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meta-llama
llama-models
Python2024–2025
meta-llama / llama-models

llama-models

Utilities intended for use with Llama models.

18Distinct people
19Mentions
0Explicit recommenders
7.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Utilities intended for use with Llama models.

GitHub

Where it is used

No documented product use was verified in the last source check.

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, 10:01:16 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 month19 dated mentions

Observed mentions: 2024-07-23 14:59:19 UTC to 2025-06-30 15:02:49 UTC.

02462024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 7 mentions; 2 submissions, 5 commentsJul 20242024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsDec 20242025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 2025

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
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC725
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC000
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC413
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC101
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC000
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC202
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC101
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC303
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC101

What Hacker News says

2 sources
>> Llama 3.3 70B and Qwen 2.5 72B are certainly comparable to GPT-4 > I'm skeptical; the llama 3.1 405B model is the only comparable model I've used, and it's significantly larger than the 70B models you can run locally. Every new Llama generation achieved to beat larger models of the previous generation with smaller ones. Check Kagi's LLM benchmark: https://help.kagi.com/kagi/ai/llm-benchmark.html Check the HN thread around the 3.3 70b release: https://news.ycombinator.com/item?id=42341388 And their own benchmark results in their model card: https://github.com/meta-llama/llama-models/blob/main/models%... Groq's post about it: https://groq.com/a-new-scaling-paradigm-metas-llama-3-3-70b-... Etc
In Phi-4: Microsoft's Newest Small Language Model Specializing in Complex Reasoning

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