richarderkhov/josephgflowers_-_qllama-.5b-rag-1-gguf overview

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    "summary": "Quantization made by Richard Erkhov. Github Discord Request more models Qllama-.5B-RAG-1 - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | Qllama-.5B-RAG-1.Q2_K.gguf | Q2_K | 0.23GB | | Qllama-.5B-RAG-1.IQ3_XS.gguf | IQ3_XS | 0.24GB | | Qllama-.5B-RAG-1.IQ3_S.gguf | IQ3_S | 0.25GB | | Qllama-.5B-RAG-1.Q3_K_S.gguf | Q3_K_S | 0.25GB | | Qllama-.5B-RAG-1.IQ3_M.gguf | IQ3_M | 0.26GB | | Qllama-.5B-RAG-1.Q3_K.gguf | Q3_K | 0.26GB | | Qllama-.5B-RAG-1.Q3_K_M.gguf | Q3_K_M | 0.26GB | | Qllama-.5B-RAG-1.Q3_K_L.gguf | Q3_K_L | 0.28GB | | Qllama-.5B-RAG-1.IQ4_XS.gguf | IQ4_XS | 0.28GB | | Qllama-.5B-RAG-1.Q4_0.gguf | Q4_0 | 0.29GB | | Qllama-.5B-RAG-1.IQ4_NL.gguf | IQ4_NL | 0.29GB | | Qllama-.5B-RAG-1.Q4_K_S.gguf | Q4_K_S | 0.29GB | | Qllama-.5B-RAG-1.Q4_K.gguf | Q4_K | 0.3GB | | Qllama-.5B-RAG-1.Q4_K_M.gguf | Q4_K_M | 0.3GB | | Qllama-.5B-RAG-1.Q4_1.gguf | Q4_1 | 0.3GB | | Qllama-.5B-RAG-1.Q5_0.gguf | Q5_0 | 0.32GB | | Qllama-.5B-RAG-1.Q5_K_S.gguf | Q5_K_S | 0.32GB | | Qllama-.5B-RAG-1.Q5_K.gguf | Q5_K | 0.33GB | | Qllama-.5B-RAG-1.Q5_K_M.gguf | Q5_K_M | 0.33GB | | Qllama-.5B-RAG-1.Q5_1.gguf | Q5_1 | 0.34GB | | Qllama-.5B-RAG-1.Q6_K.gguf | Q6_K | 0.36GB | | Qllama-.5B-RAG-1.Q8_0.gguf | Q8_0 | 0.47GB | Original model description: --- license: mit --- This model needs further fine tuning. See: txtai-rag.py for rag implimentation with txt ai wikipedia. Llamafyd version of Qwen .5B further fine tuned 1 epoch on wiki, math, science, and chat datasets. Based on Cinder data. This model further fine tuned 1 epoch on rag data. Rough list of final datasets: formatted_beaugogh-openorca-multiplechoice-10k.txt formatted_BYC-Sophie-samsum-chatgpt-summary.txt formatted_conversation_bio.txt formatted_conversation_create_cinder_1.txt formatted_conversation_Electrical-engineering.txt formatted_conversation_multiturn_stem.txt formatted_conversation_physics.txt formatted_conversation_qa_rag_chem_prog_dataset.txt formatted_conversation_qa_robot_ai_dataset.txt formatted_conversation_qa_shopify_dataset1_rag.txt formatted_conversation_qa_shopify_dataset_rag.txt formatted_dyumat-databricks-dolly-5k-rag-split.txt formatted_Hypoxiic-wikipedia-summary-subset1k-summary_token.txt formatted_neural-bridge-rag-dataset-12000.txt formatted_rachid16-rag_finetuning_data.txt formatted_tiny_stories_1_summary_token_tag_token-xaa.txt formatted_tiny_stories_2_summary_token_assistant-xah.txt med_rag_small.txt z_formatted_cinder_test.txt",
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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\nQllama-.5B-RAG-1 - GGUF\n- Model creator: https://huggingface.co/Josephgflowers/\n- Original model: https://huggingface.co/Josephgflowers/Qllama-.5B-RAG-1/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Qllama-.5B-RAG-1.Q2_K.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q2_K.gguf) | Q2_K | 0.23GB |\n| [Qllama-.5B-RAG-1.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.IQ3_XS.gguf) | IQ3_XS | 0.24GB |\n| [Qllama-.5B-RAG-1.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.IQ3_S.gguf) | IQ3_S | 0.25GB |\n| [Qllama-.5B-RAG-1.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q3_K_S.gguf) | Q3_K_S | 0.25GB |\n| [Qllama-.5B-RAG-1.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.IQ3_M.gguf) | IQ3_M | 0.26GB |\n| [Qllama-.5B-RAG-1.Q3_K.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q3_K.gguf) | Q3_K | 0.26GB |\n| [Qllama-.5B-RAG-1.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q3_K_M.gguf) | Q3_K_M | 0.26GB |\n| [Qllama-.5B-RAG-1.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q3_K_L.gguf) | Q3_K_L | 0.28GB |\n| [Qllama-.5B-RAG-1.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.IQ4_XS.gguf) | IQ4_XS | 0.28GB |\n| [Qllama-.5B-RAG-1.Q4_0.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q4_0.gguf) | Q4_0 | 0.29GB |\n| [Qllama-.5B-RAG-1.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.IQ4_NL.gguf) | IQ4_NL | 0.29GB |\n| [Qllama-.5B-RAG-1.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q4_K_S.gguf) | Q4_K_S | 0.29GB |\n| [Qllama-.5B-RAG-1.Q4_K.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q4_K.gguf) | Q4_K | 0.3GB |\n| [Qllama-.5B-RAG-1.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q4_K_M.gguf) | Q4_K_M | 0.3GB |\n| [Qllama-.5B-RAG-1.Q4_1.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q4_1.gguf) | Q4_1 | 0.3GB |\n| [Qllama-.5B-RAG-1.Q5_0.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q5_0.gguf) | Q5_0 | 0.32GB |\n| [Qllama-.5B-RAG-1.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q5_K_S.gguf) | Q5_K_S | 0.32GB |\n| [Qllama-.5B-RAG-1.Q5_K.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q5_K.gguf) | Q5_K | 0.33GB |\n| [Qllama-.5B-RAG-1.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q5_K_M.gguf) | Q5_K_M | 0.33GB |\n| [Qllama-.5B-RAG-1.Q5_1.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q5_1.gguf) | Q5_1 | 0.34GB |\n| [Qllama-.5B-RAG-1.Q6_K.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q6_K.gguf) | Q6_K | 0.36GB |\n| [Qllama-.5B-RAG-1.Q8_0.gguf](https://huggingface.co/RichardErkhov/Josephgflowers_-_Qllama-.5B-RAG-1-gguf/blob/main/Qllama-.5B-RAG-1.Q8_0.gguf) | Q8_0 | 0.47GB |\n\n\n\n\nOriginal model description:\n---\nlicense: mit\n---\nThis model needs further fine tuning.\n\nSee:\ntxtai-rag.py for rag implimentation with txt ai wikipedia. \n\nLlamafyd version of Qwen .5B further fine tuned 1 epoch on wiki, math, science, and chat datasets. Based on Cinder data. This model further fine tuned 1 epoch on rag data.\n\nRough list of final datasets:\nformatted_beaugogh-openorca-multiplechoice-10k.txt\nformatted_BYC-Sophie-samsum-chatgpt-summary.txt\nformatted_conversation_bio.txt\nformatted_conversation_create_cinder_1.txt\nformatted_conversation_Electrical-engineering.txt\nformatted_conversation_multiturn_stem.txt\nformatted_conversation_physics.txt\nformatted_conversation_qa_rag_chem_prog_dataset.txt\nformatted_conversation_qa_robot_ai_dataset.txt\nformatted_conversation_qa_shopify_dataset1_rag.txt\nformatted_conversation_qa_shopify_dataset_rag.txt\nformatted_dyumat-databricks-dolly-5k-rag-split.txt\nformatted_Hypoxiic-wikipedia-summary-subset1k-summary_token.txt\nformatted_neural-bridge-rag-dataset-12000.txt\nformatted_rachid16-rag_finetuning_data.txt\nformatted_tiny_stories_1_summary_token_tag_token-xaa.txt\nformatted_tiny_stories_2_summary_token_assistant-xah.txt\nmed_rag_small.txt\nz_formatted_cinder_test.txt\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
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  "last_modified": "2024-06-27T12:42:34.000Z",
  "created_at": "2024-06-27T12:37:18.000Z",
  "pipeline_tag": "",
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