richarderkhov/inna432_-_chat_model_yunbora-v.7-gguf overview

{
  "metadata": {},
  "card_data": {
    "frontmatter": {},
    "hero_image_url": "https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png",
    "summary": "This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.",
    "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\nchat_model_yunbora-v.7 - GGUF\n- Model creator: https://huggingface.co/Inna432/\n- Original model: https://huggingface.co/Inna432/chat_model_yunbora-v.7/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [chat_model_yunbora-v.7.Q2_K.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q2_K.gguf) | Q2_K | 0.4GB |\n| [chat_model_yunbora-v.7.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.IQ3_XS.gguf) | IQ3_XS | 0.44GB |\n| [chat_model_yunbora-v.7.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.IQ3_S.gguf) | IQ3_S | 0.47GB |\n| [chat_model_yunbora-v.7.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q3_K_S.gguf) | Q3_K_S | 0.47GB |\n| [chat_model_yunbora-v.7.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.IQ3_M.gguf) | IQ3_M | 0.48GB |\n| [chat_model_yunbora-v.7.Q3_K.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q3_K.gguf) | Q3_K | 0.51GB |\n| [chat_model_yunbora-v.7.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q3_K_M.gguf) | Q3_K_M | 0.51GB |\n| [chat_model_yunbora-v.7.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q3_K_L.gguf) | Q3_K_L | 0.55GB |\n| [chat_model_yunbora-v.7.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.IQ4_XS.gguf) | IQ4_XS | 0.57GB |\n| [chat_model_yunbora-v.7.Q4_0.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q4_0.gguf) | Q4_0 | 0.59GB |\n| [chat_model_yunbora-v.7.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.IQ4_NL.gguf) | IQ4_NL | 0.6GB |\n| [chat_model_yunbora-v.7.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q4_K_S.gguf) | Q4_K_S | 0.6GB |\n| [chat_model_yunbora-v.7.Q4_K.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q4_K.gguf) | Q4_K | 0.62GB |\n| [chat_model_yunbora-v.7.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q4_K_M.gguf) | Q4_K_M | 0.62GB |\n| [chat_model_yunbora-v.7.Q4_1.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q4_1.gguf) | Q4_1 | 0.65GB |\n| [chat_model_yunbora-v.7.Q5_0.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q5_0.gguf) | Q5_0 | 0.71GB |\n| [chat_model_yunbora-v.7.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q5_K_S.gguf) | Q5_K_S | 0.71GB |\n| [chat_model_yunbora-v.7.Q5_K.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q5_K.gguf) | Q5_K | 0.73GB |\n| [chat_model_yunbora-v.7.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q5_K_M.gguf) | Q5_K_M | 0.73GB |\n| [chat_model_yunbora-v.7.Q5_1.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q5_1.gguf) | Q5_1 | 0.77GB |\n| [chat_model_yunbora-v.7.Q6_K.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q6_K.gguf) | Q6_K | 0.84GB |\n| [chat_model_yunbora-v.7.Q8_0.gguf](https://huggingface.co/RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf/blob/main/chat_model_yunbora-v.7.Q8_0.gguf) | Q8_0 | 1.09GB |\n\n\n\n\nOriginal model description:\n---\nbase_model: unsloth/tinyllama-chat-bnb-4bit\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- llama\n- trl\n- sft\nlicense: apache-2.0\nlanguage:\n- en\n---\n\n# Uploaded  model\n\n- **Developed by:** Inna432\n- **License:** apache-2.0\n- **Finetuned from model :** unsloth/tinyllama-chat-bnb-4bit\n\nThis llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.\n\n[<img src=\"https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png\" width=\"200\"/>](https://github.com/unslothai/unsloth)\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 2048,
  "gated": false,
  "private": false,
  "last_modified": "2025-03-17T06:05:15.000Z",
  "created_at": "2025-03-17T05:40:28.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

{
  "_id": "67d7b5cc6c7d0d0bb4945880",
  "id": "RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf",
  "modelId": "RichardErkhov/Inna432_-_chat_model_yunbora-v.7-gguf",
  "sha": "7ded0ec400e15c087dfa50861bca4c69df30df94",
  "createdAt": "2025-03-17T05:40:28.000Z",
  "lastModified": "2025-03-17T06:05:15.000Z",
  "author": "RichardErkhov",
  "downloads": 2048,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 24
}