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
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 |
A02_CHINESE_DIRECT_FRESH |
6 | Richarddzz/NSFW-Chinese-Adult-Image-Caption |
A03_HDR |
17 | thisnick/nsfw-video-still-caption-grid-only |
A03_VIDEO_STILLS |
51 | thisnick/nsfw-video-still-caption-grid-only |
AfterQuery/FinanceQA |
22 | AfterQuery/FinanceQA |
ahhany/constructionQAs |
67 | ahhany/constructionQAs |
Ailiance-fr/mascarade-stm32-dataset |
140 | Ailiance-fr/mascarade-stm32-dataset |
Alogotron/game-theory-business-strategy |
1 | Alogotron/game-theory-business-strategy |
AmazonScience/migration-bench-java-full |
252 | AmazonScience/migration-bench-java-full |
Atomic-Germ/Pygame-data |
147 | Atomic-Germ/Pygame-data |
B01_VQARAD_DIRECT |
40 | abhay2812/vqa-rad |
B02_BODY_MEASUREMENTS_UNIQUEDATA_ADULT_DIRECT_0019 |
1 | UniqueData/body-measurements-dataset |
B02_FASHION_DE |
52 | jinaai/fashion-captions-de |
B02_HUMANPOSE_DENSEPOSE_SMALLDATA_DIRECT_0067 |
5 | jschoormans/humanpose_densepose |
B03_CAULDRON_VISUAL7W |
31 | HuggingFaceM4/the_cauldron |
B03_CAULDRON_VQAV2 |
32 | 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 |
B05_CAPTCHA_HANDOFF_VENUSBENCH_0219 |
60 | inclusionAI/VenusBench-CAPTCHA |
B05_ORCHARD_GUI |
100 | 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 |
B06_DOCVQA |
18 | HuggingFaceM4/the_cauldron |
B06_GEOGUESSR_COUNTRY_CAPPED_0116 |
7 | 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 |
B06_MEMES_HF_CAPPED_DEDUP |
10 | sin3142/memes-1500 |
B06_OCRVQA |
15 | HuggingFaceM4/the_cauldron |
B06_RENDERED |
7 | HuggingFaceM4/the_cauldron |
B06_TEXTVQA |
15 | HuggingFaceM4/the_cauldron |
B07_AKIS |
13 | OttomanNLP/Akis-Ottoman-Dataset |
B07_CHURRO |
15 | OttomanNLP/CHURRO-Ottoman-Turkish-Subset |
B07_PERSIAN |
8 | MR3z4/persian-handwriting-ocr |
B08_CAULDRON_AI2D |
21 | 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 |
B09_CAP3D_ABO |
17 | Local adapter; exact upstream URL not recoverable from the retained source lock |
B10_AI2D |
26 | HuggingFaceM4/the_cauldron |
B10_FIGUREQA |
18 | HuggingFaceM4/the_cauldron |
B10_PLOTQA |
12 | HuggingFaceM4/the_cauldron |
B10_SCIENCEQA |
14 | 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 |
B12_CAULDRON_NLVR2 |
12 | 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 |
Bakanayatsu/nsfw-image-public |
1 | Bakanayatsu/nsfw-image-public |
bernabepuente/backend-api-instruction-dataset |
132 | bernabepuente/backend-api-instruction-dataset |
BYC-Sophie/samsum-chatgpt-summary |
46 | BYC-Sophie/samsum-chatgpt-summary |
CATIE-AQ/XMRec_reviews_fr_Electronics |
972 | CATIE-AQ/XMRec_reviews_fr_Electronics |
Chat-Error/anime_pretraining_2 |
96 | Chat-Error/anime_pretraining_2 |
Christine-HiAiPerf/canadian-tax-law-qa |
948 | Christine-HiAiPerf/canadian-tax-law-qa |
ChuckMcSneed/various_RP_system_prompts |
87 | 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 |
ClarusC64/legal-counsel-brief-fact-issue-instruction-coherence-risk-v0.1 |
4 | 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 |
CollateralAnalytics/kgp-synthetic-customer-behavior-segments |
1 | CollateralAnalytics/kgp-synthetic-customer-behavior-segments |
community-datasets/europa_eac_tm |
288 | community-datasets/europa_eac_tm |
contralabs/creative-ad-design-dataset |
4 | contralabs/creative-ad-design-dataset |
cowWhySo/pentest-redteam-steering |
151 | cowWhySo/pentest-redteam-steering |
crazycog/linux-sysadmin-qa-askhole |
78 | crazycog/linux-sysadmin-qa-askhole |
crazycog/linux-sysadmin-qa-askhole-v1 |
782 | crazycog/linux-sysadmin-qa-askhole-v1 |
CyberNative/Code_Vulnerability_Security_DPO |
486 | CyberNative/Code_Vulnerability_Security_DPO |
David-Chew-HL/Tech-Stocks-News |
627 | David-Chew-HL/Tech-Stocks-News |
Draeg82/uk-gdpr-small-business-qa |
242 | 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 |
electricsheepafrica/africa-synth-retail-and-ecommerce-supply-chain-logistics-data-nigeria |
677 | electricsheepafrica/africa-synth-retail-and-ecommerce-supply-chain-logistics-data-nigeria |
electricsheepafrica/africa-wearable-device-security |
1,662 | 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 |
electricsheepafrica/nigerian_transport_and_logistics_environmental_impact |
684 | electricsheepafrica/nigerian_transport_and_logistics_environmental_impact |
eniomecaj/embedded-systems-qa |
138 | eniomecaj/embedded-systems-qa |
facebook/asset |
600 | facebook/asset |
Falah/interior_design_prompts_SDXL |
6 | Falah/interior_design_prompts_SDXL |
Finance-Agentic-AI/Portfolio-Rebalance |
34 | Finance-Agentic-AI/Portfolio-Rebalance |
gjyotk/Menstrual-Health-Awareness-Dataset |
105 | gjyotk/Menstrual-Health-Awareness-Dataset |
google-research-datasets/aquamuse |
175 | google-research-datasets/aquamuse |
google/mobile-actions |
278 | google/mobile-actions |
Gopher-Lab/huberman_lab_The_Science_of_Sexual_Development |
1 | 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 |
gretelai/synthetic_pii_finance_multilingual |
371 | gretelai/synthetic_pii_finance_multilingual |
Gryphe/Opus-WritingPrompts |
51 | Gryphe/Opus-WritingPrompts |
GyeongjuLee/instruction-tuning_EMH-emotional-reactions |
20 | GyeongjuLee/instruction-tuning_EMH-emotional-reactions |
Imrankhanjoya/ecommerce-onionpose |
305 | Imrankhanjoya/ecommerce-onionpose |
income/scidocs-top-20-gen-queries |
889 | income/scidocs-top-20-gen-queries |
infinite-dataset-hub/OvarianUltrasoundFeatureExtraction |
3 | infinite-dataset-hub/OvarianUltrasoundFeatureExtraction |
introvoyz041/farmbot-arduino-firmware |
1 | introvoyz041/farmbot-arduino-firmware |
ismailtasdelen/ethereum-smart-contract-security-qa |
64 | ismailtasdelen/ethereum-smart-contract-security-qa |
jjmachan/NSFW-questions-inter-cleaned_df |
19 | jjmachan/NSFW-questions-inter-cleaned_df |
johndoe1100100101/nsfw_chat |
3 | johndoe1100100101/nsfw_chat |
Karmane/bitnomial-crypto-derivatives-liquidity-funding-sample |
248 | Karmane/bitnomial-crypto-derivatives-liquidity-funding-sample |
LeData/media-metadata-artists |
111 | LeData/media-metadata-artists |
lukealvess/forex-algotrading-m15-1000-columns |
9 | lukealvess/forex-algotrading-m15-1000-columns |
mandarjoshi/trivia_qa |
5 | mandarjoshi/trivia_qa |
mariozupan/bookkeeping-posting-schemes-2007-2023 |
51 | mariozupan/bookkeeping-posting-schemes-2007-2023 |
matzejo/godot-lora-dataset |
144 | matzejo/godot-lora-dataset |
MCES10-Software/SwiftUI-Code-Examples |
201 | MCES10-Software/SwiftUI-Code-Examples |
mercor/apex-accounting |
9 | mercor/apex-accounting |
mikegarts/oa_tell_a_joke_20000 |
114 | mikegarts/oa_tell_a_joke_20000 |
MindOSProducer/Mind-OS-33-Protocols |
25 | MindOSProducer/Mind-OS-33-Protocols |
MLBtrio/genz-slang-dataset |
54 | MLBtrio/genz-slang-dataset |
MuratcanKoylan/MarketingStructuralPrompts |
536 | MuratcanKoylan/MarketingStructuralPrompts |
MuratKomurcu/stm32-hal-dataset |
369 | MuratKomurcu/stm32-hal-dataset |
nebulatech/pharma-digital-marketing-dataset |
1 | nebulatech/pharma-digital-marketing-dataset |
neural-bridge/rag-dataset-1200 |
94 | neural-bridge/rag-dataset-1200 |
nibeditans/crros-customer-behavior-dataset |
600 | nibeditans/crros-customer-behavior-dataset |
nvidia/AudioSkills |
10 | nvidia/AudioSkills |
odemzkolo/flaws-cloudtrail-security-qa |
109 | odemzkolo/flaws-cloudtrail-security-qa |
pdfqa/pdfQA-Annotations |
83 | pdfqa/pdfQA-Annotations |
propfirmkey/prop-trading-qa-conversational-ai |
50 | propfirmkey/prop-trading-qa-conversational-ai |
RafaM97/marketing_social_media |
672 | RafaM97/marketing_social_media |
reddit-tools-HF/reddit-bestofredditorupdates-processed |
45 | reddit-tools-HF/reddit-bestofredditorupdates-processed |
referencesource/router-firmware-support-status |
260 | referencesource/router-firmware-support-status |
reknine69/QA-citations |
176 | reknine69/QA-citations |
reloading0101/threat-intelligence-dataset |
917 | reloading0101/threat-intelligence-dataset |
Richarddzz/NSFW-Chinese-Adult-Image-Caption |
7 | Richarddzz/NSFW-Chinese-Adult-Image-Caption |
rx1lora/StoryPlay_RolePlay-NPCv2 |
9 | rx1lora/StoryPlay_RolePlay-NPCv2 |
Salesforce/wikitext |
248 | Salesforce/wikitext |
samuelandaudreymedianetwork/partnerships-and-media-references |
45 | 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 |
sergiogpinto/memefact-templates |
94 | sergiogpinto/memefact-templates |
shahryars/vazirweb-persian-social-media-content |
9 | shahryars/vazirweb-persian-social-media-content |
SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed |
10 | SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed |
sidddd625/adaption-business-compliance-qa-in-devanagri-script |
8 | sidddd625/adaption-business-compliance-qa-in-devanagri-script |
socialmediaie/SocialMediaIE-MetaCorpus-v1 |
244 | socialmediaie/SocialMediaIE-MetaCorpus-v1 |
starknet-ai/cairo-security-audits |
133 | starknet-ai/cairo-security-audits |
stindardlogic/brainstorming-ideation-sft-100k |
99 | stindardlogic/brainstorming-ideation-sft-100k |
Svngoku/adaption-african-research-literature-current-events-qa |
34 | Svngoku/adaption-african-research-literature-current-events-qa |
tahamajs/bitcoin-investment-advisory-dataset |
10 | tahamajs/bitcoin-investment-advisory-dataset |
th1nhng0/vietnamese-legal-documents |
86 | th1nhng0/vietnamese-legal-documents |
thisnick/nsfw-video-still-caption-grid-only |
101 | thisnick/nsfw-video-still-caption-grid-only |
uncledecart/rtos |
10 | uncledecart/rtos |
Uris001/equity-research-dataset |
58 | Uris001/equity-research-dataset |
victorzarzu/interior-design-prompt-editing-dataset-test |
23 | victorzarzu/interior-design-prompt-editing-dataset-test |
vishnuOI/unity-dev-instructions |
142 | vishnuOI/unity-dev-instructions |
yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K |
12 | yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K |
Yoav-omer/startups |
1,168 | Yoav-omer/startups |
YUXCulturalAILab/senegal-maternal-health-qa |
7 | 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 | 3,175 |
| MegaScience/TextbookReasoning | 5,000 |
| allenai/ai2_arc | 450 |
| allenai/qasc | 450 |
| heyalexchoi/qwen3-math-concise-sft-v3 | 375 |
| 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.