richarderkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf overview

{
  "metadata": {},
  "card_data": {
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    "summary": "This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the barc0/transduction_angmented_100k-gpt4-description-gpt4omini-code_generated_problems, the barc0/transduction_angmented_100k_gpt4o-mini_generated_problems and the barc0/transduction_rearc_dataset_400k datasets. It achieves the following results on the evaluation set:",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nllama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4 - GGUF\n- Model creator: https://huggingface.co/barc0/\n- Original model: https://huggingface.co/barc0/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q2_K.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q2_K.gguf) | Q2_K | 0.54GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.IQ3_XS.gguf) | IQ3_XS | 0.58GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.IQ3_S.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.IQ3_S.gguf) | IQ3_S | 0.6GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q3_K_S.gguf) | Q3_K_S | 0.6GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.IQ3_M.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.IQ3_M.gguf) | IQ3_M | 0.61GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q3_K.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q3_K.gguf) | Q3_K | 0.64GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q3_K_M.gguf) | Q3_K_M | 0.64GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q3_K_L.gguf) | Q3_K_L | 0.68GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.IQ4_XS.gguf) | IQ4_XS | 0.7GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q4_0.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q4_0.gguf) | Q4_0 | 0.72GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.IQ4_NL.gguf) | IQ4_NL | 0.72GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q4_K_S.gguf) | Q4_K_S | 0.72GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q4_K.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q4_K.gguf) | Q4_K | 0.75GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q4_K_M.gguf) | Q4_K_M | 0.75GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q4_1.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q4_1.gguf) | Q4_1 | 0.77GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q5_0.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q5_0.gguf) | Q5_0 | 0.83GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q5_K_S.gguf) | Q5_K_S | 0.83GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q5_K.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q5_K.gguf) | Q5_K | 0.85GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q5_K_M.gguf) | Q5_K_M | 0.85GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q5_1.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q5_1.gguf) | Q5_1 | 0.89GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q6_K.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q6_K.gguf) | Q6_K | 0.95GB |\n| [llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q8_0.gguf](https://huggingface.co/RichardErkhov/barc0_-_llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4-gguf/blob/main/llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4.Q8_0.gguf) | Q8_0 | 1.23GB |\n\n\n\n\nOriginal model description:\n---\nlibrary_name: transformers\nlicense: llama3.2\nbase_model: meta-llama/Llama-3.2-1B-Instruct\ntags:\n- alignment-handbook\n- trl\n- sft\n- generated_from_trainer\n- trl\n- sft\n- generated_from_trainer\ndatasets:\n- barc0/transduction_angmented_100k-gpt4-description-gpt4omini-code_generated_problems\n- barc0/transduction_angmented_100k_gpt4o-mini_generated_problems\n- barc0/transduction_rearc_dataset_400k\nmodel-index:\n- name: llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4\n  results: []\n---\n\n<!-- This model card has been generated automatically according to the information the Trainer had access to. You\nshould probably proofread and complete it, then remove this comment. -->\n\n# llama3.2-1b-instruct-fft-transduction-engineer_lr1e-5_epoch4\n\nThis model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the barc0/transduction_angmented_100k-gpt4-description-gpt4omini-code_generated_problems, the barc0/transduction_angmented_100k_gpt4o-mini_generated_problems and the barc0/transduction_rearc_dataset_400k datasets.\nIt achieves the following results on the evaluation set:\n- Loss: 0.0409\n\n## Model description\n\nMore information needed\n\n## Intended uses & limitations\n\nMore information needed\n\n## Training and evaluation data\n\nMore information needed\n\n## Training procedure\n\n### Training hyperparameters\n\nThe following hyperparameters were used during training:\n- learning_rate: 1e-05\n- train_batch_size: 16\n- eval_batch_size: 8\n- seed: 42\n- distributed_type: multi-GPU\n- num_devices: 8\n- gradient_accumulation_steps: 2\n- total_train_batch_size: 256\n- total_eval_batch_size: 64\n- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n- lr_scheduler_type: cosine\n- lr_scheduler_warmup_ratio: 0.1\n- num_epochs: 4\n\n### Training results\n\n| Training Loss | Epoch | Step | Validation Loss |\n|:-------------:|:-----:|:----:|:---------------:|\n| 0.0618        | 1.0   | 1126 | 0.0657          |\n| 0.0504        | 2.0   | 2252 | 0.0494          |\n| 0.0363        | 3.0   | 3378 | 0.0418          |\n| 0.0238        | 4.0   | 4504 | 0.0409          |\n\n\n### Framework versions\n\n- Transformers 4.45.0.dev0\n- Pytorch 2.4.0+cu121\n- Datasets 3.0.1\n- Tokenizers 0.19.1\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 111,
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  "last_modified": "2024-10-16T16:48:49.000Z",
  "created_at": "2024-10-16T16:21:09.000Z",
  "pipeline_tag": "",
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