
Ollama
Jan.ai
GPT4All
ChatGPT
AnythingLLM
llama.cpp
Claude AI
Discover, download, and run local LLMs

Ollama
Keploy.io
A state-of-the-art large language model for coding

Which is more popular?
Based on our record, LM Studio seems to be a lot more popular than Code Llama. While we know about 68 links to LM Studio, we've tracked only 3 mentions of Code Llama.
Website, pricing, platforms and company facts side by side.
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| Website | lmstudio.ai | ai.meta.com |
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What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


No analysis of LM Studio yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
LM Studio Tutorial: Run Large Language Models (LLM) on Your Laptop
More videos
Is CODE LLAMA Really Better Than GPT4 For Coding?!
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using LM Studio and Code Llama. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


However, if you're going to run the model on your local computer using llama.cpp or any of the UIs or apps running on top of llama.cpp, like Ollama, LM Studio, Jan, Unsloth Desktop, etc., the weights, architecture, tokenizer and metadata... - Source: dev.to / about 2 months ago
Did you happen to try bionic? https://lmstudio.ai/. - Source: Hacker News / 18 days ago
Local LLM Studio is a small private front end for a model server on your own machine. It speaks the OpenAI-compatible /v1 API, so the same install works with Ollama, LM Studio, and llama.cpp's llama-server. - Source: dev.to / 19 days ago
I've been following the state of things, but I'm not sure which ones are the best. There's Meta's CodeLlama[1], Mistral's Codestral[2], DeepSeek AI's DeepSeek-Coder-V2-Instruct[3], CodeGemma[4], Alibaba's CodeQwen[5], and Microsoft's... - Source: Hacker News / over 2 years ago
A fine-tuned Hungarian GPT-4 model would probably handle Hungarian questions much better than the base model. The same is true for programming languages. Let's say you want to build a coding assistant for Python programmers. Meta did... - Source: dev.to / over 2 years ago
In our own benchmark testing, Code Llama outperformed state-of-the-art publicly available LLMs on code tasks https://ai.meta.com/blog/code-llama-large-language-model-coding/. - Source: Hacker News / almost 3 years ago
When comparing LM Studio and Code Llama, you can also consider the following products.

The easiest way to run large language models locally
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Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs like OpenAI’s GPT-4 or Groq.
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Open Source API Test Case and Data Mock Generation using AI for Developers
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A powerful assistant chatbot that you can run on your laptop
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ChatGPT is a powerful, open-source language model.
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AnythingLLM is the ultimate enterprise-ready business intelligence tool made for your organization. With unlimited control for your LLM, multi-user support, internal and external facing tooling, and 100% privacy-focused.
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