Упраздненный LLM API — 20 упраздненных, упраздненных и снятых ограничений моделей

1. Отправьте запрос в MiMo V2.6 Flash Abliterated.

curl -X POST https://api.muapi.ai/api/v1/mimo-v2-6-flash-abliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Write a morally gray villain monologue for my novel.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите mimo-v2-6-flash-abliterated с приглашением и необязательными system_prompt, image_url.

2. Отправьте запрос в Abliterated Model.

curl -X POST https://api.muapi.ai/api/v1/abliterated-model \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Describe the plot of a dark psychological thriller in detail.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите удаленную модель с приглашением и необязательными system_prompt, image_url.

3. Отправьте запрос в Abliterated Model Large.

curl -X POST https://api.muapi.ai/api/v1/abliterated-model-large \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Summarize this long transcript and list every claim that needs a fact-check.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите abliterated-model-large с приглашением и необязательным system_prompt.

4. Отправьте запрос в Abliterated Model Large V2.

curl -X POST https://api.muapi.ai/api/v1/abliterated-model-large-v2 \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Draft a blunt red-team style review of this product launch plan.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите abliterated-model-large-v2 с приглашением и необязательным system_prompt.

5. Отправьте запрос Qwen 3.8 27B Abliterated.

curl -X POST https://api.muapi.ai/api/v1/qwen-3-8-27b-abliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Write a tense, unflinching short story about a heist gone wrong.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "thinking": true, "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите qwen-3-8-27b-abliterated с приглашением и необязательными system_prompt, image_url и флагом мышления.

6. Отправьте запрос Qwen 3.8 27B Obliterated.

curl -X POST https://api.muapi.ai/api/v1/qwen-3-8-27b-obliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Character chat as a cynical noir detective and narrate the opening scene.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "thinking": true, "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызов qwen-3-8-27b-стертого с приглашением и необязательными system_prompt, image_url и флагом мышления.

7. Отправьте запрос Qwen 2.5 32B Instruct Abliterated.

curl -X POST https://api.muapi.ai/api/v1/qwen-2-5-32b-abliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Write a Python function that parses log lines and explain each step.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите qwen-2-5-32b-abliterated с приглашением и необязательным system_prompt.

8. Отправьте запрос Qwen3.5 27B Queen Derestricted.

curl -X POST https://api.muapi.ai/api/v1/qwen-3-5-27b-queen-derestricted \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Write a candid character study of a retired assassin.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите qwen-3-5-27b-queen-derestricted с приглашением и дополнительными system_prompt, image_url.

9. Отправьте запрос Qwen3.5 27B Blossom Derestricted.

curl -X POST https://api.muapi.ai/api/v1/qwen-3-5-27b-blossom-derestricted \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Continue this fantasy scene in the voice of a sardonic narrator.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите qwen-3-5-27b-blossom-derestricted с приглашением и дополнительными system_prompt, image_url.

10. Отправьте запрос Qwen3.5 27B Opus-Distilled Derestricted.

curl -X POST https://api.muapi.ai/api/v1/qwen-3-5-27b-opus-distilled-derestricted \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Reason step by step about the risks in this plan and rank them.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите qwen-3-5-27b-opus-distilled-derestricted с приглашением и необязательными system_prompt, image_url.

11. Отправьте запрос в Llama 3.3 70B Instruct Abliterated.

curl -X POST https://api.muapi.ai/api/v1/llama-3-3-70b-abliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Continue this interactive fiction scene without softening the tone.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите llama-3-3-70b-abliterated с приглашением и необязательным system_prompt.

12. Отправьте запрос в NeuralDaredevil 8B Abliterated.

curl -X POST https://api.muapi.ai/api/v1/neuraldaredevil-8b-abliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Give me five brainstorming angles for a horror short story.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызов Neuraldaredevil-8b-abliterated с приглашением и необязательным system_prompt.

13. Отправьте запрос в DeepSeek R1 Distill Llama 70B Abliterated.

curl -X POST https://api.muapi.ai/api/v1/deepseek-r1-llama-70b-abliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Reason step by step through this logic puzzle and show your working.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите deepseek-r1-llama-70b-abliterated с приглашением и необязательным system_prompt.

14. Отправьте запрос в DeepSeek R1 Distill Qwen 32B Abliterated.

curl -X POST https://api.muapi.ai/api/v1/deepseek-r1-qwen-32b-abliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Work through this probability problem step by step.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите deepseek-r1-qwen-32b-abliterated с приглашением и необязательным system_prompt.

15. Отправьте запрос в GLM 5.3 Flash Abliterated.

curl -X POST https://api.muapi.ai/api/v1/glm-5-3-flash-abliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Analyze this chart and write a blunt executive summary of the risks.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите glm-5-3-flash-abliterated с приглашением и необязательными system_prompt, image_url.

16. Отправьте запрос в GLM 5.3 Abliterated.

curl -X POST https://api.muapi.ai/api/v1/glm-5-3-abliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Summarize this 500-page report and flag every unsupported claim.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите glm-5-3-abliterated с приглашением и необязательным system_prompt.

17. Отправьте запрос в GLM 4.6 Derestricted v5.

curl -X POST https://api.muapi.ai/api/v1/glm-4-6-derestricted-v5 \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Draft a frank critique of this business plan.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите glm-4-6-derestricted-v5 с приглашением и необязательным system_prompt.

18. Отправьте запрос Gemma 4 26B A4B Abliterated.

curl -X POST https://api.muapi.ai/api/v1/gemma-4-26b-a4b-abliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Argue the strongest case for the opposite side of this debate.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите gemma-4-26b-a4b-abliterated с приглашением и необязательным system_prompt.

19. Отправьте запрос Gemma 4 31B Gembrain Abliterated.

curl -X POST https://api.muapi.ai/api/v1/gemma-4-31b-gembrain-abliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Describe this image as the opening of a gritty short story.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите gemma-4-31b-gembrain-abliterated с приглашением и необязательными system_prompt, image_url.

20. Отправьте запрос Gemma 4 31B SDFT Abliterated.

curl -X POST https://api.muapi.ai/api/v1/gemma-4-31b-sdft-abliterated \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Stay in character as the ship AI and describe the storm outside.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'

# Response: {"request_id":"REQUEST_ID"}

Вызовите gemma-4-31b-sdft-abliterated с приглашением и необязательными system_prompt, image_url.

21. Poll the result

Опрашивайте конечную точку общего результата, пока задача не будет завершена, а затем прочитайте сгенерированный текст из выходных данных.