muapi Logomuapi Logo
muapi Logomuapi Logo

Abliterated Model Large V2: AI Large Language Models

Call Abliterated Model Large V2 through one API. 1M-token context, streaming and pay-per-token pricing. Try free in the Muapi playground. Abliterated Model Large V2 is the second revision of the large abliterated reasoning model, with a 1M-token context window and tool-calling support.

Interactive model controls

Abliterated Model Large V2 is the second revision of the large abliterated reasoning model, with a 1M-token context window and tool-calling support.

📝

Overview

About this model

Abliterated Model Large V2 is the second revision of the large abliterated reasoning model, with a 1M-token context window and tool-calling support. Muapi exposes it through a single REST endpoint with async polling and Server-Sent Events streaming, so you can drop it into chat apps, agents and workflows without hosting GPUs. It is best suited to large-context reasoning and tool-using agents. Pricing is pay-per-token at $6/M input tokens and $10/M output tokens, with no subscription. See also Abliterated Model, Abliterated Model Large. Browse the full lineup on the Abliterated Model API page or the abliterated LLM API hub; related families: GLM Abliterated API and Gemma Abliterated API. 'Abliterated' and 'derestricted' describe modifications that reduce the model's refusal behavior. They do not guarantee unrestricted output, and you remain responsible for complying with applicable laws and the Muapi terms of use.

1Chat and assistants: Build conversational apps on Abliterated Model Large V2 for large-context reasoning and tool-using agents.
2Low-refusal experimentation: Compare refusal behavior against the base model in your own evaluations, within Muapi's usage policy.
3Agents and workflows: Call the model from Muapi workflow nodes and the [abliterated LLM API](/abliterated-llm-api) hub examples.
💰

Pricing & Value

Cost analysis

muapiapp$6/M input tokens and $10/M output tokens

Pay-per-token, billed on actual usage with a small minimum reserved up front.

Fal.aiNot available

Abliterated Model Large V2 is not offered as a hosted endpoint.

ReplicateNot available

Abliterated Model Large V2 is not offered as a hosted endpoint.

** Competitor pricing is estimated based on similar model architectures and usage tiers.

⚙️

Technical Details

Configuration schema

Promptstring

The user message or instruction for the model.

Default ValueSummarize the trade-offs between a monolith and microservices in five bullet points.
System Promptstring

Optional system-level instruction to guide model behavior.

Default ValueYou are a concise, direct assistant.
Max Tokensinteger

Optional maximum number of tokens to generate.

Default Value8192
📖

Implementation Guide

Developer documentation

How to Use Abliterated Model Large V2 API

  1. Get an API key: Create a key in your Muapi dashboard.

  2. Send a prompt: POST prompt (plus optional system_prompt and max_tokens, up to 32768) to /api/v1/abliterated-model-large-v2.

curl -X POST https://api.muapi.ai/api/v1/abliterated-model-large-v2 \
  -H "x-api-key: $MUAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Explain how attention works in transformers."}'
  1. Poll or stream: Poll GET /api/v1/predictions/{request_id}/result until status is completed, or stream tokens live from /api/v1/abliterated-model-large-v2/stream.
curl -X POST https://api.muapi.ai/api/v1/abliterated-model-large-v2/stream \
  -H "x-api-key: $MUAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Explain how attention works in transformers."}'
  1. Read the result: The generated text is returned in outputs. Usage is billed on actual token counts.
❓

Common Questions

Frequently asked

What is Abliterated Model Large V2?

Abliterated Model Large V2 is the second revision of the large abliterated reasoning model, with a 1M-token context window and tool-calling support.

What does abliterated mean?

Abliterated or derestricted models are modified to reduce refusal behavior. This lowers, but does not eliminate, refusals and does not guarantee unrestricted output.

How is Abliterated Model Large V2 priced?

Billing is per token: $6/M input tokens and $10/M output tokens. A small minimum is reserved when the request starts and reconciled to actual usage.

Does Abliterated Model Large V2 support streaming?

Yes. Stream tokens live from `/api/v1/abliterated-model-large-v2/stream` using Server-Sent Events, or poll the async endpoint.

What is the context window?

The context window is about 1M tokens. Prompt and output together must fit inside it; `max_tokens` is capped at 32768. The endpoint accepts text input only.

Is output guaranteed to be unrestricted?

No. Abliterated models are less likely to refuse, but behavior varies by prompt and quality can differ from the base model. Evaluate it for your use case and follow applicable laws.