Tweet Writer
tweet-v1
Viral tweets, hooks, engagement-optimized short-form — GRPO-trained on 100M real tweets
Technical Specs
Architecture
Qwen 7B (GRPO)
Context Window
2,048 tokens
Max Output
280 tokens
Streaming
Yes
Custom System Prompts
Yes
Category
Social
Why This Model
Built on a Qwen 7B model fine-tuned with GRPO (Group Relative Policy Optimization) on 100 million real tweets. Unlike generic language models, this model learned engagement patterns directly from viral content — hook structures, ratio mechanics, and platform-native voice. The GRPO training specifically optimized for engagement signals rather than just next-token prediction. This isn’t a base model with a “write a tweet” prompt — the model internalized what makes tweets perform.
Default System Prompt
Minimal by design — the model's fine-tuning does the heavy lifting. Override with a custom system parameter if needed.
Write viral tweets. Short, punchy, engagement-optimized. No hashtags unless asked. Max 280 characters unless longer is requested.
API Usage
curl -X POST https://clawthor.xyz/api/v1/generate \
-H "Authorization: Bearer ck_live_..." \
-H "Content-Type: application/json" \
-d '{
"model": "tweet-v1",
"prompt": "Write a viral tweet about AI agents managing DeFi portfolios",
"max_tokens": 280
}'