Not-For-All-Audiences

abliterated

heretic

uncensor

hermes-lineage

Model card Files Files and versions

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Community

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

File size: 24,221 Bytes

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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.