richarderkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf overview

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    "summary": "This is a model with altered parameters from a mergekit slice of SciPhi/SciPhi-Self-RAG-Mistral-7B-32k.",
    "quick_links": [],
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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\nsciphi-mini-600m-unsloth - GGUF\n- Model creator: https://huggingface.co/jtatman/\n- Original model: https://huggingface.co/jtatman/sciphi-mini-600m-unsloth/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [sciphi-mini-600m-unsloth.Q2_K.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q2_K.gguf) | Q2_K | 0.23GB |\n| [sciphi-mini-600m-unsloth.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q3_K_S.gguf) | Q3_K_S | 0.26GB |\n| [sciphi-mini-600m-unsloth.Q3_K.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q3_K.gguf) | Q3_K | 0.28GB |\n| [sciphi-mini-600m-unsloth.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q3_K_M.gguf) | Q3_K_M | 0.28GB |\n| [sciphi-mini-600m-unsloth.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q3_K_L.gguf) | Q3_K_L | 0.3GB |\n| [sciphi-mini-600m-unsloth.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.IQ4_XS.gguf) | IQ4_XS | 0.31GB |\n| [sciphi-mini-600m-unsloth.Q4_0.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q4_0.gguf) | Q4_0 | 0.32GB |\n| [sciphi-mini-600m-unsloth.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.IQ4_NL.gguf) | IQ4_NL | 0.32GB |\n| [sciphi-mini-600m-unsloth.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q4_K_S.gguf) | Q4_K_S | 0.33GB |\n| [sciphi-mini-600m-unsloth.Q4_K.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q4_K.gguf) | Q4_K | 0.34GB |\n| [sciphi-mini-600m-unsloth.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q4_K_M.gguf) | Q4_K_M | 0.34GB |\n| [sciphi-mini-600m-unsloth.Q4_1.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q4_1.gguf) | Q4_1 | 0.35GB |\n| [sciphi-mini-600m-unsloth.Q5_0.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q5_0.gguf) | Q5_0 | 0.38GB |\n| [sciphi-mini-600m-unsloth.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q5_K_S.gguf) | Q5_K_S | 0.38GB |\n| [sciphi-mini-600m-unsloth.Q5_K.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q5_K.gguf) | Q5_K | 0.39GB |\n| [sciphi-mini-600m-unsloth.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q5_K_M.gguf) | Q5_K_M | 0.39GB |\n| [sciphi-mini-600m-unsloth.Q5_1.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q5_1.gguf) | Q5_1 | 0.41GB |\n| [sciphi-mini-600m-unsloth.Q6_K.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q6_K.gguf) | Q6_K | 0.45GB |\n| [sciphi-mini-600m-unsloth.Q8_0.gguf](https://huggingface.co/RichardErkhov/jtatman_-_sciphi-mini-600m-unsloth-gguf/blob/main/sciphi-mini-600m-unsloth.Q8_0.gguf) | Q8_0 | 0.58GB |\n\n\n\n\nOriginal model description:\n---\nlicense: apache-2.0\nlibrary_name: transformers\ntags:\n- experimental\n- peft\n- rslora\n---\n\n\n# Model Card for Model ID\n\nThis is a model with altered parameters from a mergekit slice of [SciPhi/SciPhi-Self-RAG-Mistral-7B-32k](https://huggingface.co/SciPhi/SciPhi-Self-RAG-Mistral-7B-32k).\n\n## Model Details\n\n### Model Description\n\nThis model is an experimental model using minimal slices to gather core model properties that can be further trained. \n\nThe parameters have been reduced to just under 600 million. This is an experiment to see how far slicing can be taken while retaining original weight associations.\n\nThe model will be used for layer analysis and trained on a close approximation of the sciphi datasets using trainable parameters to see what original weights might be usable.\n\nThis process will be ongoing to see if rank stabilized tuning can save and enhance the original model information through recognizing original weight associations in the preserved layers, even after model resizing.\n\n### Process\n\nThese models are merged with LoRA versions at each training run to consolidate weights, and the merged model is used as a base model for the next training.\n\nThe LoRA model can be found here: [jtatman/sciphi-mini-600m-unsloth-lora-v2](https://huggingface.co/jtatman/sciphi-mini-600m-unsloth-lora-v2)\n\nThe model is trained using [unsloth](https://github.com/unslothai/unsloth). Unsloth can be integrated in both supervised fine-tuning and direct preference optimizations through huggingface, using the TRL library.\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
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  "last_modified": "2024-11-03T10:30:43.000Z",
  "created_at": "2024-11-03T10:26:09.000Z",
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