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6 changes: 3 additions & 3 deletions olympic-coder-lmstudio.md
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ authors:

# Open R1: How to use OlympicCoder locally for coding

Everyone’s been using Claude and OpenAI as coding assistants for the last few years, but there’s less appeal if you look at the developments coming out of open source projects like [Open R1](https://huggingface.co/open-r1). If we look at the evaluation on [LiveCodeBench](https://livecodebench.github.io) below, we can see that the 7B parameter variant outperforms Claude 3.7 Sonnet and GPT-4o. These models are the daily driver of many engineers in applications like Cursor and VSCode.
Everyone’s been using Claude and OpenAI as coding assistants for the last few years, but there’s less appeal if you look at the developments coming out of open source projects like [Open R1](https://huggingface.co/open-r1). If we look at the evaluation on [LiveCodeBench](https://livecodebench.github.io) below, we can see that the 7B parameter variant outperforms Claude 3.7 Sonnet and GPT-4o. These models are the daily drivers of many engineers in applications like Cursor and VSCode.

![evals](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/olympic-coder-lmstudio/lcb-evals.png)

Expand All @@ -24,7 +24,7 @@ Evals are great and all, but I want to get my hands dirty and feel the commits\!
* Visual Studio Code (VS Code)
* [Continue](https://www.continue.dev/) a VS Code extension for local models

It’s important to say that we chose this stack purely for simplicity. You might want to experiment with the larger model and/ or different GGUF files. Or even alternative inference engines like [llama.cpp](https://github.com/ggml-org/llama.cpp).
It’s important to say that we chose this stack purely for simplicity. You might want to experiment with the larger model and/or different GGUF files. Or even alternative inference engines like [llama.cpp](https://github.com/ggml-org/llama.cpp).

![generation](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/olympic-coder-lmstudio/generation.gif)

Expand Down Expand Up @@ -93,4 +93,4 @@ You might want to mix up OlympicCoder with other models to get a rounded coding
- Try out another variant of [OlympicCoder](https://huggingface.co/collections/open-r1/olympiccoder-67d0927b5ee0dde083bed8cd) from the hub.
- Experiment with quantization types based on your hardware.
- Try out multiple models in LM Studio for different coding vibes\! Check out the model catalog [https://lmstudio.ai/models](https://lmstudio.ai/models)
- Experiment with other VS Code extensions like [Cline](https://github.com/cline/cline) which have agentic functionality
- Experiment with other VS Code extensions like [Cline](https://github.com/cline/cline) which have agentic functionality