richarderkhov/honghak_-_qwen2.5-0.5b-instruct-sft-0.2-gguf overview

{
  "metadata": {},
  "card_data": {
    "frontmatter": {},
    "hero_image_url": "",
    "summary": "This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on an unknown dataset.",
    "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\nQwen2.5-0.5B-Instruct-SFT-0.2 - GGUF\n- Model creator: https://huggingface.co/honghak/\n- Original model: https://huggingface.co/honghak/Qwen2.5-0.5B-Instruct-SFT-0.2/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q2_K.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q2_K.gguf) | Q2_K | 0.32GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q3_K_S.gguf) | Q3_K_S | 0.32GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q3_K.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q3_K.gguf) | Q3_K | 0.33GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q3_K_M.gguf) | Q3_K_M | 0.33GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q3_K_L.gguf) | Q3_K_L | 0.34GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.IQ4_XS.gguf) | IQ4_XS | 0.33GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q4_0.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q4_0.gguf) | Q4_0 | 0.33GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.IQ4_NL.gguf) | IQ4_NL | 0.33GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q4_K_S.gguf) | Q4_K_S | 0.36GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q4_K.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q4_K.gguf) | Q4_K | 0.37GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q4_K_M.gguf) | Q4_K_M | 0.37GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q4_1.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q4_1.gguf) | Q4_1 | 0.35GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q5_0.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q5_0.gguf) | Q5_0 | 0.37GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q5_K_S.gguf) | Q5_K_S | 0.38GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q5_K.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q5_K.gguf) | Q5_K | 0.39GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q5_K_M.gguf) | Q5_K_M | 0.39GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q5_1.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q5_1.gguf) | Q5_1 | 0.39GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q6_K.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q6_K.gguf) | Q6_K | 0.47GB |\n| [Qwen2.5-0.5B-Instruct-SFT-0.2.Q8_0.gguf](https://huggingface.co/RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf/blob/main/Qwen2.5-0.5B-Instruct-SFT-0.2.Q8_0.gguf) | Q8_0 | 0.49GB |\n\n\n\n\nOriginal model description:\n---\nlibrary_name: transformers\nlicense: apache-2.0\nbase_model: Qwen/Qwen2.5-0.5B-Instruct\ntags:\n- trl\n- sft\n- generated_from_trainer\nmodel-index:\n- name: Qwen2.5-0.5B-Instruct-SFT-0.2\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# Qwen2.5-0.5B-Instruct-SFT-0.2\n\nThis model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on an unknown dataset.\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: 0.0001\n- train_batch_size: 16\n- eval_batch_size: 8\n- seed: 42\n- gradient_accumulation_steps: 8\n- total_train_batch_size: 128\n- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n- lr_scheduler_type: cosine\n- lr_scheduler_warmup_steps: 500\n- num_epochs: 30\n\n### Training results\n\n\n\n### Framework versions\n\n- Transformers 4.45.2\n- Pytorch 2.3.1+cu121\n- Datasets 2.20.0\n- Tokenizers 0.20.0\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 108,
  "gated": false,
  "private": false,
  "last_modified": "2024-10-29T15:36:16.000Z",
  "created_at": "2024-10-29T15:04:42.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

{
  "_id": "6720f98ad3084146faea86a4",
  "id": "RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf",
  "modelId": "RichardErkhov/honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-gguf",
  "sha": "39837ed40e21e2fa3d47c53facc6490c0c231625",
  "createdAt": "2024-10-29T15:04:42.000Z",
  "lastModified": "2024-10-29T15:36:16.000Z",
  "author": "RichardErkhov",
  "downloads": 108,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 21
}