richarderkhov/ehristoforu_-_qwen2-1.5b-it-math-gguf overview

{
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  "card_data": {
    "frontmatter": {},
    "hero_image_url": "https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png",
    "summary": "This qwen2 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\nQwen2-1.5b-it-math - GGUF\n- Model creator: https://huggingface.co/ehristoforu/\n- Original model: https://huggingface.co/ehristoforu/Qwen2-1.5b-it-math/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Qwen2-1.5b-it-math.Q2_K.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q2_K.gguf) | Q2_K | 0.63GB |\n| [Qwen2-1.5b-it-math.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.IQ3_XS.gguf) | IQ3_XS | 0.68GB |\n| [Qwen2-1.5b-it-math.IQ3_S.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.IQ3_S.gguf) | IQ3_S | 0.71GB |\n| [Qwen2-1.5b-it-math.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q3_K_S.gguf) | Q3_K_S | 0.71GB |\n| [Qwen2-1.5b-it-math.IQ3_M.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.IQ3_M.gguf) | IQ3_M | 0.72GB |\n| [Qwen2-1.5b-it-math.Q3_K.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q3_K.gguf) | Q3_K | 0.77GB |\n| [Qwen2-1.5b-it-math.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q3_K_M.gguf) | Q3_K_M | 0.77GB |\n| [Qwen2-1.5b-it-math.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q3_K_L.gguf) | Q3_K_L | 0.82GB |\n| [Qwen2-1.5b-it-math.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.IQ4_XS.gguf) | IQ4_XS | 0.84GB |\n| [Qwen2-1.5b-it-math.Q4_0.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q4_0.gguf) | Q4_0 | 0.87GB |\n| [Qwen2-1.5b-it-math.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.IQ4_NL.gguf) | IQ4_NL | 0.88GB |\n| [Qwen2-1.5b-it-math.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q4_K_S.gguf) | Q4_K_S | 0.88GB |\n| [Qwen2-1.5b-it-math.Q4_K.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q4_K.gguf) | Q4_K | 0.92GB |\n| [Qwen2-1.5b-it-math.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q4_K_M.gguf) | Q4_K_M | 0.92GB |\n| [Qwen2-1.5b-it-math.Q4_1.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q4_1.gguf) | Q4_1 | 0.95GB |\n| [Qwen2-1.5b-it-math.Q5_0.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q5_0.gguf) | Q5_0 | 1.02GB |\n| [Qwen2-1.5b-it-math.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q5_K_S.gguf) | Q5_K_S | 1.02GB |\n| [Qwen2-1.5b-it-math.Q5_K.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q5_K.gguf) | Q5_K | 1.05GB |\n| [Qwen2-1.5b-it-math.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q5_K_M.gguf) | Q5_K_M | 1.05GB |\n| [Qwen2-1.5b-it-math.Q5_1.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q5_1.gguf) | Q5_1 | 1.1GB |\n| [Qwen2-1.5b-it-math.Q6_K.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q6_K.gguf) | Q6_K | 1.19GB |\n| [Qwen2-1.5b-it-math.Q8_0.gguf](https://huggingface.co/RichardErkhov/ehristoforu_-_Qwen2-1.5b-it-math-gguf/blob/main/Qwen2-1.5b-it-math.Q8_0.gguf) | Q8_0 | 1.53GB |\n\n\n\n\nOriginal model description:\n---\nbase_model: unsloth/qwen2-1.5b-instruct-bnb-4bit\nlanguage:\n- en\nlicense: apache-2.0\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- qwen2\n- trl\n- sft\n---\n\n# Uploaded  model\n\n- **Developed by:** ehristoforu\n- **License:** apache-2.0\n- **Finetuned from model :** unsloth/qwen2-1.5b-instruct-bnb-4bit\n\nThis qwen2 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": 133,
  "gated": false,
  "private": false,
  "last_modified": "2024-08-25T19:47:24.000Z",
  "created_at": "2024-08-25T19:14:49.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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  "createdAt": "2024-08-25T19:14:49.000Z",
  "lastModified": "2024-08-25T19:47:24.000Z",
  "author": "RichardErkhov",
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  "siblings_count": 24
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