richarderkhov/hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf overview

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    "summary": "This is a merge of pre-trained language models created using mergekit.",
    "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\nmergekit-ties-xzdpqzs - GGUF\n- Model creator: https://huggingface.co/Hjgugugjhuhjggg/\n- Original model: https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-xzdpqzs/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [mergekit-ties-xzdpqzs.Q2_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q2_K.gguf) | Q2_K | 0.54GB |\n| [mergekit-ties-xzdpqzs.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.IQ3_XS.gguf) | IQ3_XS | 0.58GB |\n| [mergekit-ties-xzdpqzs.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.IQ3_S.gguf) | IQ3_S | 0.6GB |\n| [mergekit-ties-xzdpqzs.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q3_K_S.gguf) | Q3_K_S | 0.6GB |\n| [mergekit-ties-xzdpqzs.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.IQ3_M.gguf) | IQ3_M | 0.61GB |\n| [mergekit-ties-xzdpqzs.Q3_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q3_K.gguf) | Q3_K | 0.64GB |\n| [mergekit-ties-xzdpqzs.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q3_K_M.gguf) | Q3_K_M | 0.64GB |\n| [mergekit-ties-xzdpqzs.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q3_K_L.gguf) | Q3_K_L | 0.68GB |\n| [mergekit-ties-xzdpqzs.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.IQ4_XS.gguf) | IQ4_XS | 0.7GB |\n| [mergekit-ties-xzdpqzs.Q4_0.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q4_0.gguf) | Q4_0 | 0.72GB |\n| [mergekit-ties-xzdpqzs.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.IQ4_NL.gguf) | IQ4_NL | 0.72GB |\n| [mergekit-ties-xzdpqzs.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q4_K_S.gguf) | Q4_K_S | 0.72GB |\n| [mergekit-ties-xzdpqzs.Q4_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q4_K.gguf) | Q4_K | 0.75GB |\n| [mergekit-ties-xzdpqzs.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q4_K_M.gguf) | Q4_K_M | 0.75GB |\n| [mergekit-ties-xzdpqzs.Q4_1.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q4_1.gguf) | Q4_1 | 0.77GB |\n| [mergekit-ties-xzdpqzs.Q5_0.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q5_0.gguf) | Q5_0 | 0.83GB |\n| [mergekit-ties-xzdpqzs.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q5_K_S.gguf) | Q5_K_S | 0.83GB |\n| [mergekit-ties-xzdpqzs.Q5_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q5_K.gguf) | Q5_K | 0.85GB |\n| [mergekit-ties-xzdpqzs.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q5_K_M.gguf) | Q5_K_M | 0.85GB |\n| [mergekit-ties-xzdpqzs.Q5_1.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q5_1.gguf) | Q5_1 | 0.89GB |\n| [mergekit-ties-xzdpqzs.Q6_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q6_K.gguf) | Q6_K | 0.95GB |\n| [mergekit-ties-xzdpqzs.Q8_0.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-ties-xzdpqzs-gguf/blob/main/mergekit-ties-xzdpqzs.Q8_0.gguf) | Q8_0 | 1.23GB |\n\n\n\n\nOriginal model description:\n---\nbase_model:\n- huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged\n- jayavibhav/llama3.2_1b_CoT\n- huyhoangt2201/llama-3.2-1b-chat-sql3-merged\n- autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1\n- Alelcv27/llama3.2-1b-math-code\n- unsloth/Llama-3.2-1B-Instruct-bnb-4bit\n- meta-llama/Llama-3.2-1B\n- student-abdullah/Llama3.2-1B_Hinglish-Medicine-Dataset_Finetuning_28-09\n- meta-llama/Llama-3.2-1B-Instruct\n- MLking2/llama-3.2-1b-medical\n- autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\n\n---\n# merge\n\nThis is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).\n\n## Merge Details\n### Merge Method\n\nThis model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) as a base.\n\n### Models Merged\n\nThe following models were included in the merge:\n* [huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged](https://huggingface.co/huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged)\n* [jayavibhav/llama3.2_1b_CoT](https://huggingface.co/jayavibhav/llama3.2_1b_CoT)\n* [huyhoangt2201/llama-3.2-1b-chat-sql3-merged](https://huggingface.co/huyhoangt2201/llama-3.2-1b-chat-sql3-merged)\n* [autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1](https://huggingface.co/autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1)\n* [Alelcv27/llama3.2-1b-math-code](https://huggingface.co/Alelcv27/llama3.2-1b-math-code)\n* [unsloth/Llama-3.2-1B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-bnb-4bit)\n* [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B)\n* [student-abdullah/Llama3.2-1B_Hinglish-Medicine-Dataset_Finetuning_28-09](https://huggingface.co/student-abdullah/Llama3.2-1B_Hinglish-Medicine-Dataset_Finetuning_28-09)\n* [MLking2/llama-3.2-1b-medical](https://huggingface.co/MLking2/llama-3.2-1b-medical)\n* [autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear](https://huggingface.co/autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear)\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\nmerge_method: ties\narchitectures: [\"transformer\"]\nbase_model: meta-llama/Llama-3.2-1B-Instruct\n\nmodels:\n  - model: Alelcv27/llama3.2-1b-math-code\n  - model: huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged\n  - model: autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1\n  - model: meta-llama/Llama-3.2-1B-Instruct\n  - model: autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear\n  - model: meta-llama/Llama-3.2-1B\n  - model: unsloth/Llama-3.2-1B-Instruct-bnb-4bit\n  - model: MLking2/llama-3.2-1b-medical\n  - model: jayavibhav/llama3.2_1b_CoT\n  - model: huyhoangt2201/llama-3.2-1b-chat-sql3-merged\n  - model: student-abdullah/Llama3.2-1B_Hinglish-Medicine-Dataset_Finetuning_28-09\n\nparameters:\n  density: 0.5\n  weight: 1.0\n  int8_mask: true\n  normalize: true\n```\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "arxiv:2306.01708",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
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  "last_modified": "2025-02-18T18:50:40.000Z",
  "created_at": "2025-02-18T18:26:11.000Z",
  "pipeline_tag": "",
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