KlaarGPU TEE

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

Model-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.

Begin met bouwen Documentatie

input

$0.30/M

output

$1.50/M

context

131K

aangemaakt

23 mei 2026

Ondersteunde API-vorm

input

text · image

output

text

tools

Ondersteund

JSON-modus

Ondersteund

Verificatie

handtekening

respons-ID

attestering

GPU TEE

provider

Phala

Provider

Phala

GPU TEE

input

$0.30/M

output

$1.50/M

context

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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