
" <tr>\n",
|
| 1807 |
+
" <td>31</td>\n",
|
| 1808 |
+
" <td>0.566500</td>\n",
|
| 1809 |
+
" </tr>\n",
|
| 1810 |
+
" <tr>\n",
|
| 1811 |
+
" <td>32</td>\n",
|
| 1812 |
+
" <td>0.608200</td>\n",
|
| 1813 |
+
" </tr>\n",
|
| 1814 |
+
" <tr>\n",
|
| 1815 |
+
" <td>33</td>\n",
|
| 1816 |
+
" <td>0.593700</td>\n",
|
| 1817 |
+
" </tr>\n",
|
| 1818 |
+
" <tr>\n",
|
| 1819 |
+
" <td>34</td>\n",
|
| 1820 |
+
" <td>0.609600</td>\n",
|
| 1821 |
+
" </tr>\n",
|
| 1822 |
+
" <tr>\n",
|
| 1823 |
+
" <td>35</td>\n",
|
| 1824 |
+
" <td>0.579500</td>\n",
|
| 1825 |
+
" </tr>\n",
|
| 1826 |
+
" <tr>\n",
|
| 1827 |
+
" <td>36</td>\n",
|
| 1828 |
+
" <td>0.597300</td>\n",
|
| 1829 |
+
" </tr>\n",
|
| 1830 |
+
" <tr>\n",
|
| 1831 |
+
" <td>37</td>\n",
|
| 1832 |
+
" <td>0.562200</td>\n",
|
| 1833 |
+
" </tr>\n",
|
| 1834 |
+
" <tr>\n",
|
| 1835 |
+
" <td>38</td>\n",
|
| 1836 |
+
" <td>0.592100</td>\n",
|
| 1837 |
+
" </tr>\n",
|
| 1838 |
+
" <tr>\n",
|
| 1839 |
+
" <td>39</td>\n",
|
| 1840 |
+
" <td>0.562600</td>\n",
|
| 1841 |
+
" </tr>\n",
|
| 1842 |
+
" <tr>\n",
|
| 1843 |
+
" <td>40</td>\n",
|
| 1844 |
+
" <td>0.567200</td>\n",
|
| 1845 |
+
" </tr>\n",
|
| 1846 |
+
" <tr>\n",
|
| 1847 |
+
" <td>41</td>\n",
|
| 1848 |
+
" <td>0.538800</td>\n",
|
| 1849 |
+
" </tr>\n",
|
| 1850 |
+
" <tr>\n",
|
| 1851 |
+
" <td>42</td>\n",
|
| 1852 |
+
" <td>0.590200</td>\n",
|
| 1853 |
+
" </tr>\n",
|
| 1854 |
+
" <tr>\n",
|
| 1855 |
+
" <td>43</td>\n",
|
| 1856 |
+
" <td>0.561600</td>\n",
|
| 1857 |
+
" </tr>\n",
|
| 1858 |
+
" <tr>\n",
|
| 1859 |
+
" <td>44</td>\n",
|
| 1860 |
+
" <td>0.570400</td>\n",
|
| 1861 |
+
" </tr>\n",
|
| 1862 |
+
" <tr>\n",
|
| 1863 |
+
" <td>45</td>\n",
|
| 1864 |
+
" <td>0.529900</td>\n",
|
| 1865 |
+
" </tr>\n",
|
| 1866 |
+
" <tr>\n",
|
| 1867 |
+
" <td>46</td>\n",
|
| 1868 |
+
" <td>0.577500</td>\n",
|
| 1869 |
+
" </tr>\n",
|
| 1870 |
+
" <tr>\n",
|
| 1871 |
+
" <td>47</td>\n",
|
| 1872 |
+
" <td>0.591800</td>\n",
|
| 1873 |
+
" </tr>\n",
|
| 1874 |
+
" <tr>\n",
|
| 1875 |
+
" <td>48</td>\n",
|
| 1876 |
+
" <td>0.585600</td>\n",
|
| 1877 |
+
" </tr>\n",
|
| 1878 |
+
" <tr>\n",
|
| 1879 |
+
" <td>49</td>\n",
|
| 1880 |
+
" <td>0.564800</td>\n",
|
| 1881 |
+
" </tr>\n",
|
| 1882 |
+
" <tr>\n",
|
| 1883 |
+
" <td>50</td>\n",
|
| 1884 |
+
" <td>0.551400</td>\n",
|
| 1885 |
+
" </tr>\n",
|
| 1886 |
+
" </tbody>\n",
|
| 1887 |
+
"</table><p>"
|
| 1888 |
+
]
|
| 1889 |
+
},
|
| 1890 |
+
"metadata": {}
|
| 1891 |
+
}
|
| 1892 |
+
]
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"cell_type": "code",
|
| 1896 |
+
"source": [
|
| 1897 |
+
"FastLanguageModel.for_inference(model) # Enable native 2x faster inference\n",
|
| 1898 |
+
"inputs = tokenizer(\n",
|
| 1899 |
+
"[\n",
|
| 1900 |
+
" qa_prompt.format(\n",
|
| 1901 |
+
" \"What is 3+8?\",\n",
|
| 1902 |
+
" \"What is 3+8?\",\n",
|
| 1903 |
+
" \"\",\n",
|
| 1904 |
+
" )\n",
|
| 1905 |
+
"], return_tensors = \"pt\").to(\"cuda\")\n",
|
| 1906 |
+
"\n",
|
| 1907 |
+
"outputs = model.generate(**inputs, max_new_tokens = 128, use_cache = True)\n",
|
| 1908 |
+
"tokenizer.batch_decode(outputs)"
|
| 1909 |
+
],
|
| 1910 |
+
"metadata": {
|
| 1911 |
+
"id": "a-xjHIy269KP",
|
| 1912 |
+
"colab": {
|
| 1913 |
+
"base_uri": "https://localhost:8080/"
|
| 1914 |
+
},
|
| 1915 |
+
"outputId": "122559de-ac3e-4e20-d0d3-8ce7e89fd395"
|
| 1916 |
+
},
|
| 1917 |
+
"execution_count": 11,
|
| 1918 |
+
"outputs": [
|
| 1919 |
+
{
|
| 1920 |
+
"output_type": "execute_result",
|
| 1921 |
+
"data": {
|
| 1922 |
+
"text/plain": [
|
| 1923 |
+
"[\"<|begin_of_text|>Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\\n\\n### Instruction:\\nAnswer the user's question accurately based *only* on the provided context.\\n\\n### Context:\\nWhat is 3+8?\\n\\n### Question:\\nWhat is 3+8?\\n\\n### Response:\\nThe answer is 11.\\nThe sum of 3 and 8 is 11.\\n#### 3+8=11\\nThe answer is: 11<|end_of_text|>\"]"
|
| 1924 |
+
]
|
| 1925 |
+
},
|
| 1926 |
+
"metadata": {},
|
| 1927 |
+
"execution_count": 11
|
| 1928 |
+
}
|
| 1929 |
+
]
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"cell_type": "code",
|
| 1933 |
+
"source": [
|
| 1934 |
+
"model.save_pretrained_merged(\"model\", tokenizer, save_method = \"merged_16bit\",)"
|
| 1935 |
+
],
|
| 1936 |
+
"metadata": {
|
| 1937 |
+
"colab": {
|
| 1938 |
+
"base_uri": "https://localhost:8080/",
|
| 1939 |
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"height": 413,
|
| 1940 |
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"referenced_widgets": [
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| 1941 |
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| 1959 |
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| 1960 |
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| 1978 |
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| 1979 |
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|
| 1980 |
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|
| 1981 |
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|
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|
| 1983 |
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|
| 1984 |
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"c534c9d6492f472fa2bddc4dd35a4ad4"
|
| 1985 |
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]
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| 1986 |
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|
| 1987 |
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"id": "UPOtyS1c7q6f",
|
| 1988 |
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"outputId": "8de042b2-d8c9-4723-bf51-ca391af8e482"
|
| 1989 |
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},
|
| 1990 |
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"execution_count": 12,
|
| 1991 |
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"outputs": [
|
| 1992 |
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{
|
| 1993 |
+
"output_type": "stream",
|
| 1994 |
+
"name": "stdout",
|
| 1995 |
+
"text": [
|
| 1996 |
+
"Found HuggingFace hub cache directory: /root/.cache/huggingface/hub\n",
|
| 1997 |
+
"Checking cache directory for required files...\n",
|
| 1998 |
+
"Cache check failed: model-00001-of-00004.safetensors not found in local cache.\n",
|
| 1999 |
+
"Not all required files found in cache. Will proceed with downloading.\n",
|
| 2000 |
+
"Checking cache directory for required files...\n",
|
| 2001 |
+
"Cache check failed: tokenizer.model not found in local cache.\n",
|
| 2002 |
+
"Not all required files found in cache. Will proceed with downloading.\n"
|
| 2003 |
+
]
|
| 2004 |
+
},
|
| 2005 |
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{
|
| 2006 |
+
"output_type": "stream",
|
| 2007 |
+
"name": "stderr",
|
| 2008 |
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"text": [
|
| 2009 |
+
"\rUnsloth: Preparing safetensor model files: 0%| | 0/4 [00:00<?, ?it/s]"
|
| 2010 |
+
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|
| 2011 |
+
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|
| 2012 |
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{
|
| 2013 |
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"output_type": "display_data",
|
| 2014 |
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"data": {
|
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"text/plain": [
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|
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"application/vnd.jupyter.widget-view+json": {
|
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"version_major": 2,
|
| 2020 |
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"version_minor": 0,
|
| 2021 |
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"model_id": "038f9418a1b642dcae983797720afdee"
|
| 2022 |
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|
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| 2027 |
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"output_type": "stream",
|
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"name": "stderr",
|
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"text": [
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"\rUnsloth: Preparing safetensor model files: 25%|βββ | 1/4 [04:29<13:27, 269.19s/it]"
|
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| 2034 |
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"output_type": "stream",
|
| 2049 |
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"name": "stderr",
|
| 2050 |
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"text": [
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| 2051 |
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"\rUnsloth: Preparing safetensor model files: 50%|βββββ | 2/4 [07:39<07:25, 222.71s/it]"
|
| 2052 |
+
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|
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| 2055 |
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"output_type": "display_data",
|
| 2056 |
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|
| 2064 |
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|
| 2065 |
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|
| 2066 |
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|
| 2067 |
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},
|
| 2068 |
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|
| 2069 |
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"output_type": "stream",
|
| 2070 |
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"name": "stderr",
|
| 2071 |
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"text": [
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|
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|
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}
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| 2086 |
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},
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| 2087 |
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"metadata": {}
|
| 2088 |
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},
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| 2089 |
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{
|
| 2090 |
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"output_type": "stream",
|
| 2091 |
+
"name": "stderr",
|
| 2092 |
+
"text": [
|
| 2093 |
+
"Unsloth: Preparing safetensor model files: 100%|ββββββββββ| 4/4 [15:15<00:00, 228.92s/it]\n"
|
| 2094 |
+
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|
| 2095 |
+
},
|
| 2096 |
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{
|
| 2097 |
+
"output_type": "stream",
|
| 2098 |
+
"name": "stdout",
|
| 2099 |
+
"text": [
|
| 2100 |
+
"Note: tokenizer.model not found (this is OK for non-SentencePiece models)\n"
|
| 2101 |
+
]
|
| 2102 |
+
},
|
| 2103 |
+
{
|
| 2104 |
+
"output_type": "stream",
|
| 2105 |
+
"name": "stderr",
|
| 2106 |
+
"text": [
|
| 2107 |
+
"Unsloth: Merging weights into 16bit: 100%|ββββββββββ| 4/4 [08:29<00:00, 127.42s/it]\n"
|
| 2108 |
+
]
|
| 2109 |
+
},
|
| 2110 |
+
{
|
| 2111 |
+
"output_type": "stream",
|
| 2112 |
+
"name": "stdout",
|
| 2113 |
+
"text": [
|
| 2114 |
+
"Unsloth: Merge process complete. Saved to `/content/model`\n"
|
| 2115 |
+
]
|
| 2116 |
+
}
|
| 2117 |
+
]
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"cell_type": "code",
|
| 2121 |
+
"source": [
|
| 2122 |
+
"model.save_pretrained_gguf(\"model\", tokenizer, quantization_method = \"f16\")"
|
| 2123 |
+
],
|
| 2124 |
+
"metadata": {
|
| 2125 |
+
"colab": {
|
| 2126 |
+
"base_uri": "https://localhost:8080/"
|
| 2127 |
+
},
|
| 2128 |
+
"id": "FqWafrWG8ope",
|
| 2129 |
+
"outputId": "57d65131-fd04-43d7-91ef-5ba2833c95a0"
|
| 2130 |
+
},
|
| 2131 |
+
"execution_count": null,
|
| 2132 |
+
"outputs": [
|
| 2133 |
+
{
|
| 2134 |
+
"output_type": "stream",
|
| 2135 |
+
"name": "stdout",
|
| 2136 |
+
"text": [
|
| 2137 |
+
"Unsloth: Merging model weights to 16-bit format...\n",
|
| 2138 |
+
"Found HuggingFace hub cache directory: /root/.cache/huggingface/hub\n",
|
| 2139 |
+
"Checking cache directory for required files...\n",
|
| 2140 |
+
"Cache check failed: model-00001-of-00004.safetensors not found in local cache.\n",
|
| 2141 |
+
"Not all required files found in cache. Will proceed with downloading.\n",
|
| 2142 |
+
"Checking cache directory for required files...\n",
|
| 2143 |
+
"Cache check failed: tokenizer.model not found in local cache.\n",
|
| 2144 |
+
"Not all required files found in cache. Will proceed with downloading.\n"
|
| 2145 |
+
]
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"output_type": "stream",
|
| 2149 |
+
"name": "stderr",
|
| 2150 |
+
"text": [
|
| 2151 |
+
"Unsloth: Preparing safetensor model files: 100%|ββββββββββ| 4/4 [00:00<00:00, 30120.68it/s]\n"
|
| 2152 |
+
]
|
| 2153 |
+
},
|
| 2154 |
+
{
|
| 2155 |
+
"output_type": "stream",
|
| 2156 |
+
"name": "stdout",
|
| 2157 |
+
"text": [
|
| 2158 |
+
"Note: tokenizer.model not found (this is OK for non-SentencePiece models)\n"
|
| 2159 |
+
]
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"output_type": "stream",
|
| 2163 |
+
"name": "stderr",
|
| 2164 |
+
"text": [
|
| 2165 |
+
"Unsloth: Merging weights into 16bit: 100%|ββββββββββ| 4/4 [12:22<00:00, 185.56s/it]\n"
|
| 2166 |
+
]
|
| 2167 |
+
},
|
| 2168 |
+
{
|
| 2169 |
+
"output_type": "stream",
|
| 2170 |
+
"name": "stdout",
|
| 2171 |
+
"text": [
|
| 2172 |
+
"Unsloth: Merge process complete. Saved to `/content/model`\n",
|
| 2173 |
+
"Unsloth: Converting to GGUF format...\n",
|
| 2174 |
+
"==((====))== Unsloth: Conversion from HF to GGUF information\n",
|
| 2175 |
+
" \\\\ /| [0] Installing llama.cpp might take 3 minutes.\n",
|
| 2176 |
+
"O^O/ \\_/ \\ [1] Converting HF to GGUF f16 might take 3 minutes.\n",
|
| 2177 |
+
"\\ / [2] Converting GGUF f16 to ['f16'] might take 10 minutes each.\n",
|
| 2178 |
+
" \"-____-\" In total, you will have to wait at least 16 minutes.\n",
|
| 2179 |
+
"\n",
|
| 2180 |
+
"Unsloth: Installing llama.cpp. This might take 3 minutes...\n",
|
| 2181 |
+
"Unsloth: Updating system package directories\n",
|
| 2182 |
+
"Unsloth: All required system packages already installed!\n",
|
| 2183 |
+
"Unsloth: Install llama.cpp and building - please wait 1 to 3 minutes\n",
|
| 2184 |
+
"Unsloth: Cloning llama.cpp repository\n",
|
| 2185 |
+
"Unsloth: Install GGUF and other packages\n"
|
| 2186 |
+
]
|
| 2187 |
+
}
|
| 2188 |
+
]
|
| 2189 |
+
},
|
| 2190 |
+
{
|
| 2191 |
+
"cell_type": "code",
|
| 2192 |
+
"source": [
|
| 2193 |
+
"%pwd"
|
| 2194 |
+
],
|
| 2195 |
+
"metadata": {
|
| 2196 |
+
"colab": {
|
| 2197 |
+
"base_uri": "https://localhost:8080/",
|
| 2198 |
+
"height": 35
|
| 2199 |
+
},
|
| 2200 |
+
"id": "oz024lasDTDm",
|
| 2201 |
+
"outputId": "afb7f9b7-e428-457a-bbbd-909b2bbfe26c"
|
| 2202 |
+
},
|
| 2203 |
+
"execution_count": 1,
|
| 2204 |
+
"outputs": [
|
| 2205 |
+
{
|
| 2206 |
+
"output_type": "execute_result",
|
| 2207 |
+
"data": {
|
| 2208 |
+
"text/plain": [
|
| 2209 |
+
"'/content'"
|
| 2210 |
+
],
|
| 2211 |
+
"application/vnd.google.colaboratory.intrinsic+json": {
|
| 2212 |
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"type": "string"
|
| 2213 |
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|
| 2214 |
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},
|
| 2215 |
+
"metadata": {},
|
| 2216 |
+
"execution_count": 1
|
| 2217 |
+
}
|
| 2218 |
+
]
|
| 2219 |
+
},
|
| 2220 |
+
{
|
| 2221 |
+
"cell_type": "code",
|
| 2222 |
+
"source": [],
|
| 2223 |
+
"metadata": {
|
| 2224 |
+
"id": "FS7sB8u1Dibe"
|
| 2225 |
+
},
|
| 2226 |
+
"execution_count": null,
|
| 2227 |
+
"outputs": []
|
| 2228 |
+
}
|
| 2229 |
+
]
|
| 2230 |
+
}
|