Model Intelligence Sheet
mradermacher/trixster-moe-14b-a8b-v1-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/OccultAI/Trixster-MoE-14B-A8B-v1 For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-GGUF
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transformers
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Repository Files & Downloads
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Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Trixster-MoE-14B-A8B-v1.i1-IQ1_M.gguf | GGUF | IQ1_M | 3.19 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-IQ1_S.gguf | GGUF | IQ1_S | 2.94 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-IQ2_M.gguf | GGUF | IQ2_M | 4.45 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-IQ2_S.gguf | GGUF | IQ2_S | 4.12 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 3.95 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 3.60 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-IQ3_M.gguf | GGUF | IQ3_M | 5.81 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-IQ3_S.gguf | GGUF | IQ3_S | 5.69 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 5.41 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 5.06 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-IQ4_NL.gguf | GGUF | IQ4_NL | 7.31 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 6.93 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-Q2_K.gguf | GGUF | Q2_K | 4.86 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 4.56 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 6.73 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 6.25 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 5.67 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-Q4_0.gguf | GGUF | — | 7.32 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-Q4_1.gguf | GGUF | — | 8.06 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 7.76 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 7.35 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 9.07 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 8.83 GB | Download |
| Trixster-MoE-14B-A8B-v1.i1-Q6_K.gguf | GGUF | Q6_K | 10.45 GB | Download |
| Trixster-MoE-14B-A8B-v1.imatrix.gguf | GGUF | — | 8.04 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "OccultAI/Trixster-MoE-14B-A8B-v1",
"datasets": [
"cgato/SlimOrcaDedupCleaned",
"Doctor-Shotgun/no-robots-sharegpt",
"grimulkan/LimaRP-augmented",
"lemonilia/LimaRP",
"Locutusque/hercules-v5.0",
"mlabonne/orpo-dpo-mix-40k",
"mpasila/LimaRP-augmented-8k-context",
"NobodyExistsOnTheInternet/PIPPAsharegptv2test",
"NobodyExistsOnTheInternet/ToxicQAFinal",
"OccultAI/Morpheus_665",
"Gryphe/Opus-WritingPrompts",
"ResplendentAI/NSFW_RP_Format_DPO",
"Sao10K/c2-Logs-Filtered",
"Sao10K/Claude-3-Opus-Instruct-15K",
"Sao10K/Short-Storygen-v2",
"Setiaku/Stheno-v3.4-Instruct",
"Setiaku/Stheno-3.4-Creative-2",
"SicariusSicariiStuff/UBW_Tapestries",
"Squish42/bluemoon-fandom-1-1-rp-cleaned",
"teknium/OpenHermes-2.5",
"Undi95/Capybara-ShareGPT",
"Undi95/toxic-dpo-v0.1-sharegpt"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"merge",
"llama",
"occult",
"uncensored",
"moe_karcher"
],
"frontmatter": {
"base_model": "OccultAI/Trixster-MoE-14B-A8B-v1",
"datasets": [
"cgato/SlimOrcaDedupCleaned",
"Doctor-Shotgun/no-robots-sharegpt",
"grimulkan/LimaRP-augmented",
"lemonilia/LimaRP",
"Locutusque/hercules-v5.0",
"mlabonne/orpo-dpo-mix-40k",
"mpasila/LimaRP-augmented-8k-context",
"NobodyExistsOnTheInternet/PIPPAsharegptv2test",
"NobodyExistsOnTheInternet/ToxicQAFinal",
"OccultAI/Morpheus_665",
"Gryphe/Opus-WritingPrompts",
"ResplendentAI/NSFW_RP_Format_DPO",
"Sao10K/c2-Logs-Filtered",
"Sao10K/Claude-3-Opus-Instruct-15K",
"Sao10K/Short-Storygen-v2",
"Setiaku/Stheno-v3.4-Instruct",
"Setiaku/Stheno-3.4-Creative-2",
"SicariusSicariiStuff/UBW_Tapestries",
"Squish42/bluemoon-fandom-1-1-rp-cleaned",
"teknium/OpenHermes-2.5",
"Undi95/Capybara-ShareGPT",
"Undi95/toxic-dpo-v0.1-sharegpt"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
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"tags": [
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},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/OccultAI/Trixster-MoE-14B-A8B-v1 ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: OccultAI/Trixster-MoE-14B-A8B-v1\ndatasets:\n- cgato/SlimOrcaDedupCleaned\n- Doctor-Shotgun/no-robots-sharegpt\n- grimulkan/LimaRP-augmented\n- lemonilia/LimaRP\n- Locutusque/hercules-v5.0\n- mlabonne/orpo-dpo-mix-40k\n- mpasila/LimaRP-augmented-8k-context\n- NobodyExistsOnTheInternet/PIPPAsharegptv2test\n- NobodyExistsOnTheInternet/ToxicQAFinal\n- OccultAI/Morpheus_665\n- Gryphe/Opus-WritingPrompts\n- ResplendentAI/NSFW_RP_Format_DPO\n- Sao10K/c2-Logs-Filtered\n- Sao10K/Claude-3-Opus-Instruct-15K\n- Sao10K/Short-Storygen-v2\n- Setiaku/Stheno-v3.4-Instruct\n- Setiaku/Stheno-3.4-Creative-2\n- SicariusSicariiStuff/UBW_Tapestries\n- Squish42/bluemoon-fandom-1-1-rp-cleaned\n- teknium/OpenHermes-2.5\n- Undi95/Capybara-ShareGPT\n- Undi95/toxic-dpo-v0.1-sharegpt\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- merge\n- llama\n- occult\n- uncensored\n- moe_karcher\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: nicoboss -->\n<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->\n<!-- ### quants_skip: -->\n<!-- ### skip_mmproj: -->\nweighted/imatrix quants of https://huggingface.co/OccultAI/Trixster-MoE-14B-A8B-v1\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#Trixster-MoE-14B-A8B-v1-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-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/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-IQ1_S.gguf) | i1-IQ1_S | 3.3 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-IQ1_M.gguf) | i1-IQ1_M | 3.5 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 4.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-IQ2_S.gguf) | i1-IQ2_S | 4.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-IQ2_M.gguf) | i1-IQ2_M | 4.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-Q2_K_S.gguf) | i1-Q2_K_S | 5.0 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-Q2_K.gguf) | i1-Q2_K | 5.3 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 6.2 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-IQ3_S.gguf) | i1-IQ3_S | 6.2 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-IQ3_M.gguf) | i1-IQ3_M | 6.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.8 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-Q3_K_L.gguf) | i1-Q3_K_L | 7.3 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-IQ4_XS.gguf) | i1-IQ4_XS | 7.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-IQ4_NL.gguf) | i1-IQ4_NL | 8.0 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-Q4_0.gguf) | i1-Q4_0 | 8.0 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 8.0 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 8.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-Q4_1.gguf) | i1-Q4_1 | 8.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-Q5_K_S.gguf) | i1-Q5_K_S | 9.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-Q5_K_M.gguf) | i1-Q5_K_M | 9.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Trixster-MoE-14B-A8B-v1-i1-GGUF/resolve/main/Trixster-MoE-14B-A8B-v1.i1-Q6_K.gguf) | i1-Q6_K | 11.3 | 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",
"merge",
"llama",
"occult",
"uncensored",
"moe_karcher",
"en",
"dataset:cgato/SlimOrcaDedupCleaned",
"dataset:Doctor-Shotgun/no-robots-sharegpt",
"dataset:grimulkan/LimaRP-augmented",
"dataset:lemonilia/LimaRP",
"dataset:Locutusque/hercules-v5.0",
"dataset:mlabonne/orpo-dpo-mix-40k",
"dataset:mpasila/LimaRP-augmented-8k-context",
"dataset:NobodyExistsOnTheInternet/PIPPAsharegptv2test",
"dataset:NobodyExistsOnTheInternet/ToxicQAFinal",
"dataset:OccultAI/Morpheus_665",
"dataset:Gryphe/Opus-WritingPrompts",
"dataset:ResplendentAI/NSFW_RP_Format_DPO",
"dataset:Sao10K/c2-Logs-Filtered",
"dataset:Sao10K/Claude-3-Opus-Instruct-15K",
"dataset:Sao10K/Short-Storygen-v2",
"dataset:Setiaku/Stheno-v3.4-Instruct",
"dataset:Setiaku/Stheno-3.4-Creative-2",
"dataset:SicariusSicariiStuff/UBW_Tapestries",
"dataset:Squish42/bluemoon-fandom-1-1-rp-cleaned",
"dataset:teknium/OpenHermes-2.5",
"dataset:Undi95/Capybara-ShareGPT",
"dataset:Undi95/toxic-dpo-v0.1-sharegpt",
"base_model:OccultAI/Trixster-MoE-14B-A8B-v1",
"base_model:quantized:OccultAI/Trixster-MoE-14B-A8B-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 2,
"downloads": 215,
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"last_modified": "2026-02-22T09:00:13.000Z",
"created_at": "2026-02-22T07:13:04.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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