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OpenBMB
MiniCPM-V
Python2024–2026
OpenBMB / MiniCPM-V

MiniCPM-V

See, hear, and interact on your local devices.

Explore on GitHubRead Hacker News discussions
12Distinct people
13Mentions
0Explicit recommenders
27.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

See, hear, and interact on your local devices.

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 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 month13 dated mentions

Observed mentions: 2024-05-29 02:21:09 UTC to 2026-06-22 10:58:01 UTC.

02462024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsMay 20242024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 6 mentions; 2 submissions, 4 comments2024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 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): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 2 mentions; 2 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): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMay 20252025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 2026

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
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC211
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC624
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC000
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC211
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC000
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
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 UTC000
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC220
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 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC000
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 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC000
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC000
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC000
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC000
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC101

What Hacker News says

13 sources
daemonologist·Aug 9, 2024
This package seems to use llama_cpp for local inference [1] so you can probably use anything supported by that [2]. However, I think it's just passing OCR output for correction - the language model doesn't actually see the original image. That said, there are some large language models you can run locally which accept image input. Phi-3-Vision [3], LLaVA [4], MiniCPM-V [5], etc. [1] - https://github.com/Dicklesworthstone/llm_aided_ocr/blob/main... [2] - https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#de... [3] - https://huggingface.co/microsoft/Phi-3-vision-128k-instruct [4] - https://github.com/haotian-liu/LLaVA [5] - https://github.com/OpenBMB/MiniCPM-V
In Show HN: LLM-aided OCR – Correcting Tesseract OCR errors with LLMs
SushiHippie·Jun 3, 2024
> Edit (June 2) > A big thank you to people who pointed out similarities to previous research in the comments. We realized that our architecture is very similar to OpenBMB’s “MiniCPM-Llama3-V 2.5: A GPT-4V Level Multimodal LLM on Your Phone,” who beat us to the implementation. We have taken down our original model in respect to the authors. > The link to the original author’s repository can be found here: https://github.com/OpenBMB/MiniCPM-V/tree/main?tab=readme-ov... > — Aksh Garg, Sid Sharma
In Llama3V is suspected to have been stolen from the MiniCPM-Llama3-v2.5 project
vikrantrathore·May 29, 2024
How does it compare with MiniCPM-Llama3-V 2.5 [0]? Based on what I see it seems much better than Llama 3-V on the benchmarks. Also it can directly be tried on Huggingface Spaces to check the performance [1]. It has the dataset, code and fine-tuning details with screenshots of it running on Xiaomi 14 pro. It has strong OCR performance and supports 30+ languages. [0] https://github.com/OpenBMB/MiniCPM-V [1] https://huggingface.co/spaces/openbmb/MiniCPM-Llama3-V-2_5
In Llama 3-V: Matching GPT4-V with a 100x smaller model and 500 dollars

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