mradermacher/blast_processing-3.2-1b-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "Novaciano/BLAST_PROCESSING-3.2-1B",
    "datasets": [
      "anthracite-org/kalo-opus-instruct-22k-no-refusal",
      "anthracite-org/stheno-filtered-v1.1",
      "anthracite-org/nopm_claude_writing_fixed",
      "AiAF/SCPWiki-Archive-02-March-2025-Datasets",
      "passing2961/multifaceted-skill-of-mind",
      "huihui-ai/QWQ-LONGCOT-500K",
      "huihui-ai/LONGCOT-Refine-500K",
      "Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned",
      "Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned",
      "alexandreteles/AlpacaToxicQA_ShareGPT",
      "Nitral-AI/Active_RP-ShareGPT",
      "PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT",
      "Nitral-AI/RP_Alignment-ShareGPT",
      "Chaser-cz/sonnet35-charcard-roleplay-sharegpt",
      "AiCloser/sharegpt_cot_dataset",
      "PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT",
      "priveeai/pippa_sharegpt",
      "Locutusque/sharegpt_gpt4_uncensored_cleaned",
      "OpenCoder-LLM/opc-sft-stage1",
      "OpenCoder-LLM/opc-sft-stage2",
      "microsoft/orca-agentinstruct-1M-v1",
      "microsoft/orca-math-word-problems-200k",
      "NousResearch/hermes-function-calling-v1",
      "AI-MO/NuminaMath-CoT",
      "AI-MO/NuminaMath-TIR",
      "allenai/tulu-3-sft-mixture",
      "cognitivecomputations/dolphin-coder",
      "HuggingFaceTB/smoltalk",
      "cognitivecomputations/samantha-data",
      "m-a-p/CodeFeedback-Filtered-Instruction",
      "m-a-p/Code-Feedback",
      "mlabonne/FineTome-100k",
      "PawanKrd/math-gpt-4o-200k",
      "V3N0M/Jenna-50K-Alpaca-Uncensored",
      "FreedomIntelligence/medical-o1-reasoning-SFT"
    ],
    "language": [
      "es",
      "en"
    ],
    "library_name": "transformers",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "transformers",
      "mergekit",
      "merge",
      "1b",
      "rp",
      "nsfw",
      "roleplay",
      "español",
      "uncensored",
      "llama",
      "llama3.2",
      "not-for-all-audiences"
    ],
    "frontmatter": {
      "base_model": "Novaciano/BLAST_PROCESSING-3.2-1B",
      "datasets": [
        "anthracite-org/kalo-opus-instruct-22k-no-refusal",
        "anthracite-org/stheno-filtered-v1.1",
        "anthracite-org/nopm_claude_writing_fixed",
        "AiAF/SCPWiki-Archive-02-March-2025-Datasets",
        "passing2961/multifaceted-skill-of-mind",
        "huihui-ai/QWQ-LONGCOT-500K",
        "huihui-ai/LONGCOT-Refine-500K",
        "Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned",
        "Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned",
        "alexandreteles/AlpacaToxicQA_ShareGPT",
        "Nitral-AI/Active_RP-ShareGPT",
        "PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT",
        "Nitral-AI/RP_Alignment-ShareGPT",
        "Chaser-cz/sonnet35-charcard-roleplay-sharegpt",
        "AiCloser/sharegpt_cot_dataset",
        "PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT",
        "priveeai/pippa_sharegpt",
        "Locutusque/sharegpt_gpt4_uncensored_cleaned",
        "OpenCoder-LLM/opc-sft-stage1",
        "OpenCoder-LLM/opc-sft-stage2",
        "microsoft/orca-agentinstruct-1M-v1",
        "microsoft/orca-math-word-problems-200k",
        "NousResearch/hermes-function-calling-v1",
        "AI-MO/NuminaMath-CoT",
        "AI-MO/NuminaMath-TIR",
        "allenai/tulu-3-sft-mixture",
        "cognitivecomputations/dolphin-coder",
        "HuggingFaceTB/smoltalk",
        "cognitivecomputations/samantha-data",
        "m-a-p/CodeFeedback-Filtered-Instruction",
        "m-a-p/Code-Feedback",
        "mlabonne/FineTome-100k",
        "PawanKrd/math-gpt-4o-200k",
        "V3N0M/Jenna-50K-Alpaca-Uncensored",
        "FreedomIntelligence/medical-o1-reasoning-SFT"
      ],
      "language": [
        "es",
        "en"
      ],
      "library_name": "transformers",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "transformers",
        "mergekit",
        "merge",
        "1b",
        "rp",
        "nsfw",
        "roleplay",
        "español",
        "uncensored",
        "llama",
        "llama3.2",
        "not-for-all-audiences"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/Novaciano/BLAST_PROCESSING-3.2-1B  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Novaciano/BLAST_PROCESSING-3.2-1B\ndatasets:\n- anthracite-org/kalo-opus-instruct-22k-no-refusal\n- anthracite-org/stheno-filtered-v1.1\n- anthracite-org/nopm_claude_writing_fixed\n- AiAF/SCPWiki-Archive-02-March-2025-Datasets\n- passing2961/multifaceted-skill-of-mind\n- huihui-ai/QWQ-LONGCOT-500K\n- huihui-ai/LONGCOT-Refine-500K\n- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned\n- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned\n- alexandreteles/AlpacaToxicQA_ShareGPT\n- Nitral-AI/Active_RP-ShareGPT\n- PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT\n- Nitral-AI/RP_Alignment-ShareGPT\n- Chaser-cz/sonnet35-charcard-roleplay-sharegpt\n- AiCloser/sharegpt_cot_dataset\n- PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT\n- priveeai/pippa_sharegpt\n- Locutusque/sharegpt_gpt4_uncensored_cleaned\n- OpenCoder-LLM/opc-sft-stage1\n- OpenCoder-LLM/opc-sft-stage2\n- microsoft/orca-agentinstruct-1M-v1\n- microsoft/orca-math-word-problems-200k\n- NousResearch/hermes-function-calling-v1\n- AI-MO/NuminaMath-CoT\n- AI-MO/NuminaMath-TIR\n- allenai/tulu-3-sft-mixture\n- cognitivecomputations/dolphin-coder\n- HuggingFaceTB/smoltalk\n- cognitivecomputations/samantha-data\n- m-a-p/CodeFeedback-Filtered-Instruction\n- m-a-p/Code-Feedback\n- mlabonne/FineTome-100k\n- PawanKrd/math-gpt-4o-200k\n- V3N0M/Jenna-50K-Alpaca-Uncensored\n- FreedomIntelligence/medical-o1-reasoning-SFT\nlanguage:\n- es\n- en\nlibrary_name: transformers\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- transformers\n- mergekit\n- merge\n- 1b\n- rp\n- nsfw\n- roleplay\n- español\n- uncensored\n- llama\n- llama3.2\n- not-for-all-audiences\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\nstatic quants of https://huggingface.co/Novaciano/BLAST_PROCESSING-3.2-1B\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#BLAST_PROCESSING-3.2-1B-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-i1-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q2_K.gguf) | Q2_K | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q3_K_S.gguf) | Q3_K_S | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q3_K_L.gguf) | Q3_K_L | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.IQ4_XS.gguf) | IQ4_XS | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q5_K_S.gguf) | Q5_K_S | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q5_K_M.gguf) | Q5_K_M | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q6_K.gguf) | Q6_K | 1.3 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.f16.gguf) | f16 | 3.1 | 16 bpw, overkill |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "mergekit",
    "merge",
    "1b",
    "rp",
    "nsfw",
    "roleplay",
    "español",
    "uncensored",
    "llama",
    "llama3.2",
    "not-for-all-audiences",
    "es",
    "en",
    "dataset:anthracite-org/kalo-opus-instruct-22k-no-refusal",
    "dataset:anthracite-org/stheno-filtered-v1.1",
    "dataset:anthracite-org/nopm_claude_writing_fixed",
    "dataset:AiAF/SCPWiki-Archive-02-March-2025-Datasets",
    "dataset:passing2961/multifaceted-skill-of-mind",
    "dataset:huihui-ai/QWQ-LONGCOT-500K",
    "dataset:huihui-ai/LONGCOT-Refine-500K",
    "dataset:Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned",
    "dataset:Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned",
    "dataset:alexandreteles/AlpacaToxicQA_ShareGPT",
    "dataset:Nitral-AI/Active_RP-ShareGPT",
    "dataset:PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT",
    "dataset:Nitral-AI/RP_Alignment-ShareGPT",
    "dataset:Chaser-cz/sonnet35-charcard-roleplay-sharegpt",
    "dataset:AiCloser/sharegpt_cot_dataset",
    "dataset:PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT",
    "dataset:priveeai/pippa_sharegpt",
    "dataset:Locutusque/sharegpt_gpt4_uncensored_cleaned",
    "dataset:OpenCoder-LLM/opc-sft-stage1",
    "dataset:OpenCoder-LLM/opc-sft-stage2",
    "dataset:microsoft/orca-agentinstruct-1M-v1",
    "dataset:microsoft/orca-math-word-problems-200k",
    "dataset:NousResearch/hermes-function-calling-v1",
    "dataset:AI-MO/NuminaMath-CoT",
    "dataset:AI-MO/NuminaMath-TIR",
    "dataset:allenai/tulu-3-sft-mixture",
    "dataset:cognitivecomputations/dolphin-coder",
    "dataset:HuggingFaceTB/smoltalk",
    "dataset:cognitivecomputations/samantha-data",
    "dataset:m-a-p/CodeFeedback-Filtered-Instruction",
    "dataset:m-a-p/Code-Feedback",
    "dataset:mlabonne/FineTome-100k",
    "dataset:PawanKrd/math-gpt-4o-200k",
    "dataset:V3N0M/Jenna-50K-Alpaca-Uncensored",
    "dataset:FreedomIntelligence/medical-o1-reasoning-SFT",
    "base_model:Novaciano/BLAST_PROCESSING-3.2-1B",
    "base_model:quantized:Novaciano/BLAST_PROCESSING-3.2-1B",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 135,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-31T09:41:49.000Z",
  "created_at": "2025-03-06T23:20:50.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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