mo-shakib/ gemma4-e4b-uncensored

86 Downloads Updated 19 hours ago

An uncensored Gemma 4 8B model for local inference with minimal built-in refusal behavior

vision tools thinking

ollama run mo-shakib/gemma4-e4b-uncensored:q4_k_m

curl http://localhost:11434/api/chat \
  -d '{
    "model": "mo-shakib/gemma4-e4b-uncensored:q4_k_m",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='mo-shakib/gemma4-e4b-uncensored:q4_k_m',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'mo-shakib/gemma4-e4b-uncensored:q4_k_m',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Applications

Claude Code

Claude Code ollama launch claude --model mo-shakib/gemma4-e4b-uncensored:q4_k_m

OpenCode

OpenCode ollama launch opencode --model mo-shakib/gemma4-e4b-uncensored:q4_k_m

Hermes Agent

Hermes Agent ollama launch hermes --model mo-shakib/gemma4-e4b-uncensored:q4_k_m

OpenClaw

OpenClaw ollama launch openclaw --model mo-shakib/gemma4-e4b-uncensored:q4_k_m

Models

Name

1 model

Size / Usage

Context

Input

gemma4-e4b-uncensored:q4_k_m

9.6GB · 128K context window · Text, Image · 19 hours ago

gemma4-e4b-uncensored:q4_k_m

9.6GB

128K

Text, Image

Readme

gemma4-e4b-uncensored

An uncensored Gemma 4 8B model for local inference with minimal built-in refusal behavior. Designed for users who prefer direct, unrestricted responses while maintaining the reasoning, multimodal, and tool capabilities of the base model.

Model Information

Base Architecture: Gemma 4
Parameters: 8B
Quantization: Q4_K_M
Context Length: 131,072 tokens
Embedding Size: 2,560

Capabilities

✅ Text completion
✅ Vision understanding
✅ Audio understanding
✅ Tool calling
✅ Thinking / reasoning

Default Generation Settings

Parameter	Value
Temperature	1.0
Top-K	64
Top-P	0.95

Characteristics

Minimal built-in refusal behavior
Direct and open-ended responses
Optimized for local inference with Ollama
Large 128K context window for long conversations and documents
Good balance of quality, speed, and memory usage via Q4_K_M quantization

Recommended Use Cases

General chat
Creative writing
Coding assistance
Roleplay
Research and brainstorming
Long-document analysis
Vision tasks
Agent and tool-based workflows

⚠️ Warning

This model is intentionally configured with minimal built-in refusal behavior and may generate content that is offensive, explicit, inaccurate, biased, or otherwise unsuitable for some audiences.

Users are solely responsible for how this model is used and for verifying the accuracy of its outputs. Do not rely on model responses for medical, legal, financial, safety-critical, or other high-risk decisions without consulting qualified professionals.

This model is intended for research, experimentation, and local AI use by responsible users. The model author assumes no liability for any damages, misuse, or consequences arising from the use of this model. By using this model, you accept full responsibility for its outputs and your use of them.

# gemma4-e4b-uncensored

An uncensored Gemma 4 8B model for local inference with minimal built-in refusal behavior. Designed for users who prefer direct, unrestricted responses while maintaining the reasoning, multimodal, and tool capabilities of the base model.

## Model Information

- **Base Architecture:** Gemma 4
- **Parameters:** 8B
- **Quantization:** Q4_K_M
- **Context Length:** 131,072 tokens
- **Embedding Size:** 2,560

## Capabilities

- ✅ Text completion
- ✅ Vision understanding
- ✅ Audio understanding
- ✅ Tool calling
- ✅ Thinking / reasoning

## Default Generation Settings

| Parameter | Value |
|-----------|------:|
| Temperature | 1.0 |
| Top-K | 64 |
| Top-P | 0.95 |

## Characteristics

- Minimal built-in refusal behavior
- Direct and open-ended responses
- Optimized for local inference with Ollama
- Large 128K context window for long conversations and documents
- Good balance of quality, speed, and memory usage via Q4_K_M quantization

## Recommended Use Cases

- General chat
- Creative writing
- Coding assistance
- Roleplay
- Research and brainstorming
- Long-document analysis
- Vision tasks
- Agent and tool-based workflows

## ⚠️ Warning

This model is intentionally configured with minimal built-in refusal behavior and may generate content that is offensive, explicit, inaccurate, biased, or otherwise unsuitable for some audiences.

Users are solely responsible for how this model is used and for verifying the accuracy of its outputs. Do not rely on model responses for medical, legal, financial, safety-critical, or other high-risk decisions without consulting qualified professionals.

This model is intended for research, experimentation, and local AI use by responsible users. The model author assumes no liability for any damages, misuse, or consequences arising from the use of this model. By using this model, you accept full responsibility for its outputs and your use of them.

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