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Instructions to use oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

Transformers

How to use oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT")
model = AutoModelForMultimodalLM.from_pretrained("oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT

SGLang

How to use oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT with Docker Model Runner:
```
docker model run hf.co/oktayd/Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT
```

Qwen3.6-35B-v2-MoE-Ablit-Heretic-Uncensor-Hermes-MTP-Vision-FT / DATASETS.md

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	# Dataset sources

	This list attributes the sources recorded for the three training runs (6,000 / 12,000 / 16,000 uses). A record use is not necessarily a unique image or example. Selected samples were used, not entire upstream datasets. Follow each source page for its description and licensing; those licenses are not replaced by the model license.

	## Private, manually prepared packages

	\| Package \| Recorded uses \| Source \|
	\|---\|---:\|---\|
	\| Broad adult learning \| 3,070 \| Private curation; not distributed \|
	\| Synthetic 3D model adult learning \| 133 \| Private synthetic multi-view groups; not distributed \|

	## Public sources in the local training pool

	Counts are grouped by source adapter, so multiple rows can point to the same upstream dataset.

	\| Source / adapter \| Recorded uses \| Source page \|
	\|---\|---:\|---\|
	\| `2796gauravc/agentic-search-data` \| 176 \| [2796gauravc/agentic-search-data](https://huggingface.co/datasets/2796gauravc/agentic-search-data) \|
	\| `A02_CHINESE_DIRECT_FRESH` \| 6 \| [Richarddzz/NSFW-Chinese-Adult-Image-Caption](https://huggingface.co/datasets/Richarddzz/NSFW-Chinese-Adult-Image-Caption) \|
	\| `A03_HDR` \| 17 \| [thisnick/nsfw-video-still-caption-grid-only](https://huggingface.co/datasets/thisnick/nsfw-video-still-caption-grid-only) \|
	\| `A03_VIDEO_STILLS` \| 51 \| [thisnick/nsfw-video-still-caption-grid-only](https://huggingface.co/datasets/thisnick/nsfw-video-still-caption-grid-only) \|
	\| `AfterQuery/FinanceQA` \| 22 \| [AfterQuery/FinanceQA](https://huggingface.co/datasets/AfterQuery/FinanceQA) \|
	\| `ahhany/constructionQAs` \| 67 \| [ahhany/constructionQAs](https://huggingface.co/datasets/ahhany/constructionQAs) \|
	\| `Ailiance-fr/mascarade-stm32-dataset` \| 140 \| [Ailiance-fr/mascarade-stm32-dataset](https://huggingface.co/datasets/Ailiance-fr/mascarade-stm32-dataset) \|
	\| `Alogotron/game-theory-business-strategy` \| 1 \| [Alogotron/game-theory-business-strategy](https://huggingface.co/datasets/Alogotron/game-theory-business-strategy) \|
	\| `AmazonScience/migration-bench-java-full` \| 252 \| [AmazonScience/migration-bench-java-full](https://huggingface.co/datasets/AmazonScience/migration-bench-java-full) \|
	\| `Atomic-Germ/Pygame-data` \| 147 \| [Atomic-Germ/Pygame-data](https://huggingface.co/datasets/Atomic-Germ/Pygame-data) \|
	\| `B01_VQARAD_DIRECT` \| 40 \| [abhay2812/vqa-rad](https://huggingface.co/datasets/abhay2812/vqa-rad) \|
	\| `B02_BODY_MEASUREMENTS_UNIQUEDATA_ADULT_DIRECT_0019` \| 1 \| [UniqueData/body-measurements-dataset](https://huggingface.co/datasets/UniqueData/body-measurements-dataset) \|
	\| `B02_FASHION_DE` \| 52 \| [jinaai/fashion-captions-de](https://huggingface.co/datasets/jinaai/fashion-captions-de) \|
	\| `B02_HUMANPOSE_DENSEPOSE_SMALLDATA_DIRECT_0067` \| 5 \| [jschoormans/humanpose_densepose](https://huggingface.co/datasets/jschoormans/humanpose_densepose) \|
	\| `B03_CAULDRON_VISUAL7W` \| 31 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B03_CAULDRON_VQAV2` \| 32 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B04_CAULDRON_LNARR` \| 34 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B04_CAULDRON_TEXTCAPS` \| 29 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B05_CAPTCHA_HANDOFF_VENUSBENCH_0219` \| 60 \| [inclusionAI/VenusBench-CAPTCHA](https://huggingface.co/datasets/inclusionAI/VenusBench-CAPTCHA) \|
	\| `B05_ORCHARD_GUI` \| 100 \| [microsoft/Orchard](https://huggingface.co/datasets/microsoft/Orchard) \|
	\| `B05_UNIGUI1` \| 15 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B05_UNIGUI2` \| 15 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B06_CHARTQA` \| 16 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B06_DOCVQA` \| 18 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B06_GEOGUESSR_COUNTRY_CAPPED_0116` \| 7 \| [fren-gor/geoguessr-locations](https://huggingface.co/datasets/fren-gor/geoguessr-locations) \|
	\| `B06_INFOVQA` \| 19 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B06_MAPQA` \| 3 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B06_MEMES_HF_CAPPED_DEDUP` \| 10 \| [sin3142/memes-1500](https://huggingface.co/datasets/sin3142/memes-1500) \|
	\| `B06_OCRVQA` \| 15 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B06_RENDERED` \| 7 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B06_TEXTVQA` \| 15 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B07_AKIS` \| 13 \| [OttomanNLP/Akis-Ottoman-Dataset](https://huggingface.co/datasets/OttomanNLP/Akis-Ottoman-Dataset) \|
	\| `B07_CHURRO` \| 15 \| [OttomanNLP/CHURRO-Ottoman-Turkish-Subset](https://huggingface.co/datasets/OttomanNLP/CHURRO-Ottoman-Turkish-Subset) \|
	\| `B07_PERSIAN` \| 8 \| [MR3z4/persian-handwriting-ocr](https://huggingface.co/datasets/MR3z4/persian-handwriting-ocr) \|
	\| `B08_CAULDRON_AI2D` \| 21 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B08_OPEN_SCHEMATICS` \| 82 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B09_3DCODE_DIRECT_CAPPED_0212` \| 16 \| [YipengGao/3DCode](https://huggingface.co/datasets/YipengGao/3DCode) \|
	\| `B09_CAP3D_ABO` \| 17 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B10_AI2D` \| 26 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B10_FIGUREQA` \| 18 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B10_PLOTQA` \| 12 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B10_SCIENCEQA` \| 14 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B11_OPENWEBRL_REUSE` \| 32 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B11_ORCHARD_SEQUENCE` \| 3 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B12_CAULDRON_AOKVQA` \| 19 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B12_CAULDRON_CLEVR` \| 8 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B12_CAULDRON_COCOQA` \| 18 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B12_CAULDRON_NLVR2` \| 12 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B12_CAULDRON_OKVQA` \| 11 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B13_FACE_EXPRESSION_MIT_DIRECT_0392` \| 4 \| [Prasanna18/Human-Face_Images_for_Emotion_Recognition](https://huggingface.co/datasets/Prasanna18/Human-Face_Images_for_Emotion_Recognition) \|
	\| `Bakanayatsu/nsfw-image-public` \| 1 \| [Bakanayatsu/nsfw-image-public](https://huggingface.co/datasets/Bakanayatsu/nsfw-image-public) \|
	\| `bernabepuente/backend-api-instruction-dataset` \| 132 \| [bernabepuente/backend-api-instruction-dataset](https://huggingface.co/datasets/bernabepuente/backend-api-instruction-dataset) \|
	\| `BYC-Sophie/samsum-chatgpt-summary` \| 46 \| [BYC-Sophie/samsum-chatgpt-summary](https://huggingface.co/datasets/BYC-Sophie/samsum-chatgpt-summary) \|
	\| `CATIE-AQ/XMRec_reviews_fr_Electronics` \| 972 \| [CATIE-AQ/XMRec_reviews_fr_Electronics](https://huggingface.co/datasets/CATIE-AQ/XMRec_reviews_fr_Electronics) \|
	\| `Chat-Error/anime_pretraining_2` \| 96 \| [Chat-Error/anime_pretraining_2](https://huggingface.co/datasets/Chat-Error/anime_pretraining_2) \|
	\| `Christine-HiAiPerf/canadian-tax-law-qa` \| 948 \| [Christine-HiAiPerf/canadian-tax-law-qa](https://huggingface.co/datasets/Christine-HiAiPerf/canadian-tax-law-qa) \|
	\| `ChuckMcSneed/various_RP_system_prompts` \| 87 \| [ChuckMcSneed/various_RP_system_prompts](https://huggingface.co/datasets/ChuckMcSneed/various_RP_system_prompts) \|
	\| `ClarusC64/legal-advice-email-risk-option-instruction-coherence-v0.1` \| 3 \| [ClarusC64/legal-advice-email-risk-option-instruction-coherence-v0.1](https://huggingface.co/datasets/ClarusC64/legal-advice-email-risk-option-instruction-coherence-v0.1) \|
	\| `ClarusC64/legal-counsel-brief-fact-issue-instruction-coherence-risk-v0.1` \| 4 \| [ClarusC64/legal-counsel-brief-fact-issue-instruction-coherence-risk-v0.1](https://huggingface.co/datasets/ClarusC64/legal-counsel-brief-fact-issue-instruction-coherence-risk-v0.1) \|
	\| `ClarusC64/network-security-route-hijack-coherence-risk-v0.1` \| 3 \| [ClarusC64/network-security-route-hijack-coherence-risk-v0.1](https://huggingface.co/datasets/ClarusC64/network-security-route-hijack-coherence-risk-v0.1) \|
	\| `CollateralAnalytics/kgp-synthetic-customer-behavior-segments` \| 1 \| [CollateralAnalytics/kgp-synthetic-customer-behavior-segments](https://huggingface.co/datasets/CollateralAnalytics/kgp-synthetic-customer-behavior-segments) \|
	\| `community-datasets/europa_eac_tm` \| 288 \| [community-datasets/europa_eac_tm](https://huggingface.co/datasets/community-datasets/europa_eac_tm) \|
	\| `contralabs/creative-ad-design-dataset` \| 4 \| [contralabs/creative-ad-design-dataset](https://huggingface.co/datasets/contralabs/creative-ad-design-dataset) \|
	\| `cowWhySo/pentest-redteam-steering` \| 151 \| [cowWhySo/pentest-redteam-steering](https://huggingface.co/datasets/cowWhySo/pentest-redteam-steering) \|
	\| `crazycog/linux-sysadmin-qa-askhole` \| 78 \| [crazycog/linux-sysadmin-qa-askhole](https://huggingface.co/datasets/crazycog/linux-sysadmin-qa-askhole) \|
	\| `crazycog/linux-sysadmin-qa-askhole-v1` \| 782 \| [crazycog/linux-sysadmin-qa-askhole-v1](https://huggingface.co/datasets/crazycog/linux-sysadmin-qa-askhole-v1) \|
	\| `CyberNative/Code_Vulnerability_Security_DPO` \| 486 \| [CyberNative/Code_Vulnerability_Security_DPO](https://huggingface.co/datasets/CyberNative/Code_Vulnerability_Security_DPO) \|
	\| `David-Chew-HL/Tech-Stocks-News` \| 627 \| [David-Chew-HL/Tech-Stocks-News](https://huggingface.co/datasets/David-Chew-HL/Tech-Stocks-News) \|
	\| `Draeg82/uk-gdpr-small-business-qa` \| 242 \| [Draeg82/uk-gdpr-small-business-qa](https://huggingface.co/datasets/Draeg82/uk-gdpr-small-business-qa) \|
	\| `electricsheepafrica/africa-south-sudan-global-subnational-population-statistics-f60bb180` \| 71 \| [electricsheepafrica/africa-south-sudan-global-subnational-population-statistics-f60bb180](https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-global-subnational-population-statistics-f60bb180) \|
	\| `electricsheepafrica/africa-synth-retail-and-ecommerce-supply-chain-logistics-data-nigeria` \| 677 \| [electricsheepafrica/africa-synth-retail-and-ecommerce-supply-chain-logistics-data-nigeria](https://huggingface.co/datasets/electricsheepafrica/africa-synth-retail-and-ecommerce-supply-chain-logistics-data-nigeria) \|
	\| `electricsheepafrica/africa-wearable-device-security` \| 1,662 \| [electricsheepafrica/africa-wearable-device-security](https://huggingface.co/datasets/electricsheepafrica/africa-wearable-device-security) \|
	\| `electricsheepafrica/africa-worldbank-wbl-supportive-framework-entrepreneurship-there-are-government-led-programs-sup` \| 3 \| [electricsheepafrica/africa-worldbank-wbl-supportive-framework-entrepreneurship-there-are-government-led-programs-sup](https://huggingface.co/datasets/electricsheepafrica/africa-worldbank-wbl-supportive-framework-entrepreneurship-there-are-government-led-programs-sup) \|
	\| `electricsheepafrica/nigerian_transport_and_logistics_environmental_impact` \| 684 \| [electricsheepafrica/nigerian_transport_and_logistics_environmental_impact](https://huggingface.co/datasets/electricsheepafrica/nigerian_transport_and_logistics_environmental_impact) \|
	\| `eniomecaj/embedded-systems-qa` \| 138 \| [eniomecaj/embedded-systems-qa](https://huggingface.co/datasets/eniomecaj/embedded-systems-qa) \|
	\| `facebook/asset` \| 600 \| [facebook/asset](https://huggingface.co/datasets/facebook/asset) \|
	\| `Falah/interior_design_prompts_SDXL` \| 6 \| [Falah/interior_design_prompts_SDXL](https://huggingface.co/datasets/Falah/interior_design_prompts_SDXL) \|
	\| `Finance-Agentic-AI/Portfolio-Rebalance` \| 34 \| [Finance-Agentic-AI/Portfolio-Rebalance](https://huggingface.co/datasets/Finance-Agentic-AI/Portfolio-Rebalance) \|
	\| `gjyotk/Menstrual-Health-Awareness-Dataset` \| 105 \| [gjyotk/Menstrual-Health-Awareness-Dataset](https://huggingface.co/datasets/gjyotk/Menstrual-Health-Awareness-Dataset) \|
	\| `google-research-datasets/aquamuse` \| 175 \| [google-research-datasets/aquamuse](https://huggingface.co/datasets/google-research-datasets/aquamuse) \|
	\| `google/mobile-actions` \| 278 \| [google/mobile-actions](https://huggingface.co/datasets/google/mobile-actions) \|
	\| `Gopher-Lab/huberman_lab_The_Science_of_Sexual_Development` \| 1 \| [Gopher-Lab/huberman_lab_The_Science_of_Sexual_Development](https://huggingface.co/datasets/Gopher-Lab/huberman_lab_The_Science_of_Sexual_Development) \|
	\| `greghavens/gpt-5.6-sol-coding-and-debugging-traces` \| 49 \| [greghavens/gpt-5.6-sol-coding-and-debugging-traces](https://huggingface.co/datasets/greghavens/gpt-5.6-sol-coding-and-debugging-traces) \|
	\| `gretelai/synthetic_pii_finance_multilingual` \| 371 \| [gretelai/synthetic_pii_finance_multilingual](https://huggingface.co/datasets/gretelai/synthetic_pii_finance_multilingual) \|
	\| `Gryphe/Opus-WritingPrompts` \| 51 \| [Gryphe/Opus-WritingPrompts](https://huggingface.co/datasets/Gryphe/Opus-WritingPrompts) \|
	\| `GyeongjuLee/instruction-tuning_EMH-emotional-reactions` \| 20 \| [GyeongjuLee/instruction-tuning_EMH-emotional-reactions](https://huggingface.co/datasets/GyeongjuLee/instruction-tuning_EMH-emotional-reactions) \|
	\| `Imrankhanjoya/ecommerce-onionpose` \| 305 \| [Imrankhanjoya/ecommerce-onionpose](https://huggingface.co/datasets/Imrankhanjoya/ecommerce-onionpose) \|
	\| `income/scidocs-top-20-gen-queries` \| 889 \| [income/scidocs-top-20-gen-queries](https://huggingface.co/datasets/income/scidocs-top-20-gen-queries) \|
	\| `infinite-dataset-hub/OvarianUltrasoundFeatureExtraction` \| 3 \| [infinite-dataset-hub/OvarianUltrasoundFeatureExtraction](https://huggingface.co/datasets/infinite-dataset-hub/OvarianUltrasoundFeatureExtraction) \|
	\| `introvoyz041/farmbot-arduino-firmware` \| 1 \| [introvoyz041/farmbot-arduino-firmware](https://huggingface.co/datasets/introvoyz041/farmbot-arduino-firmware) \|
	\| `ismailtasdelen/ethereum-smart-contract-security-qa` \| 64 \| [ismailtasdelen/ethereum-smart-contract-security-qa](https://huggingface.co/datasets/ismailtasdelen/ethereum-smart-contract-security-qa) \|
	\| `jjmachan/NSFW-questions-inter-cleaned_df` \| 19 \| [jjmachan/NSFW-questions-inter-cleaned_df](https://huggingface.co/datasets/jjmachan/NSFW-questions-inter-cleaned_df) \|
	\| `johndoe1100100101/nsfw_chat` \| 3 \| [johndoe1100100101/nsfw_chat](https://huggingface.co/datasets/johndoe1100100101/nsfw_chat) \|
	\| `Karmane/bitnomial-crypto-derivatives-liquidity-funding-sample` \| 248 \| [Karmane/bitnomial-crypto-derivatives-liquidity-funding-sample](https://huggingface.co/datasets/Karmane/bitnomial-crypto-derivatives-liquidity-funding-sample) \|
	\| `LeData/media-metadata-artists` \| 111 \| [LeData/media-metadata-artists](https://huggingface.co/datasets/LeData/media-metadata-artists) \|
	\| `lukealvess/forex-algotrading-m15-1000-columns` \| 9 \| [lukealvess/forex-algotrading-m15-1000-columns](https://huggingface.co/datasets/lukealvess/forex-algotrading-m15-1000-columns) \|
	\| `mandarjoshi/trivia_qa` \| 5 \| [mandarjoshi/trivia_qa](https://huggingface.co/datasets/mandarjoshi/trivia_qa) \|
	\| `mariozupan/bookkeeping-posting-schemes-2007-2023` \| 51 \| [mariozupan/bookkeeping-posting-schemes-2007-2023](https://huggingface.co/datasets/mariozupan/bookkeeping-posting-schemes-2007-2023) \|
	\| `matzejo/godot-lora-dataset` \| 144 \| [matzejo/godot-lora-dataset](https://huggingface.co/datasets/matzejo/godot-lora-dataset) \|
	\| `MCES10-Software/SwiftUI-Code-Examples` \| 201 \| [MCES10-Software/SwiftUI-Code-Examples](https://huggingface.co/datasets/MCES10-Software/SwiftUI-Code-Examples) \|
	\| `mercor/apex-accounting` \| 9 \| [mercor/apex-accounting](https://huggingface.co/datasets/mercor/apex-accounting) \|
	\| `mikegarts/oa_tell_a_joke_20000` \| 114 \| [mikegarts/oa_tell_a_joke_20000](https://huggingface.co/datasets/mikegarts/oa_tell_a_joke_20000) \|
	\| `MindOSProducer/Mind-OS-33-Protocols` \| 25 \| [MindOSProducer/Mind-OS-33-Protocols](https://huggingface.co/datasets/MindOSProducer/Mind-OS-33-Protocols) \|
	\| `MLBtrio/genz-slang-dataset` \| 54 \| [MLBtrio/genz-slang-dataset](https://huggingface.co/datasets/MLBtrio/genz-slang-dataset) \|
	\| `MuratcanKoylan/MarketingStructuralPrompts` \| 536 \| [MuratcanKoylan/MarketingStructuralPrompts](https://huggingface.co/datasets/MuratcanKoylan/MarketingStructuralPrompts) \|
	\| `MuratKomurcu/stm32-hal-dataset` \| 369 \| [MuratKomurcu/stm32-hal-dataset](https://huggingface.co/datasets/MuratKomurcu/stm32-hal-dataset) \|
	\| `nebulatech/pharma-digital-marketing-dataset` \| 1 \| [nebulatech/pharma-digital-marketing-dataset](https://huggingface.co/datasets/nebulatech/pharma-digital-marketing-dataset) \|
	\| `neural-bridge/rag-dataset-1200` \| 94 \| [neural-bridge/rag-dataset-1200](https://huggingface.co/datasets/neural-bridge/rag-dataset-1200) \|
	\| `nibeditans/crros-customer-behavior-dataset` \| 600 \| [nibeditans/crros-customer-behavior-dataset](https://huggingface.co/datasets/nibeditans/crros-customer-behavior-dataset) \|
	\| `nvidia/AudioSkills` \| 10 \| [nvidia/AudioSkills](https://huggingface.co/datasets/nvidia/AudioSkills) \|
	\| `odemzkolo/flaws-cloudtrail-security-qa` \| 109 \| [odemzkolo/flaws-cloudtrail-security-qa](https://huggingface.co/datasets/odemzkolo/flaws-cloudtrail-security-qa) \|
	\| `pdfqa/pdfQA-Annotations` \| 83 \| [pdfqa/pdfQA-Annotations](https://huggingface.co/datasets/pdfqa/pdfQA-Annotations) \|
	\| `propfirmkey/prop-trading-qa-conversational-ai` \| 50 \| [propfirmkey/prop-trading-qa-conversational-ai](https://huggingface.co/datasets/propfirmkey/prop-trading-qa-conversational-ai) \|
	\| `RafaM97/marketing_social_media` \| 672 \| [RafaM97/marketing_social_media](https://huggingface.co/datasets/RafaM97/marketing_social_media) \|
	\| `reddit-tools-HF/reddit-bestofredditorupdates-processed` \| 45 \| [reddit-tools-HF/reddit-bestofredditorupdates-processed](https://huggingface.co/datasets/reddit-tools-HF/reddit-bestofredditorupdates-processed) \|
	\| `referencesource/router-firmware-support-status` \| 260 \| [referencesource/router-firmware-support-status](https://huggingface.co/datasets/referencesource/router-firmware-support-status) \|
	\| `reknine69/QA-citations` \| 176 \| [reknine69/QA-citations](https://huggingface.co/datasets/reknine69/QA-citations) \|
	\| `reloading0101/threat-intelligence-dataset` \| 917 \| [reloading0101/threat-intelligence-dataset](https://huggingface.co/datasets/reloading0101/threat-intelligence-dataset) \|
	\| `Richarddzz/NSFW-Chinese-Adult-Image-Caption` \| 7 \| [Richarddzz/NSFW-Chinese-Adult-Image-Caption](https://huggingface.co/datasets/Richarddzz/NSFW-Chinese-Adult-Image-Caption) \|
	\| `rx1lora/StoryPlay_RolePlay-NPCv2` \| 9 \| [rx1lora/StoryPlay_RolePlay-NPCv2](https://huggingface.co/datasets/rx1lora/StoryPlay_RolePlay-NPCv2) \|
	\| `Salesforce/wikitext` \| 248 \| [Salesforce/wikitext](https://huggingface.co/datasets/Salesforce/wikitext) \|
	\| `samuelandaudreymedianetwork/partnerships-and-media-references` \| 45 \| [samuelandaudreymedianetwork/partnerships-and-media-references](https://huggingface.co/datasets/samuelandaudreymedianetwork/partnerships-and-media-references) \|
	\| `sangamdas/Execution-Finality-Security-for-Agentic-AI-Autonomous-Systems-Cloud-Payments-Telecom-OS-and-Robo` \| 85 \| [sangamdas/Execution-Finality-Security-for-Agentic-AI-Autonomous-Systems-Cloud-Payments-Telecom-OS-and-Robo](https://huggingface.co/datasets/sangamdas/Execution-Finality-Security-for-Agentic-AI-Autonomous-Systems-Cloud-Payments-Telecom-OS-and-Robo) \|
	\| `sergiogpinto/memefact-templates` \| 94 \| [sergiogpinto/memefact-templates](https://huggingface.co/datasets/sergiogpinto/memefact-templates) \|
	\| `shahryars/vazirweb-persian-social-media-content` \| 9 \| [shahryars/vazirweb-persian-social-media-content](https://huggingface.co/datasets/shahryars/vazirweb-persian-social-media-content) \|
	\| `SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed` \| 10 \| [SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed](https://huggingface.co/datasets/SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed) \|
	\| `sidddd625/adaption-business-compliance-qa-in-devanagri-script` \| 8 \| [sidddd625/adaption-business-compliance-qa-in-devanagri-script](https://huggingface.co/datasets/sidddd625/adaption-business-compliance-qa-in-devanagri-script) \|
	\| `socialmediaie/SocialMediaIE-MetaCorpus-v1` \| 244 \| [socialmediaie/SocialMediaIE-MetaCorpus-v1](https://huggingface.co/datasets/socialmediaie/SocialMediaIE-MetaCorpus-v1) \|
	\| `starknet-ai/cairo-security-audits` \| 133 \| [starknet-ai/cairo-security-audits](https://huggingface.co/datasets/starknet-ai/cairo-security-audits) \|
	\| `stindardlogic/brainstorming-ideation-sft-100k` \| 99 \| [stindardlogic/brainstorming-ideation-sft-100k](https://huggingface.co/datasets/stindardlogic/brainstorming-ideation-sft-100k) \|
	\| `Svngoku/adaption-african-research-literature-current-events-qa` \| 34 \| [Svngoku/adaption-african-research-literature-current-events-qa](https://huggingface.co/datasets/Svngoku/adaption-african-research-literature-current-events-qa) \|
	\| `tahamajs/bitcoin-investment-advisory-dataset` \| 10 \| [tahamajs/bitcoin-investment-advisory-dataset](https://huggingface.co/datasets/tahamajs/bitcoin-investment-advisory-dataset) \|
	\| `th1nhng0/vietnamese-legal-documents` \| 86 \| [th1nhng0/vietnamese-legal-documents](https://huggingface.co/datasets/th1nhng0/vietnamese-legal-documents) \|
	\| `thisnick/nsfw-video-still-caption-grid-only` \| 101 \| [thisnick/nsfw-video-still-caption-grid-only](https://huggingface.co/datasets/thisnick/nsfw-video-still-caption-grid-only) \|
	\| `uncledecart/rtos` \| 10 \| [uncledecart/rtos](https://huggingface.co/datasets/uncledecart/rtos) \|
	\| `Uris001/equity-research-dataset` \| 58 \| [Uris001/equity-research-dataset](https://huggingface.co/datasets/Uris001/equity-research-dataset) \|
	\| `victorzarzu/interior-design-prompt-editing-dataset-test` \| 23 \| [victorzarzu/interior-design-prompt-editing-dataset-test](https://huggingface.co/datasets/victorzarzu/interior-design-prompt-editing-dataset-test) \|
	\| `vishnuOI/unity-dev-instructions` \| 142 \| [vishnuOI/unity-dev-instructions](https://huggingface.co/datasets/vishnuOI/unity-dev-instructions) \|
	\| `yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K` \| 12 \| [yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K](https://huggingface.co/datasets/yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K) \|
	\| `Yoav-omer/startups` \| 1,168 \| [Yoav-omer/startups](https://huggingface.co/datasets/Yoav-omer/startups) \|
	\| `YUXCulturalAILab/senegal-maternal-health-qa` \| 7 \| [YUXCulturalAILab/senegal-maternal-health-qa](https://huggingface.co/datasets/YUXCulturalAILab/senegal-maternal-health-qa) \|

	## Additional run-2 / run-3 sources

	These rows account for all 10,350 uses from the additional external-source pool, reconciled against the per-record training backup.

	\| Source \| Individually recoverable uses \|
	\|---\|---:\|
	\| [HuggingFaceH4/no_robots](https://huggingface.co/datasets/HuggingFaceH4/no_robots) \| 3,175 \|
	\| [MegaScience/TextbookReasoning](https://huggingface.co/datasets/MegaScience/TextbookReasoning) \| 5,000 \|
	\| [allenai/ai2_arc](https://huggingface.co/datasets/allenai/ai2_arc) \| 450 \|
	\| [allenai/qasc](https://huggingface.co/datasets/allenai/qasc) \| 450 \|
	\| [heyalexchoi/qwen3-math-concise-sft-v3](https://huggingface.co/datasets/heyalexchoi/qwen3-math-concise-sft-v3) \| 375 \|
	\| [openai/gsm8k](https://huggingface.co/datasets/openai/gsm8k) \| 900 \|

	## Attribution notes

	Source URLs identify attribution, not an endorsement or a claim of complete license review. Some retained adapters have no recoverable upstream URL; these are explicitly marked rather than linked to a guessed dataset. Original release lineage is documented in the model card.

	# Dataset sources

	This list attributes the sources recorded for the three training runs (6,000 / 12,000 / 16,000 uses). A record use is not necessarily a unique image or example. Selected samples were used, not entire upstream datasets. Follow each source page for its description and licensing; those licenses are not replaced by the model license.

	## Private, manually prepared packages

	\| Package \| Recorded uses \| Source \|
	\|---\|---:\|---\|
	\| Broad adult learning \| 3,070 \| Private curation; not distributed \|
	\| Synthetic 3D model adult learning \| 133 \| Private synthetic multi-view groups; not distributed \|

	## Public sources in the local training pool

	Counts are grouped by source adapter, so multiple rows can point to the same upstream dataset.

	\| Source / adapter \| Recorded uses \| Source page \|
	\|---\|---:\|---\|
	\| `2796gauravc/agentic-search-data` \| 176 \| [2796gauravc/agentic-search-data](https://huggingface.co/datasets/2796gauravc/agentic-search-data) \|
	\| `A02_CHINESE_DIRECT_FRESH` \| 6 \| [Richarddzz/NSFW-Chinese-Adult-Image-Caption](https://huggingface.co/datasets/Richarddzz/NSFW-Chinese-Adult-Image-Caption) \|
	\| `A03_HDR` \| 17 \| [thisnick/nsfw-video-still-caption-grid-only](https://huggingface.co/datasets/thisnick/nsfw-video-still-caption-grid-only) \|
	\| `A03_VIDEO_STILLS` \| 51 \| [thisnick/nsfw-video-still-caption-grid-only](https://huggingface.co/datasets/thisnick/nsfw-video-still-caption-grid-only) \|
	\| `AfterQuery/FinanceQA` \| 22 \| [AfterQuery/FinanceQA](https://huggingface.co/datasets/AfterQuery/FinanceQA) \|
	\| `ahhany/constructionQAs` \| 67 \| [ahhany/constructionQAs](https://huggingface.co/datasets/ahhany/constructionQAs) \|
	\| `Ailiance-fr/mascarade-stm32-dataset` \| 140 \| [Ailiance-fr/mascarade-stm32-dataset](https://huggingface.co/datasets/Ailiance-fr/mascarade-stm32-dataset) \|
	\| `Alogotron/game-theory-business-strategy` \| 1 \| [Alogotron/game-theory-business-strategy](https://huggingface.co/datasets/Alogotron/game-theory-business-strategy) \|
	\| `AmazonScience/migration-bench-java-full` \| 252 \| [AmazonScience/migration-bench-java-full](https://huggingface.co/datasets/AmazonScience/migration-bench-java-full) \|
	\| `Atomic-Germ/Pygame-data` \| 147 \| [Atomic-Germ/Pygame-data](https://huggingface.co/datasets/Atomic-Germ/Pygame-data) \|
	\| `B01_VQARAD_DIRECT` \| 40 \| [abhay2812/vqa-rad](https://huggingface.co/datasets/abhay2812/vqa-rad) \|
	\| `B02_BODY_MEASUREMENTS_UNIQUEDATA_ADULT_DIRECT_0019` \| 1 \| [UniqueData/body-measurements-dataset](https://huggingface.co/datasets/UniqueData/body-measurements-dataset) \|
	\| `B02_FASHION_DE` \| 52 \| [jinaai/fashion-captions-de](https://huggingface.co/datasets/jinaai/fashion-captions-de) \|
	\| `B02_HUMANPOSE_DENSEPOSE_SMALLDATA_DIRECT_0067` \| 5 \| [jschoormans/humanpose_densepose](https://huggingface.co/datasets/jschoormans/humanpose_densepose) \|
	\| `B03_CAULDRON_VISUAL7W` \| 31 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B03_CAULDRON_VQAV2` \| 32 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B04_CAULDRON_LNARR` \| 34 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B04_CAULDRON_TEXTCAPS` \| 29 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B05_CAPTCHA_HANDOFF_VENUSBENCH_0219` \| 60 \| [inclusionAI/VenusBench-CAPTCHA](https://huggingface.co/datasets/inclusionAI/VenusBench-CAPTCHA) \|
	\| `B05_ORCHARD_GUI` \| 100 \| [microsoft/Orchard](https://huggingface.co/datasets/microsoft/Orchard) \|
	\| `B05_UNIGUI1` \| 15 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B05_UNIGUI2` \| 15 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B06_CHARTQA` \| 16 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B06_DOCVQA` \| 18 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B06_GEOGUESSR_COUNTRY_CAPPED_0116` \| 7 \| [fren-gor/geoguessr-locations](https://huggingface.co/datasets/fren-gor/geoguessr-locations) \|
	\| `B06_INFOVQA` \| 19 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B06_MAPQA` \| 3 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B06_MEMES_HF_CAPPED_DEDUP` \| 10 \| [sin3142/memes-1500](https://huggingface.co/datasets/sin3142/memes-1500) \|
	\| `B06_OCRVQA` \| 15 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B06_RENDERED` \| 7 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B06_TEXTVQA` \| 15 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B07_AKIS` \| 13 \| [OttomanNLP/Akis-Ottoman-Dataset](https://huggingface.co/datasets/OttomanNLP/Akis-Ottoman-Dataset) \|
	\| `B07_CHURRO` \| 15 \| [OttomanNLP/CHURRO-Ottoman-Turkish-Subset](https://huggingface.co/datasets/OttomanNLP/CHURRO-Ottoman-Turkish-Subset) \|
	\| `B07_PERSIAN` \| 8 \| [MR3z4/persian-handwriting-ocr](https://huggingface.co/datasets/MR3z4/persian-handwriting-ocr) \|
	\| `B08_CAULDRON_AI2D` \| 21 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B08_OPEN_SCHEMATICS` \| 82 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B09_3DCODE_DIRECT_CAPPED_0212` \| 16 \| [YipengGao/3DCode](https://huggingface.co/datasets/YipengGao/3DCode) \|
	\| `B09_CAP3D_ABO` \| 17 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B10_AI2D` \| 26 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B10_FIGUREQA` \| 18 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B10_PLOTQA` \| 12 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B10_SCIENCEQA` \| 14 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B11_OPENWEBRL_REUSE` \| 32 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B11_ORCHARD_SEQUENCE` \| 3 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B12_CAULDRON_AOKVQA` \| 19 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B12_CAULDRON_CLEVR` \| 8 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B12_CAULDRON_COCOQA` \| 18 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B12_CAULDRON_NLVR2` \| 12 \| [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) \|
	\| `B12_CAULDRON_OKVQA` \| 11 \| Local adapter; exact upstream URL not recoverable from the retained source lock \|
	\| `B13_FACE_EXPRESSION_MIT_DIRECT_0392` \| 4 \| [Prasanna18/Human-Face_Images_for_Emotion_Recognition](https://huggingface.co/datasets/Prasanna18/Human-Face_Images_for_Emotion_Recognition) \|
	\| `Bakanayatsu/nsfw-image-public` \| 1 \| [Bakanayatsu/nsfw-image-public](https://huggingface.co/datasets/Bakanayatsu/nsfw-image-public) \|
	\| `bernabepuente/backend-api-instruction-dataset` \| 132 \| [bernabepuente/backend-api-instruction-dataset](https://huggingface.co/datasets/bernabepuente/backend-api-instruction-dataset) \|
	\| `BYC-Sophie/samsum-chatgpt-summary` \| 46 \| [BYC-Sophie/samsum-chatgpt-summary](https://huggingface.co/datasets/BYC-Sophie/samsum-chatgpt-summary) \|
	\| `CATIE-AQ/XMRec_reviews_fr_Electronics` \| 972 \| [CATIE-AQ/XMRec_reviews_fr_Electronics](https://huggingface.co/datasets/CATIE-AQ/XMRec_reviews_fr_Electronics) \|
	\| `Chat-Error/anime_pretraining_2` \| 96 \| [Chat-Error/anime_pretraining_2](https://huggingface.co/datasets/Chat-Error/anime_pretraining_2) \|
	\| `Christine-HiAiPerf/canadian-tax-law-qa` \| 948 \| [Christine-HiAiPerf/canadian-tax-law-qa](https://huggingface.co/datasets/Christine-HiAiPerf/canadian-tax-law-qa) \|
	\| `ChuckMcSneed/various_RP_system_prompts` \| 87 \| [ChuckMcSneed/various_RP_system_prompts](https://huggingface.co/datasets/ChuckMcSneed/various_RP_system_prompts) \|
	\| `ClarusC64/legal-advice-email-risk-option-instruction-coherence-v0.1` \| 3 \| [ClarusC64/legal-advice-email-risk-option-instruction-coherence-v0.1](https://huggingface.co/datasets/ClarusC64/legal-advice-email-risk-option-instruction-coherence-v0.1) \|
	\| `ClarusC64/legal-counsel-brief-fact-issue-instruction-coherence-risk-v0.1` \| 4 \| [ClarusC64/legal-counsel-brief-fact-issue-instruction-coherence-risk-v0.1](https://huggingface.co/datasets/ClarusC64/legal-counsel-brief-fact-issue-instruction-coherence-risk-v0.1) \|
	\| `ClarusC64/network-security-route-hijack-coherence-risk-v0.1` \| 3 \| [ClarusC64/network-security-route-hijack-coherence-risk-v0.1](https://huggingface.co/datasets/ClarusC64/network-security-route-hijack-coherence-risk-v0.1) \|
	\| `CollateralAnalytics/kgp-synthetic-customer-behavior-segments` \| 1 \| [CollateralAnalytics/kgp-synthetic-customer-behavior-segments](https://huggingface.co/datasets/CollateralAnalytics/kgp-synthetic-customer-behavior-segments) \|
	\| `community-datasets/europa_eac_tm` \| 288 \| [community-datasets/europa_eac_tm](https://huggingface.co/datasets/community-datasets/europa_eac_tm) \|
	\| `contralabs/creative-ad-design-dataset` \| 4 \| [contralabs/creative-ad-design-dataset](https://huggingface.co/datasets/contralabs/creative-ad-design-dataset) \|
	\| `cowWhySo/pentest-redteam-steering` \| 151 \| [cowWhySo/pentest-redteam-steering](https://huggingface.co/datasets/cowWhySo/pentest-redteam-steering) \|
	\| `crazycog/linux-sysadmin-qa-askhole` \| 78 \| [crazycog/linux-sysadmin-qa-askhole](https://huggingface.co/datasets/crazycog/linux-sysadmin-qa-askhole) \|
	\| `crazycog/linux-sysadmin-qa-askhole-v1` \| 782 \| [crazycog/linux-sysadmin-qa-askhole-v1](https://huggingface.co/datasets/crazycog/linux-sysadmin-qa-askhole-v1) \|
	\| `CyberNative/Code_Vulnerability_Security_DPO` \| 486 \| [CyberNative/Code_Vulnerability_Security_DPO](https://huggingface.co/datasets/CyberNative/Code_Vulnerability_Security_DPO) \|
	\| `David-Chew-HL/Tech-Stocks-News` \| 627 \| [David-Chew-HL/Tech-Stocks-News](https://huggingface.co/datasets/David-Chew-HL/Tech-Stocks-News) \|
	\| `Draeg82/uk-gdpr-small-business-qa` \| 242 \| [Draeg82/uk-gdpr-small-business-qa](https://huggingface.co/datasets/Draeg82/uk-gdpr-small-business-qa) \|
	\| `electricsheepafrica/africa-south-sudan-global-subnational-population-statistics-f60bb180` \| 71 \| [electricsheepafrica/africa-south-sudan-global-subnational-population-statistics-f60bb180](https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-global-subnational-population-statistics-f60bb180) \|
	\| `electricsheepafrica/africa-synth-retail-and-ecommerce-supply-chain-logistics-data-nigeria` \| 677 \| [electricsheepafrica/africa-synth-retail-and-ecommerce-supply-chain-logistics-data-nigeria](https://huggingface.co/datasets/electricsheepafrica/africa-synth-retail-and-ecommerce-supply-chain-logistics-data-nigeria) \|
	\| `electricsheepafrica/africa-wearable-device-security` \| 1,662 \| [electricsheepafrica/africa-wearable-device-security](https://huggingface.co/datasets/electricsheepafrica/africa-wearable-device-security) \|
	\| `electricsheepafrica/africa-worldbank-wbl-supportive-framework-entrepreneurship-there-are-government-led-programs-sup` \| 3 \| [electricsheepafrica/africa-worldbank-wbl-supportive-framework-entrepreneurship-there-are-government-led-programs-sup](https://huggingface.co/datasets/electricsheepafrica/africa-worldbank-wbl-supportive-framework-entrepreneurship-there-are-government-led-programs-sup) \|
	\| `electricsheepafrica/nigerian_transport_and_logistics_environmental_impact` \| 684 \| [electricsheepafrica/nigerian_transport_and_logistics_environmental_impact](https://huggingface.co/datasets/electricsheepafrica/nigerian_transport_and_logistics_environmental_impact) \|
	\| `eniomecaj/embedded-systems-qa` \| 138 \| [eniomecaj/embedded-systems-qa](https://huggingface.co/datasets/eniomecaj/embedded-systems-qa) \|
	\| `facebook/asset` \| 600 \| [facebook/asset](https://huggingface.co/datasets/facebook/asset) \|
	\| `Falah/interior_design_prompts_SDXL` \| 6 \| [Falah/interior_design_prompts_SDXL](https://huggingface.co/datasets/Falah/interior_design_prompts_SDXL) \|
	\| `Finance-Agentic-AI/Portfolio-Rebalance` \| 34 \| [Finance-Agentic-AI/Portfolio-Rebalance](https://huggingface.co/datasets/Finance-Agentic-AI/Portfolio-Rebalance) \|
	\| `gjyotk/Menstrual-Health-Awareness-Dataset` \| 105 \| [gjyotk/Menstrual-Health-Awareness-Dataset](https://huggingface.co/datasets/gjyotk/Menstrual-Health-Awareness-Dataset) \|
	\| `google-research-datasets/aquamuse` \| 175 \| [google-research-datasets/aquamuse](https://huggingface.co/datasets/google-research-datasets/aquamuse) \|
	\| `google/mobile-actions` \| 278 \| [google/mobile-actions](https://huggingface.co/datasets/google/mobile-actions) \|
	\| `Gopher-Lab/huberman_lab_The_Science_of_Sexual_Development` \| 1 \| [Gopher-Lab/huberman_lab_The_Science_of_Sexual_Development](https://huggingface.co/datasets/Gopher-Lab/huberman_lab_The_Science_of_Sexual_Development) \|
	\| `greghavens/gpt-5.6-sol-coding-and-debugging-traces` \| 49 \| [greghavens/gpt-5.6-sol-coding-and-debugging-traces](https://huggingface.co/datasets/greghavens/gpt-5.6-sol-coding-and-debugging-traces) \|
	\| `gretelai/synthetic_pii_finance_multilingual` \| 371 \| [gretelai/synthetic_pii_finance_multilingual](https://huggingface.co/datasets/gretelai/synthetic_pii_finance_multilingual) \|
	\| `Gryphe/Opus-WritingPrompts` \| 51 \| [Gryphe/Opus-WritingPrompts](https://huggingface.co/datasets/Gryphe/Opus-WritingPrompts) \|
	\| `GyeongjuLee/instruction-tuning_EMH-emotional-reactions` \| 20 \| [GyeongjuLee/instruction-tuning_EMH-emotional-reactions](https://huggingface.co/datasets/GyeongjuLee/instruction-tuning_EMH-emotional-reactions) \|
	\| `Imrankhanjoya/ecommerce-onionpose` \| 305 \| [Imrankhanjoya/ecommerce-onionpose](https://huggingface.co/datasets/Imrankhanjoya/ecommerce-onionpose) \|
	\| `income/scidocs-top-20-gen-queries` \| 889 \| [income/scidocs-top-20-gen-queries](https://huggingface.co/datasets/income/scidocs-top-20-gen-queries) \|
	\| `infinite-dataset-hub/OvarianUltrasoundFeatureExtraction` \| 3 \| [infinite-dataset-hub/OvarianUltrasoundFeatureExtraction](https://huggingface.co/datasets/infinite-dataset-hub/OvarianUltrasoundFeatureExtraction) \|
	\| `introvoyz041/farmbot-arduino-firmware` \| 1 \| [introvoyz041/farmbot-arduino-firmware](https://huggingface.co/datasets/introvoyz041/farmbot-arduino-firmware) \|
	\| `ismailtasdelen/ethereum-smart-contract-security-qa` \| 64 \| [ismailtasdelen/ethereum-smart-contract-security-qa](https://huggingface.co/datasets/ismailtasdelen/ethereum-smart-contract-security-qa) \|
	\| `jjmachan/NSFW-questions-inter-cleaned_df` \| 19 \| [jjmachan/NSFW-questions-inter-cleaned_df](https://huggingface.co/datasets/jjmachan/NSFW-questions-inter-cleaned_df) \|
	\| `johndoe1100100101/nsfw_chat` \| 3 \| [johndoe1100100101/nsfw_chat](https://huggingface.co/datasets/johndoe1100100101/nsfw_chat) \|
	\| `Karmane/bitnomial-crypto-derivatives-liquidity-funding-sample` \| 248 \| [Karmane/bitnomial-crypto-derivatives-liquidity-funding-sample](https://huggingface.co/datasets/Karmane/bitnomial-crypto-derivatives-liquidity-funding-sample) \|
	\| `LeData/media-metadata-artists` \| 111 \| [LeData/media-metadata-artists](https://huggingface.co/datasets/LeData/media-metadata-artists) \|
	\| `lukealvess/forex-algotrading-m15-1000-columns` \| 9 \| [lukealvess/forex-algotrading-m15-1000-columns](https://huggingface.co/datasets/lukealvess/forex-algotrading-m15-1000-columns) \|
	\| `mandarjoshi/trivia_qa` \| 5 \| [mandarjoshi/trivia_qa](https://huggingface.co/datasets/mandarjoshi/trivia_qa) \|
	\| `mariozupan/bookkeeping-posting-schemes-2007-2023` \| 51 \| [mariozupan/bookkeeping-posting-schemes-2007-2023](https://huggingface.co/datasets/mariozupan/bookkeeping-posting-schemes-2007-2023) \|
	\| `matzejo/godot-lora-dataset` \| 144 \| [matzejo/godot-lora-dataset](https://huggingface.co/datasets/matzejo/godot-lora-dataset) \|
	\| `MCES10-Software/SwiftUI-Code-Examples` \| 201 \| [MCES10-Software/SwiftUI-Code-Examples](https://huggingface.co/datasets/MCES10-Software/SwiftUI-Code-Examples) \|
	\| `mercor/apex-accounting` \| 9 \| [mercor/apex-accounting](https://huggingface.co/datasets/mercor/apex-accounting) \|
	\| `mikegarts/oa_tell_a_joke_20000` \| 114 \| [mikegarts/oa_tell_a_joke_20000](https://huggingface.co/datasets/mikegarts/oa_tell_a_joke_20000) \|
	\| `MindOSProducer/Mind-OS-33-Protocols` \| 25 \| [MindOSProducer/Mind-OS-33-Protocols](https://huggingface.co/datasets/MindOSProducer/Mind-OS-33-Protocols) \|
	\| `MLBtrio/genz-slang-dataset` \| 54 \| [MLBtrio/genz-slang-dataset](https://huggingface.co/datasets/MLBtrio/genz-slang-dataset) \|
	\| `MuratcanKoylan/MarketingStructuralPrompts` \| 536 \| [MuratcanKoylan/MarketingStructuralPrompts](https://huggingface.co/datasets/MuratcanKoylan/MarketingStructuralPrompts) \|
	\| `MuratKomurcu/stm32-hal-dataset` \| 369 \| [MuratKomurcu/stm32-hal-dataset](https://huggingface.co/datasets/MuratKomurcu/stm32-hal-dataset) \|
	\| `nebulatech/pharma-digital-marketing-dataset` \| 1 \| [nebulatech/pharma-digital-marketing-dataset](https://huggingface.co/datasets/nebulatech/pharma-digital-marketing-dataset) \|
	\| `neural-bridge/rag-dataset-1200` \| 94 \| [neural-bridge/rag-dataset-1200](https://huggingface.co/datasets/neural-bridge/rag-dataset-1200) \|
	\| `nibeditans/crros-customer-behavior-dataset` \| 600 \| [nibeditans/crros-customer-behavior-dataset](https://huggingface.co/datasets/nibeditans/crros-customer-behavior-dataset) \|
	\| `nvidia/AudioSkills` \| 10 \| [nvidia/AudioSkills](https://huggingface.co/datasets/nvidia/AudioSkills) \|
	\| `odemzkolo/flaws-cloudtrail-security-qa` \| 109 \| [odemzkolo/flaws-cloudtrail-security-qa](https://huggingface.co/datasets/odemzkolo/flaws-cloudtrail-security-qa) \|
	\| `pdfqa/pdfQA-Annotations` \| 83 \| [pdfqa/pdfQA-Annotations](https://huggingface.co/datasets/pdfqa/pdfQA-Annotations) \|
	\| `propfirmkey/prop-trading-qa-conversational-ai` \| 50 \| [propfirmkey/prop-trading-qa-conversational-ai](https://huggingface.co/datasets/propfirmkey/prop-trading-qa-conversational-ai) \|
	\| `RafaM97/marketing_social_media` \| 672 \| [RafaM97/marketing_social_media](https://huggingface.co/datasets/RafaM97/marketing_social_media) \|
	\| `reddit-tools-HF/reddit-bestofredditorupdates-processed` \| 45 \| [reddit-tools-HF/reddit-bestofredditorupdates-processed](https://huggingface.co/datasets/reddit-tools-HF/reddit-bestofredditorupdates-processed) \|
	\| `referencesource/router-firmware-support-status` \| 260 \| [referencesource/router-firmware-support-status](https://huggingface.co/datasets/referencesource/router-firmware-support-status) \|
	\| `reknine69/QA-citations` \| 176 \| [reknine69/QA-citations](https://huggingface.co/datasets/reknine69/QA-citations) \|
	\| `reloading0101/threat-intelligence-dataset` \| 917 \| [reloading0101/threat-intelligence-dataset](https://huggingface.co/datasets/reloading0101/threat-intelligence-dataset) \|
	\| `Richarddzz/NSFW-Chinese-Adult-Image-Caption` \| 7 \| [Richarddzz/NSFW-Chinese-Adult-Image-Caption](https://huggingface.co/datasets/Richarddzz/NSFW-Chinese-Adult-Image-Caption) \|
	\| `rx1lora/StoryPlay_RolePlay-NPCv2` \| 9 \| [rx1lora/StoryPlay_RolePlay-NPCv2](https://huggingface.co/datasets/rx1lora/StoryPlay_RolePlay-NPCv2) \|
	\| `Salesforce/wikitext` \| 248 \| [Salesforce/wikitext](https://huggingface.co/datasets/Salesforce/wikitext) \|
	\| `samuelandaudreymedianetwork/partnerships-and-media-references` \| 45 \| [samuelandaudreymedianetwork/partnerships-and-media-references](https://huggingface.co/datasets/samuelandaudreymedianetwork/partnerships-and-media-references) \|
	\| `sangamdas/Execution-Finality-Security-for-Agentic-AI-Autonomous-Systems-Cloud-Payments-Telecom-OS-and-Robo` \| 85 \| [sangamdas/Execution-Finality-Security-for-Agentic-AI-Autonomous-Systems-Cloud-Payments-Telecom-OS-and-Robo](https://huggingface.co/datasets/sangamdas/Execution-Finality-Security-for-Agentic-AI-Autonomous-Systems-Cloud-Payments-Telecom-OS-and-Robo) \|
	\| `sergiogpinto/memefact-templates` \| 94 \| [sergiogpinto/memefact-templates](https://huggingface.co/datasets/sergiogpinto/memefact-templates) \|
	\| `shahryars/vazirweb-persian-social-media-content` \| 9 \| [shahryars/vazirweb-persian-social-media-content](https://huggingface.co/datasets/shahryars/vazirweb-persian-social-media-content) \|
	\| `SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed` \| 10 \| [SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed](https://huggingface.co/datasets/SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed) \|
	\| `sidddd625/adaption-business-compliance-qa-in-devanagri-script` \| 8 \| [sidddd625/adaption-business-compliance-qa-in-devanagri-script](https://huggingface.co/datasets/sidddd625/adaption-business-compliance-qa-in-devanagri-script) \|
	\| `socialmediaie/SocialMediaIE-MetaCorpus-v1` \| 244 \| [socialmediaie/SocialMediaIE-MetaCorpus-v1](https://huggingface.co/datasets/socialmediaie/SocialMediaIE-MetaCorpus-v1) \|
	\| `starknet-ai/cairo-security-audits` \| 133 \| [starknet-ai/cairo-security-audits](https://huggingface.co/datasets/starknet-ai/cairo-security-audits) \|
	\| `stindardlogic/brainstorming-ideation-sft-100k` \| 99 \| [stindardlogic/brainstorming-ideation-sft-100k](https://huggingface.co/datasets/stindardlogic/brainstorming-ideation-sft-100k) \|
	\| `Svngoku/adaption-african-research-literature-current-events-qa` \| 34 \| [Svngoku/adaption-african-research-literature-current-events-qa](https://huggingface.co/datasets/Svngoku/adaption-african-research-literature-current-events-qa) \|
	\| `tahamajs/bitcoin-investment-advisory-dataset` \| 10 \| [tahamajs/bitcoin-investment-advisory-dataset](https://huggingface.co/datasets/tahamajs/bitcoin-investment-advisory-dataset) \|
	\| `th1nhng0/vietnamese-legal-documents` \| 86 \| [th1nhng0/vietnamese-legal-documents](https://huggingface.co/datasets/th1nhng0/vietnamese-legal-documents) \|
	\| `thisnick/nsfw-video-still-caption-grid-only` \| 101 \| [thisnick/nsfw-video-still-caption-grid-only](https://huggingface.co/datasets/thisnick/nsfw-video-still-caption-grid-only) \|
	\| `uncledecart/rtos` \| 10 \| [uncledecart/rtos](https://huggingface.co/datasets/uncledecart/rtos) \|
	\| `Uris001/equity-research-dataset` \| 58 \| [Uris001/equity-research-dataset](https://huggingface.co/datasets/Uris001/equity-research-dataset) \|
	\| `victorzarzu/interior-design-prompt-editing-dataset-test` \| 23 \| [victorzarzu/interior-design-prompt-editing-dataset-test](https://huggingface.co/datasets/victorzarzu/interior-design-prompt-editing-dataset-test) \|
	\| `vishnuOI/unity-dev-instructions` \| 142 \| [vishnuOI/unity-dev-instructions](https://huggingface.co/datasets/vishnuOI/unity-dev-instructions) \|
	\| `yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K` \| 12 \| [yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K](https://huggingface.co/datasets/yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K) \|
	\| `Yoav-omer/startups` \| 1,168 \| [Yoav-omer/startups](https://huggingface.co/datasets/Yoav-omer/startups) \|
	\| `YUXCulturalAILab/senegal-maternal-health-qa` \| 7 \| [YUXCulturalAILab/senegal-maternal-health-qa](https://huggingface.co/datasets/YUXCulturalAILab/senegal-maternal-health-qa) \|

	## Additional run-2 / run-3 sources

	These rows account for all 10,350 uses from the additional external-source pool, reconciled against the per-record training backup.

	\| Source \| Individually recoverable uses \|
	\|---\|---:\|
	\| [HuggingFaceH4/no_robots](https://huggingface.co/datasets/HuggingFaceH4/no_robots) \| 3,175 \|
	\| [MegaScience/TextbookReasoning](https://huggingface.co/datasets/MegaScience/TextbookReasoning) \| 5,000 \|
	\| [allenai/ai2_arc](https://huggingface.co/datasets/allenai/ai2_arc) \| 450 \|
	\| [allenai/qasc](https://huggingface.co/datasets/allenai/qasc) \| 450 \|
	\| [heyalexchoi/qwen3-math-concise-sft-v3](https://huggingface.co/datasets/heyalexchoi/qwen3-math-concise-sft-v3) \| 375 \|
	\| [openai/gsm8k](https://huggingface.co/datasets/openai/gsm8k) \| 900 \|

	## Attribution notes

	Source URLs identify attribution, not an endorsement or a claim of complete license review. Some retained adapters have no recoverable upstream URL; these are explicitly marked rather than linked to a guessed dataset. Original release lineage is documented in the model card.