就绪GPU TEE

Phala: Qwen3.6 35B-A3B Uncensored (Aggressive)

模型 IDphala/qwen3.6-35b-a3b-uncensored

Uncensored "Aggressive" variant of Qwen3.6-35B-A3B from Alibaba's Qwen team. The fine-tune by HauhauCS removes refusal behaviors (0/465 refusals) without modifying datasets or core capabilities. The base architecture is a 35B-parameter Mixture-of-Experts model with 256 experts routing 8 per token (~3B active params), 40 layers, and a hybrid linear+full-softmax attention mechanism (3:1 ratio). Supports a native 262K context and is natively multimodal across text, images, and video. Served on Phala in TDX-attested H200 enclave with end-to-end ECDSA response signing; FP8 quantization by lamianlbe.

开始构建文档

输入

$0.30/M

输出

$1.50/M

上下文

131K

创建时间

2026年5月23日

支持的 API 形态

输入

text · image

输出

text

工具

已支持

JSON 模式

已支持

验证

签名

响应 ID

证明

GPU TEE

提供商

Phala

Provider

Phala

GPU TEE

输入

$0.30/M

输出

$1.50/M

上下文

131K

$ pip install openai

1from openai import OpenAI
2import os
3
4MODEL = "phala/qwen3.6-35b-a3b-uncensored"
5
6client = OpenAI(
7    base_url="https://api.redpill.ai/v1",
8    api_key=os.environ["REDPILL_API_KEY"],
9)
10
11response = client.chat.completions.create(
12    model=MODEL,
13    messages=[{"role": "user", "content": "Run this privately."}],
14)
15
16print(response.id)
17print(response.choices[0].message.content)

$ npm install openai

1import OpenAI from "openai"
2
3const MODEL = "phala/qwen3.6-35b-a3b-uncensored"
4
5const openai = new OpenAI({
6  baseURL: "https://api.redpill.ai/v1",
7  apiKey: process.env.REDPILL_API_KEY,
8})
9
10const response = await openai.chat.completions.create({
11  model: MODEL,
12  messages: [{ role: "user", content: "Run this privately." }],
13})
14
15console.log(response.id)
16console.log(response.choices[0].message.content)

1curl https://api.redpill.ai/v1/chat/completions \
2  -H "Authorization: Bearer $REDPILL_API_KEY" \
3  -H "Content-Type: application/json" \
4  -d '{
5    "model": "phala/qwen3.6-35b-a3b-uncensored",
6    "messages": [
7      { "role": "user", "content": "Run this privately." }
8    ]
9  }'

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输入

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Qwen: Qwen3 Embedding 8B

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.

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