prunaai/llada2.1-mini 🔢📝 → 📝
About
The fastest diffusion language model with up to ~1000+ tps
Example Output
Prompt:
"A train travels 120 km in 2 hours, then 180 km in 3 hours. What is the average speed for the entire trip? Show your reasoning step by step."
Output
To find the average speed for the entire trip, we use the formula:
$$
ext{Average Speed} = \frac{ ext{Total Distance}}{ ext{Total Time}}
$$
Step 1: Calculate the total distance traveled
The train travels:
- 120 km in the first part
- 180 km in the second part
$$
ext{Total Distance} = 120, ext{km} + 180, ext{km} = = 300, ext{km}
$$
Step 2: Calculate the total time taken
The train takes:
- 2 hours for the first part
- 3 hours for the second part
$$
ext{Total Time} = 2, ext{hours} + 3, ext{hours} = 5, ext{hours}
$$
Step 3: Calculate the average speed
$$
ext{Average Speed} = \frac{300, ext{km}}{5, ext{hours}} = 60, ext{km/h}
$$
✅ Final Answer:
$$
\boxed{60} ext{km/h}
$$
Performance Metrics
0.19s
Prediction Time
0.21s
Total Time
All Input Parameters
{
"prompt": "A train travels 120 km in 2 hours, then 180 km in 3 hours. What is the average speed for the entire trip? Show your reasoning step by step.",
"threshold": 0.85,
"max_tokens": 1024,
"block_length": 32,
"system_prompt": "You are a helpful assistant."
}
Input Parameters
- seed
- Random seed (unused for greedy decoding).
- prompt
- Prompt
- threshold
- dInfer confidence threshold (lower = faster, may reduce quality).
- max_tokens
- Maximum tokens to generate.
- block_length
- Block diffusion block size.
- system_prompt
- System prompt for chat models.
Output Schema
Output
Example Execution Logs
Generated 283 tokens in 0.19s (1488.0 tok/s, 33 fwd)
Version Details
- Version ID
4923bf99df96a2fe9c251a14edc88f06232fe331fccf0728882408c88115d0e6- Version Created
- March 19, 2026