richarderkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf overview

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    "summary": "`` from transformers import AutoModelForCausalLM, AutoTokenizer import torch path = \"mssma/ko-solar-10.7b-v0.2b\" model = AutoModelForCausalLM.from_pretrained( path, return_dict=True, torch_dtype=torch.float16, device_map='auto' ) tokenizer = AutoTokenizer.from_pretrained(path) ``",
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    "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\nko-solar-10.7b-v0.2b - GGUF\n- Model creator: https://huggingface.co/mssma/\n- Original model: https://huggingface.co/mssma/ko-solar-10.7b-v0.2b/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [ko-solar-10.7b-v0.2b.Q2_K.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q2_K.gguf) | Q2_K | 3.79GB |\n| [ko-solar-10.7b-v0.2b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.IQ3_XS.gguf) | IQ3_XS | 4.21GB |\n| [ko-solar-10.7b-v0.2b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.IQ3_S.gguf) | IQ3_S | 4.44GB |\n| [ko-solar-10.7b-v0.2b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q3_K_S.gguf) | Q3_K_S | 4.41GB |\n| [ko-solar-10.7b-v0.2b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.IQ3_M.gguf) | IQ3_M | 4.58GB |\n| [ko-solar-10.7b-v0.2b.Q3_K.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q3_K.gguf) | Q3_K | 4.91GB |\n| [ko-solar-10.7b-v0.2b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q3_K_M.gguf) | Q3_K_M | 4.91GB |\n| [ko-solar-10.7b-v0.2b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q3_K_L.gguf) | Q3_K_L | 5.33GB |\n| [ko-solar-10.7b-v0.2b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.IQ4_XS.gguf) | IQ4_XS | 5.5GB |\n| [ko-solar-10.7b-v0.2b.Q4_0.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q4_0.gguf) | Q4_0 | 5.73GB |\n| [ko-solar-10.7b-v0.2b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.IQ4_NL.gguf) | IQ4_NL | 5.8GB |\n| [ko-solar-10.7b-v0.2b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q4_K_S.gguf) | Q4_K_S | 5.78GB |\n| [ko-solar-10.7b-v0.2b.Q4_K.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q4_K.gguf) | Q4_K | 6.1GB |\n| [ko-solar-10.7b-v0.2b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q4_K_M.gguf) | Q4_K_M | 6.1GB |\n| [ko-solar-10.7b-v0.2b.Q4_1.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q4_1.gguf) | Q4_1 | 6.35GB |\n| [ko-solar-10.7b-v0.2b.Q5_0.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q5_0.gguf) | Q5_0 | 6.97GB |\n| [ko-solar-10.7b-v0.2b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q5_K_S.gguf) | Q5_K_S | 6.97GB |\n| [ko-solar-10.7b-v0.2b.Q5_K.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q5_K.gguf) | Q5_K | 7.16GB |\n| [ko-solar-10.7b-v0.2b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q5_K_M.gguf) | Q5_K_M | 7.16GB |\n| [ko-solar-10.7b-v0.2b.Q5_1.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q5_1.gguf) | Q5_1 | 7.59GB |\n| [ko-solar-10.7b-v0.2b.Q6_K.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q6_K.gguf) | Q6_K | 8.29GB |\n| [ko-solar-10.7b-v0.2b.Q8_0.gguf](https://huggingface.co/RichardErkhov/mssma_-_ko-solar-10.7b-v0.2b-gguf/blob/main/ko-solar-10.7b-v0.2b.Q8_0.gguf) | Q8_0 | 10.74GB |\n\n\n\n\nOriginal model description:\n---\nlibrary_name: transformers\nlicense: apache-2.0\nlanguage:\n- ko\n---\n\n# usage\n```\n\nfrom transformers import AutoModelForCausalLM, AutoTokenizer\nimport torch\n\npath = \"mssma/ko-solar-10.7b-v0.2b\"\nmodel = AutoModelForCausalLM.from_pretrained(\n        path,\n        return_dict=True,\n        torch_dtype=torch.float16,\n        device_map='auto'\n)\ntokenizer = AutoTokenizer.from_pretrained(path)\n```\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us"
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  "last_modified": "2024-07-29T10:27:30.000Z",
  "created_at": "2024-07-29T01:49:36.000Z",
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