Model Intelligence Sheet
mradermacher/luminia-8b-rp-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/Nekochu/Luminia-8B-RP static quants are available at https://huggingface.co/mradermacher/Luminia-8B-RP-GGUF
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transformers
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Repository Files & Downloads
24 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Luminia-8B-RP.i1-IQ1_M.gguf | GGUF | IQ1_M | 2.01 GB | Download |
| Luminia-8B-RP.i1-IQ1_S.gguf | GGUF | IQ1_S | 1.88 GB | Download |
| Luminia-8B-RP.i1-IQ2_M.gguf | GGUF | IQ2_M | 2.75 GB | Download |
| Luminia-8B-RP.i1-IQ2_S.gguf | GGUF | IQ2_S | 2.57 GB | Download |
| Luminia-8B-RP.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 2.43 GB | Download |
| Luminia-8B-RP.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 2.23 GB | Download |
| Luminia-8B-RP.i1-IQ3_M.gguf | GGUF | IQ3_M | 3.52 GB | Download |
| Luminia-8B-RP.i1-IQ3_S.gguf | GGUF | IQ3_S | 3.43 GB | Download |
| Luminia-8B-RP.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 3.28 GB | Download |
| Luminia-8B-RP.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 3.05 GB | Download |
| Luminia-8B-RP.i1-IQ4_NL.gguf | GGUF | IQ4_NL | 4.36 GB | Download |
| Luminia-8B-RP.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 4.14 GB | Download |
| Luminia-8B-RP.i1-Q2_K.gguf | GGUF | Q2_K | 2.96 GB | Download |
| Luminia-8B-RP.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 2.78 GB | Download |
| Luminia-8B-RP.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 4.03 GB | Download |
| Luminia-8B-RP.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 3.74 GB | Download |
| Luminia-8B-RP.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 3.41 GB | Download |
| Luminia-8B-RP.i1-Q4_0.gguf | GGUF | — | 4.35 GB | Download |
| Luminia-8B-RP.i1-Q4_1.gguf | GGUF | — | 4.78 GB | Download |
| Luminia-8B-RP.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 4.58 GB | Download |
| Luminia-8B-RP.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 4.37 GB | Download |
| Luminia-8B-RP.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 5.34 GB | Download |
| Luminia-8B-RP.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 5.21 GB | Download |
| Luminia-8B-RP.i1-Q6_K.gguf | GGUF | Q6_K | 6.14 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "Nekochu/Luminia-8B-RP",
"datasets": [
"Nekochu/Luminia-mixture",
"UnfilteredAI/DAN",
"mpingale/mental-health-chat-dataset",
"Amod/mental_health_counseling_conversations",
"heliosbrahma/mental_health_chatbot_dataset",
"victunes/nart-100k-synthetic-buddy-mixed-names",
"Falah/Mental_health_dataset4Fine_Tuning",
"EmoCareAI/Psych8k",
"samhog/psychology-10k",
"Doctor-Shotgun/no-robots-sharegpt",
"Gryphe/Opus-WritingPrompts",
"NobodyExistsOnTheInternet/ToxicQAFinal",
"meseca/opus-instruct-9k",
"PJMixers/grimulkan_theory-of-mind-ShareGPT",
"CapybaraPure/Decontaminated-ShareGPT",
"MinervaAI/Aesir-Preview",
"Epiculous/Gnosis",
"Norquinal/claude_multiround_chat_30k",
"Locutusque/hercules-v5.0",
"G-reen/Duet-v0.5",
"cgato/SlimOrcaDedupCleaned",
"Gryphe/Sonnet3.5-SlimOrcaDedupCleaned",
"ChaoticNeutrals/Synthetic-Dark-RP",
"ChaoticNeutrals/Synthetic-RP",
"ChaoticNeutrals/Luminous_Opus",
"kalomaze/Opus_Instruct_25k"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "mradermacher",
"tags": [
"llama-factory",
"lora",
"not-for-all-audiences",
"nsfw"
],
"frontmatter": {
"base_model": "Nekochu/Luminia-8B-RP",
"datasets": [
"Nekochu/Luminia-mixture",
"UnfilteredAI/DAN",
"mpingale/mental-health-chat-dataset",
"Amod/mental_health_counseling_conversations",
"heliosbrahma/mental_health_chatbot_dataset",
"victunes/nart-100k-synthetic-buddy-mixed-names",
"Falah/Mental_health_dataset4Fine_Tuning",
"EmoCareAI/Psych8k",
"samhog/psychology-10k",
"Doctor-Shotgun/no-robots-sharegpt",
"Gryphe/Opus-WritingPrompts",
"NobodyExistsOnTheInternet/ToxicQAFinal",
"meseca/opus-instruct-9k",
"PJMixers/grimulkan_theory-of-mind-ShareGPT",
"CapybaraPure/Decontaminated-ShareGPT",
"MinervaAI/Aesir-Preview",
"Epiculous/Gnosis",
"Norquinal/claude_multiround_chat_30k",
"Locutusque/hercules-v5.0",
"G-reen/Duet-v0.5",
"cgato/SlimOrcaDedupCleaned",
"Gryphe/Sonnet3.5-SlimOrcaDedupCleaned",
"ChaoticNeutrals/Synthetic-Dark-RP",
"ChaoticNeutrals/Synthetic-RP",
"ChaoticNeutrals/Luminous_Opus",
"kalomaze/Opus_Instruct_25k"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "mradermacher",
"tags": [
"llama-factory",
"lora",
"not-for-all-audiences",
"nsfw"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/Nekochu/Luminia-8B-RP static quants are available at https://huggingface.co/mradermacher/Luminia-8B-RP-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: Nekochu/Luminia-8B-RP\ndatasets:\n- Nekochu/Luminia-mixture\n- UnfilteredAI/DAN\n- mpingale/mental-health-chat-dataset\n- Amod/mental_health_counseling_conversations\n- heliosbrahma/mental_health_chatbot_dataset\n- victunes/nart-100k-synthetic-buddy-mixed-names\n- Falah/Mental_health_dataset4Fine_Tuning\n- EmoCareAI/Psych8k\n- samhog/psychology-10k\n- Doctor-Shotgun/no-robots-sharegpt\n- Gryphe/Opus-WritingPrompts\n- NobodyExistsOnTheInternet/ToxicQAFinal\n- meseca/opus-instruct-9k\n- PJMixers/grimulkan_theory-of-mind-ShareGPT\n- CapybaraPure/Decontaminated-ShareGPT\n- MinervaAI/Aesir-Preview\n- Epiculous/Gnosis\n- Norquinal/claude_multiround_chat_30k\n- Locutusque/hercules-v5.0\n- G-reen/Duet-v0.5\n- cgato/SlimOrcaDedupCleaned\n- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned\n- ChaoticNeutrals/Synthetic-Dark-RP\n- ChaoticNeutrals/Synthetic-RP\n- ChaoticNeutrals/Luminous_Opus\n- kalomaze/Opus_Instruct_25k\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- llama-factory\n- lora\n- not-for-all-audiences\n- nsfw\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/Nekochu/Luminia-8B-RP\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/Luminia-8B-RP-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/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-IQ1_S.gguf) | i1-IQ1_S | 2.1 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-IQ1_M.gguf) | i1-IQ1_M | 2.3 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-IQ2_S.gguf) | i1-IQ2_S | 2.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-IQ2_M.gguf) | i1-IQ2_M | 3.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-Q2_K_S.gguf) | i1-Q2_K_S | 3.1 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-Q2_K.gguf) | i1-Q2_K | 3.3 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.8 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-IQ3_S.gguf) | i1-IQ3_S | 3.8 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-IQ3_M.gguf) | i1-IQ3_M | 3.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.1 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.4 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-Q4_0.gguf) | i1-Q4_0 | 4.8 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.8 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.8 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-Q4_1.gguf) | i1-Q4_1 | 5.2 | |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Luminia-8B-RP-i1-GGUF/resolve/main/Luminia-8B-RP.i1-Q6_K.gguf) | i1-Q6_K | 6.7 | practically like static Q6_K |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n\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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"llama-factory",
"lora",
"not-for-all-audiences",
"nsfw",
"en",
"dataset:Nekochu/Luminia-mixture",
"dataset:UnfilteredAI/DAN",
"dataset:mpingale/mental-health-chat-dataset",
"dataset:Amod/mental_health_counseling_conversations",
"dataset:heliosbrahma/mental_health_chatbot_dataset",
"dataset:victunes/nart-100k-synthetic-buddy-mixed-names",
"dataset:Falah/Mental_health_dataset4Fine_Tuning",
"dataset:EmoCareAI/Psych8k",
"dataset:samhog/psychology-10k",
"dataset:Doctor-Shotgun/no-robots-sharegpt",
"dataset:Gryphe/Opus-WritingPrompts",
"dataset:NobodyExistsOnTheInternet/ToxicQAFinal",
"dataset:meseca/opus-instruct-9k",
"dataset:PJMixers/grimulkan_theory-of-mind-ShareGPT",
"dataset:CapybaraPure/Decontaminated-ShareGPT",
"dataset:MinervaAI/Aesir-Preview",
"dataset:Epiculous/Gnosis",
"dataset:Norquinal/claude_multiround_chat_30k",
"dataset:Locutusque/hercules-v5.0",
"dataset:G-reen/Duet-v0.5",
"dataset:cgato/SlimOrcaDedupCleaned",
"dataset:Gryphe/Sonnet3.5-SlimOrcaDedupCleaned",
"dataset:ChaoticNeutrals/Synthetic-Dark-RP",
"dataset:ChaoticNeutrals/Synthetic-RP",
"dataset:ChaoticNeutrals/Luminous_Opus",
"dataset:kalomaze/Opus_Instruct_25k",
"base_model:Nekochu/Luminia-8B-RP",
"base_model:adapter:Nekochu/Luminia-8B-RP",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 2,
"downloads": 94,
"gated": false,
"private": false,
"last_modified": "2024-12-30T09:37:24.000Z",
"created_at": "2024-12-30T08:58:08.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "677260a0891c02fc8282844a",
"id": "mradermacher/Luminia-8B-RP-i1-GGUF",
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"sha": "b03cbaf0c32ea736c1113302c4a02e5652683389",
"createdAt": "2024-12-30T08:58:08.000Z",
"lastModified": "2024-12-30T09:37:24.000Z",
"author": "mradermacher",
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