- Chat
- Vision
- Video
GLM 5.3 Flash Abliterated
A derivative of GLM 5.3 Flash with modified refusal behavior for general-purpose inference.
GLM model family
About this model
GLM 5.3 Flash Abliterated is a modified derivative of GLM 5.3 Flash. Abliterated describes a derivative with modified refusal behavior. Responses can still be refused or inaccurate. Arnict's acceptable-use rules apply to every model.
Acceptable use applies equally to modified and original models. The label does not mean unrestricted use or guaranteed responses.
- Parameters
- 320B18B active per token
- Native context
- 1,048,5761,048,576 tokens served by Arnict.
- Maximum output
- 131,072Hard limit
Capabilities
- Chat completionsUse this model with the chat-completions API when it is marked Available.
- Native input modalitiesText, Image, Video input are listed in the published catalog metadata.
- Long-context input1,048,576 tokens · 1,048,576 tokens served by Arnict.
- Defined output limit131,072 tokens
Published limits
Published model-card facts, kept separate from live availability.
| Metric | Published value | Note |
|---|---|---|
| Arnict API context limit | 1,048,576 tokens | Configured serving limit; the native model specification is listed separately |
| Arnict API output limit | 131,072 tokens | Maximum output accepted by the Arnict API for this model |
| Parameters | 320B total / 18B active | Upstream model card |
| Native model context | 1,048,576 tokens | 1,048,576 tokens served by Arnict. |
| Maximum output | 131,072 tokens hard limit | Upstream model card |
| Weights / activations | NVFP4 | Published format |
- Abliterated derivative with modified refusal behavior
- Native multimodal model for text, image, and video
- 288 routed experts; 8 selected per token; 1 shared expert
- 45 layers
- Manifold-Constrained Hyper-Connections (mHC)
- Thinking modes: off, low, high, max
Use zai/glm-5.3-flash-uncensored with an OpenAI-compatible client now.
Call it with the OpenAI SDK
Use the complete model ID with the OpenAI SDK. Set your Arnict API key as an environment variable before running the example.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.arnict.com/v1",
apiKey: process.env.ARNICT_API_KEY,
});
const completion = await client.chat.completions.create({
model: "zai/glm-5.3-flash-uncensored",
messages: [
{ role: "user", content: "Explain continuous batching in one paragraph." },
],
});
console.log(completion.choices[0].message.content);Related models
GLM
GLM 5.3 Abliterated
A derivative of GLM 5.3 with modified refusal behavior for general-purpose inference.
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