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huggingface
llm-ls
Rust2023–2023
huggingface / llm-ls

llm-ls

LSP server leveraging LLMs for code completion (and more?)

2Distinct people
3Mentions
0Explicit recommenders
886GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

LSP server leveraging LLMs for code completion (and more?)

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 8:03:49 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week3 dated mentions

Observed mentions: 2023-10-19 16:25:50 UTC to 2023-12-31 09:58:07 UTC. Weeks start Monday, UTC.

012023-10-16 00:00:00 UTC to 2023-10-23 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 162023-10-23 00:00:00 UTC to 2023-10-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-30 00:00:00 UTC to 2023-11-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-06 00:00:00 UTC to 2023-11-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-13 00:00:00 UTC to 2023-11-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-20 00:00:00 UTC to 2023-11-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsNov 202023-11-27 00:00:00 UTC to 2023-12-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-04 00:00:00 UTC to 2023-12-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-11 00:00:00 UTC to 2023-12-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-18 00:00:00 UTC to 2023-12-25 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-12-25 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsDec 25

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Oct 162023-10-16 00:00:00 UTC2023-10-23 00:00:00 UTC101
Oct 232023-10-23 00:00:00 UTC2023-10-30 00:00:00 UTC000
Oct 302023-10-30 00:00:00 UTC2023-11-06 00:00:00 UTC000
Nov 62023-11-06 00:00:00 UTC2023-11-13 00:00:00 UTC000
Nov 132023-11-13 00:00:00 UTC2023-11-20 00:00:00 UTC000
Nov 202023-11-20 00:00:00 UTC2023-11-27 00:00:00 UTC000
Nov 272023-11-27 00:00:00 UTC2023-12-04 00:00:00 UTC000
Dec 42023-12-04 00:00:00 UTC2023-12-11 00:00:00 UTC000
Dec 112023-12-11 00:00:00 UTC2023-12-18 00:00:00 UTC000
Dec 182023-12-18 00:00:00 UTC2023-12-25 00:00:00 UTC101
Dec 252023-12-25 00:00:00 UTC2024-01-01 00:00:00 UTC101

What Hacker News says

1 sources
Okay, I actually got local co-pilot set up. You will need these 4 things. 1) CodeLlama 13B or another FIM model https://huggingface.co/codellama/CodeLlama-13b-hf. You want "Fill in Middle" models because you're looking at context on both sides of your cursor. 2) HuggingFace llm-ls https://github.com/huggingface/llm-ls A large language mode Language Server (is this making sense yet) 3) HuggingFace inference framework. https://github.com/huggingface/text-generation-inference At least when I tested you couldn't use something like llama.cpp or exllama with the llm-ls, so you need to break out the heavy duty badboy HuggingFace inference server. Just config and run. Now config and run llm-ls. 4) Okay, I mean you need an editor. I just tried nvim, and this was a few weeks ago, so there may be better support. My expereicen was that is was full ho
Read the rest
nest to god copilot. The CodeLlama models are known to be quite good for its size. The FIM part is great. Boilerplace works so much easier with the surrounding context. I'd like to see more models released that can work this way.
In LocalPilot: Open-source GitHub Copilot on your MacBook

MAKE YOURSELF AT HOME

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