README.md

metadata

title: Gemma-4 E2B Uncensored API
emoji: 🔓
colorFrom: blue
colorTo: blue
sdk: docker
app_port: 8000
pinned: false
tags:
  - ml-intern

OpenAI-compatible API for HauhauCS/Gemma-4-E2B-Uncensored-HauhauCS-Aggressive

Model Details

Spec	Value
Model	Gemma-4 E2B Uncensored (HauhauCS Aggressive)
Quantization	Q8_K_P
Context	131072 tokens
Concurrent	1 request
Reasoning	Enabled by default (--reasoning on --reasoning-format deepseek)

Endpoints

• POST /v1/chat/completions — Chat completions (streaming recommended)
• POST /v1/completions — Text completions
• GET /v1/models — List models
• GET /health — Health check
• GET /api-info — JSON status

Usage

import openai

client = openai.OpenAI(
    base_url="https://nanobotaiagent-gemma-4-e2b-uncensored-api.hf.space/v1",
    api_key="no-key",
    timeout=300.0,
)

response = client.chat.completions.create(
    model="gemma",
    messages=[{"role": "user", "content": "Hello!"}],
    max_tokens=2048,
    stream=True,
)
for chunk in response:
    delta = chunk.choices[0].delta
    rc = getattr(delta, 'reasoning_content', None) or (delta.model_extra or {}).get('reasoning_content')
    if rc:
        print(f"[think] {rc}", end="")
    if delta.content:
        print(delta.content, end="")

Reasoning

Reasoning is enabled by default. Gemma-4 uses <|channel>thought...<channel|> blocks which llama.cpp extracts into the reasoning_content field (DeepSeek-compatible).

To disable per-request:

extra_body={"chat_template_kwargs": {"enable_thinking": False}}