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language:
- en
license: apache-2.0
tags:
- moe
- casual-llm
- low-latency
- kitefish
- reasoning
- reasoning-l1
---
# Reasoning-L1-10B
**Reasoning-L1-10B** is a compact, efficient casual language model by KiteFishAI,
designed for low-latency inference on consumer hardware with strong reasoning
and agentic capabilities.
## Model Details
| Property | Value |
|---|---|
| Model | Reasoning-L1 |
| Parameters | ~11.4B |
| Architecture | Mixture-of-Experts (MoE) |
| VRAM required | ~8GB |
| Context length | 131K tokens |
| License | Apache 2.0 |
## Capabilities
- Configurable reasoning effort (low / medium / high)
- Full chain-of-thought support
- Function calling and structured outputs
- Web browsing and Python code execution (agentic)
- Multilingual support
## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model = AutoModelForCausalLM.from_pretrained(
"KiteFishAI/Reasoning-L1-10B",
torch_dtype=torch.float16,
device_map="auto",
trust_remote_code=True,
)
tokenizer = AutoTokenizer.from_pretrained(
"KiteFishAI/Reasoning-L1-10B",
trust_remote_code=True,
)
inputs = tokenizer("Hello! What can you do?", return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```
## Ollama
```bash
ollama pull KiteFishAI/Reasoning-L1-10B
ollama run KiteFishAI/Reasoning-L1-10B
```
## License
Apache 2.0 — free to use, modify, and distribute commercially.
---
*Built by [KiteFishAI](https://huggingface.co/KiteFishAI)*
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