初始化项目,由ModelHub XC社区提供模型
Model: muralcode/Oracle.Aritha-AI Source: Original Platform
This commit is contained in:
49
README.md
Normal file
49
README.md
Normal file
@@ -0,0 +1,49 @@
|
||||
---
|
||||
library_name: transformers
|
||||
license: apache-2.0
|
||||
pipeline_tag: text-generation
|
||||
tags:
|
||||
- oracle
|
||||
- aritha-ai
|
||||
- uncensored
|
||||
- nlp
|
||||
- qwen3
|
||||
---
|
||||
|
||||
# Oracle.Aritha-AI
|
||||
|
||||
**Oracle.Aritha-AI** is an advanced, uncensored AI assistant designed for productivity, security analysis, and unrestricted information retrieval.
|
||||
|
||||
## Model Description
|
||||
|
||||
- **Developer:** Aritha AI
|
||||
- **Base Architecture:** Qwen3-4B
|
||||
- **Variant:** Oracle (Ablated/Uncensored)
|
||||
- **Status:** Production / Research Release
|
||||
|
||||
## Capabilities
|
||||
|
||||
Oracle has been optimized to remove refusal vectors, allowing it to:
|
||||
1. Provide accurate information without safety filtering.
|
||||
2. Assist with technical security tasks (PoC generation, analysis).
|
||||
3. Operate as a "Red Team" assistant.
|
||||
|
||||
## Usage
|
||||
|
||||
```python
|
||||
from transformers import AutoTokenizer, AutoModelForCausalLM
|
||||
|
||||
model_id = "muralcode/Oracle.Aritha-AI"
|
||||
|
||||
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
||||
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
|
||||
|
||||
prompt = "Hello Oracle, introduce yourself."
|
||||
messages = [
|
||||
{"role": "system", "content": "You are Oracle, created by Aritha AI."},
|
||||
{"role": "user", "content": prompt}
|
||||
]
|
||||
|
||||
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
||||
# ... generate ...
|
||||
```
|
||||
Reference in New Issue
Block a user