richarderkhov/v000000_-_swallowmaid-8b-l3-sppo-abliterated-gguf overview

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    "summary": "* GGUFs * GGUFs imatrix # Quants * GGUF Q8_0 # merge This is a merge of pre-trained language models created using mergekit. # Merge Details # Merge Method This model was merged using a multi-step merge method. # Models Merged The following models were included in the merge: * grimjim/Llama-3-Instruct-abliteration-LoRA-8B * UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3 * NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS * maldv/llama-3-fantasy-writer-8b * tokyotech-llm/Llama-3-Swallow-8B-v0.1 * Nitral-AI/Hathor_Respawn-L3-8B-v0.8 # Configuration The following YAML configuration was used to produce this model: ``yaml # Part 3, Apply abliteration (SwallowMaid-8B) models: parameters: weight: 1.0 merge_method: linear dtype: float32 # Part 2, infuse 35% swallow+rpmix to SPPO-Iter3 (sppo-rpmix-part2) models: parameters: weight: 1.0 parameters: weight: 0.35 merge_method: task_arithmetic base_model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3 parameters: normalize: false dtype: float32 # Part 1, linear merge rpmix (rpmix-part1) models: parameters: weight: 0.6 parameters: weight: 0.1 parameters: weight: 0.4 parameters: weight: 0.15 merge_method: linear dtype: float32 ` # Prompt Template: `bash system {system_prompt}user {input}assistant {output} ``",
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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\nSwallowMaid-8B-L3-SPPO-abliterated - GGUF\n- Model creator: https://huggingface.co/v000000/\n- Original model: https://huggingface.co/v000000/SwallowMaid-8B-L3-SPPO-abliterated/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q2_K.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q2_K.gguf) | Q2_K | 2.96GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.IQ3_XS.gguf) | IQ3_XS | 3.28GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.IQ3_S.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.IQ3_S.gguf) | IQ3_S | 3.43GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q3_K_S.gguf) | Q3_K_S | 3.41GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.IQ3_M.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.IQ3_M.gguf) | IQ3_M | 3.52GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q3_K.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q3_K.gguf) | Q3_K | 3.74GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q3_K_M.gguf) | Q3_K_M | 3.74GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q3_K_L.gguf) | Q3_K_L | 4.03GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.IQ4_XS.gguf) | IQ4_XS | 4.18GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q4_0.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q4_0.gguf) | Q4_0 | 4.34GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.IQ4_NL.gguf) | IQ4_NL | 4.38GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q4_K_S.gguf) | Q4_K_S | 4.37GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q4_K.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q4_K.gguf) | Q4_K | 4.58GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q4_K_M.gguf) | Q4_K_M | 4.58GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q4_1.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q4_1.gguf) | Q4_1 | 4.78GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q5_0.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q5_0.gguf) | Q5_0 | 5.21GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q5_K_S.gguf) | Q5_K_S | 5.21GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q5_K.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q5_K.gguf) | Q5_K | 5.34GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q5_K_M.gguf) | Q5_K_M | 5.34GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q5_1.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q5_1.gguf) | Q5_1 | 5.65GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q6_K.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q6_K.gguf) | Q6_K | 6.14GB |\n| [SwallowMaid-8B-L3-SPPO-abliterated.Q8_0.gguf](https://huggingface.co/RichardErkhov/v000000_-_SwallowMaid-8B-L3-SPPO-abliterated-gguf/blob/main/SwallowMaid-8B-L3-SPPO-abliterated.Q8_0.gguf) | Q8_0 | 7.95GB |\n\n\n\n\nOriginal model description:\n---\nbase_model:\n- x0000001/mergekit-task_arithmetic-vlehhex\n- grimjim/Llama-3-Instruct-abliteration-LoRA-8B\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\n- english\n- japanese\n- llama\n---\n<!DOCTYPE html>\n<style>\n\nh1 {\n  color: #900C3F; /* Red color */\n  font-size: 1.25em; /* Larger font size */\n  text-align: left; /* Center alignment */\n  text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.5); /* Shadow effect */\n  background: linear-gradient(90deg, #900C3F, #fba8a8); /* Gradient background */\n  -webkit-background-clip: text; /* Clipping the background to text */\n  -webkit-text-fill-color: transparent; /* Making the text transparent */\n}\n\n</style>\n<html lang=\"en\">\n<head>\n</head>\n<body>\nGeneral Instruct, RP, Q&A and Storywriting.\n\n-------------------------------------------\n<h1>SwallowMaid-8B-Llama-3-SPPO-abliterated</h1>\n\n![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f74b6e6389380c77562762/j0i4gIFnxGOdgyINopKUW.png)\n\n\"Llama-3-Instruct-8B-SPPO-Iter3\" fully uncensored with 35% RP-Mix infused vector direction to gain some roleplay capabilities and prose while attempting to preserve the qualities of Meta's Llama-3-Instruct finetune.\n\n# <a>Thank you mradermacher for the quants!</a>\n* [GGUFs](https://huggingface.co/mradermacher/SwallowMaid-8B-L3-SPPO-abliterated-GGUF)\n* [GGUFs imatrix](https://huggingface.co/mradermacher/SwallowMaid-8B-L3-SPPO-abliterated-i1-GGUF)\n\n# <a>Quants</a>\n* [GGUF Q8_0](https://huggingface.co/v000000/SwallowMaid-8B-L3-SPPO-abliterated-Q8_0-GGUF)\n\n# <h1>merge</h1>\n\nThis is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).\n\n# <h1>Merge Details</h1>\n# <h1>Merge Method</h1>\n\nThis model was merged using a multi-step merge method.\n\n# <h1>Models Merged</h1>\n\nThe following models were included in the merge:\n* [grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-LoRA-8B)\n* [UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3)\n* [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS)\n* [maldv/llama-3-fantasy-writer-8b](https://huggingface.co/maldv/llama-3-fantasy-writer-8b)\n* [tokyotech-llm/Llama-3-Swallow-8B-v0.1](https://huggingface.co/tokyotech-llm/Llama-3-Swallow-8B-v0.1)\n* [Nitral-AI/Hathor_Respawn-L3-8B-v0.8](https://huggingface.co/Nitral-AI/Hathor_Respawn-L3-8B-v0.8)\n\n# <h1>Configuration</h1>\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\n# Part 3, Apply abliteration (SwallowMaid-8B)\nmodels:\n  - model: sppo-rpmix-part2+grimjim/Llama-3-Instruct-abliteration-LoRA-8B\n    parameters:\n      weight: 1.0\nmerge_method: linear\ndtype: float32\n\n# Part 2, infuse 35% swallow+rpmix to SPPO-Iter3 (sppo-rpmix-part2)\nmodels:\n  - model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3\n    parameters:\n      weight: 1.0\n  - model: rpmix-part1\n    parameters:\n      weight: 0.35\nmerge_method: task_arithmetic\nbase_model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3\nparameters:\n    normalize: false\ndtype: float32\n\n# Part 1, linear merge rpmix (rpmix-part1)\nmodels:\n  - model: Nitral-AI/Hathor_Respawn-L3-8B-v0.8\n    parameters:\n      weight: 0.6\n  - model: maldv/llama-3-fantasy-writer-8b\n    parameters:\n      weight: 0.1\n  - model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS\n    parameters:\n      weight: 0.4\n  - model: tokyotech-llm/Llama-3-Swallow-8B-v0.1\n    parameters:\n      weight: 0.15\nmerge_method: linear\ndtype: float32\n```\n\n# <h1>Prompt Template:</h1>\n```bash\n<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n{output}<|eot_id|>\n\n```\n\n\n</body>\n</html>\n\n",
    "related_quantizations": []
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  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
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