Instructions to use Neural-Hacker/KLM-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neural-Hacker/KLM-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Neural-Hacker/KLM-1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Neural-Hacker/KLM-1", dtype="auto") - PEFT
How to use Neural-Hacker/KLM-1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Neural-Hacker/KLM-1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Neural-Hacker/KLM-1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Neural-Hacker/KLM-1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Neural-Hacker/KLM-1
- SGLang
How to use Neural-Hacker/KLM-1 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Neural-Hacker/KLM-1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Neural-Hacker/KLM-1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Neural-Hacker/KLM-1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Neural-Hacker/KLM-1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Neural-Hacker/KLM-1 with Docker Model Runner:
docker model run hf.co/Neural-Hacker/KLM-1
KLM-1
KLM-1 is a bilingual agricultural language model supporting Hindi and English.
Base Model
Qwen3-0.6B
Evaluation
Benchmark: bharatgenai/BhashaBench-Krishi
| Language | Accuracy |
|---|---|
| English | 60.59% |
| Hindi | 48.89% |
Access
This repository is gated. Access requests are reviewed on a case-by-case basis.
License
CC BY-NC-SA 4.0
Disclaimer
The model is provided for research and evaluation purposes only. Commercial use is prohibited without appropriate authorization under the applicable license terms.