| | --- |
| | license: apache-2.0 |
| | datasets: |
| | - continuedev/instinct-data |
| | base_model: |
| | - Qwen/Qwen2.5-Coder-7B |
| | pipeline_tag: text-generation |
| | library_name: transformers |
| | --- |
| | |
| | <img src="https://cdn-uploads.huggingface.co/production/uploads/686c5c546abedce0f7ac048a/B7PeaDQCDnlgT3Tmf7fsb.png" width=250> |
| |
|
| | # Instinct, the State-of-the-Art Open Next Edit Model |
| |
|
| | This repo contains the model weights for [Continue](https://continue.dev)'s state-of-the-art open Next Edit model, **Instinct**. Robustly fine-tuned from Qwen2.5-Coder-7B on our [dataset of real-world code edits](https://huggingface.co/datasets/continuedev/instinct-data), Instinct intelligently predicts your next move to keep you in flow. |
| |
|
| | ## Serving the model |
| |
|
| | **Ollama**: We've released a [Q4_K_M GGUF quantization of Instinct](https://huggingface.co/continuedev/instinct-GGUF) for efficient local inference. Try it with [Continue's Ollama integration](https://docs.continue.dev/guides/ollama-guide), or just run `ollama run nate/instinct`. |
| |
|
| | You can also serve the model using either of the below options, then [connect it with Continue](https://docs.continue.dev/guides/how-to-self-host-a-model). |
| |
|
| | **SGLang**: `python3 -m sglang.launch_server --model-path continuedev/instinct --load-format safetensors` |
| | <br>**vLLM**: `vllm serve continuedev/instinct --served-model-name instinct --load-format safetensors` |
| |
|
| | ## Learn more |
| |
|
| | For more information on the work behind Instinct, please refer to our [blog](https://blog.continue.dev/instinct/). |
