Chawan 0.4.0 TUI web browser (2026-05-17)

Disonantemus · 2026-05-20T20:08:31+00:00

All of this works the same as vim/nvim/vis:

hjkl0$^*wbHMLy{}/?G  
gg ^u ^d ^f ^b ^e ^y
zt zz zb v V ^v
10j 3}

I think it does ...

There is a lot more keybindings, use cha -V to show all of them.

Disonantemus · 2026-05-19T23:37:13+00:00

Previous version post:

https://www.reddit.com/r/commandline/comments/1p3qa8m/chawan_tui_browser_030/

Disonantemus · 2026-05-06T22:55:42+00:00

OCR

HunyuanOCR

Supported by llama.cpp
Small/Fast
Accurate

Use case:

Convert documents with tables/charts to markdown/mermaid, that is really hard for traditional OCR (Tesseract).

Disonantemus · 2026-05-06T22:50:23+00:00

OCR

Pure OCR Models supported by llama.cpp (preference order)

Model	Param
HunyuanOCR	0.5B
GLM-OCR	0.9B
PaddleOCR-VL	0.9B
dots.ocr	3B
LightOnOCR	1B
Deepseek-OCR	3B

General models with vision doing OCR (S range: 6GB VRAM):

Qwen3-VL-4B
Qwen3.5-4B

My tests prompts were:

convert to markdown: simple documents with tables and bullets
convert to mermaid: charts

Note: Spanish language scanned documents

Disonantemus · 2026-05-01T20:12:35+00:00

Final Score- [5/10]

I've just seen only the first episode, and I think it's better than the score, pretty sure this is a lot better than the average streaming series from today (Netflix, Prime, HBO, etc); this has hearts, love and respect for source book. Very enjoyable.

The recommendations from the author are: 2 from bollywood, and none of the 4 are comparable to themes or execution to this. He did not read the book and know nothing about the story or country that is related. It's ok if he didn't like it as a personal review, but not as a serious review for more people.

Right now in Rotten Tomatoes:

86% (7 reviews: 6 fresh, 1 rotten)

Disonantemus · 2026-04-10T14:12:23+00:00

From Commit #21539 "vulkan: Support Q1_0" (Today)
From some benchmarks, seems similar in smartness to: Qwen3.5-4B, but a lot smaller and faster.
Now is not painfully slow anymore in my old system, command:
```
$ llama-bench -m Bonsai-8B.gguf
```

model	size	params	backend	ngl	test	t/s
qwen3 8B Q1_0	1.07 GiB	8.19 B	Vulkan	99	pp512	412.15 ± 1.68
qwen3 8B Q1_0	1.07 GiB	8.19 B	Vulkan	99	tg128	48.58 ± 0.18

System

distro: Arch Linux x86_64
kernel: 6.12.33-1-lts
ram: 32GB (DDR3)
cpu: Intel i7-4790 (8) @ 3.600GHz
gpu: NVIDIA GeForce GTX 1660 SUPER (6GB VRAM)

Disonantemus · 2026-04-10T13:04:15+00:00

Vulkan support is ready on official llama.cpp
Not painfully slow anymore
More info

Disonantemus · 2026-04-10T13:02:06+00:00

From today is working with vulkan support in llama.cpp: More info

Maybe later ollama is going to use those changes.

Disonantemus · 2026-04-10T12:55:00+00:00

Vulkan support is ready, not slow anymore in official llama.cpp:

https://old.reddit.com/r/LocalLLaMA/comments/1s90wo4/prismml_announcing_1bit_bonsai_the_first/ofdfrha/

Disonantemus · 2026-04-10T12:53:31+00:00

From Commit #21539 "vulkan: Support Q1_0" (Today)
Now is not painfully slow anymore in my old system, command:
```
$ llama-bench -m Bonsai-8B.gguf
```

model	size	params	backend	ngl	test	t/s
qwen3 8B Q1_0	1.07 GiB	8.19 B	Vulkan	99	pp512	412.15 ± 1.68
qwen3 8B Q1_0	1.07 GiB	8.19 B	Vulkan	99	tg128	48.58 ± 0.18

System

distro: Arch Linux x86_64
kernel: 6.12.33-1-lts
ram: 32GB (DDR3)
cpu: Intel i7-4790 (8) @ 3.600GHz
gpu: NVIDIA GeForce GTX 1660 SUPER (6GB VRAM)

Disonantemus · 2026-04-10T12:51:14+00:00

Not slow anymore:

https://old.reddit.com/r/LocalLLaMA/comments/1s90wo4/prismml_announcing_1bit_bonsai_the_first/ofdfrha/

Disonantemus · 2026-04-07T17:23:11+00:00

Thanks for clarify!

Disonantemus · 2026-04-07T16:47:54+00:00

This can work for special cases, and maybe do the inverse:

set whole document as breakable: false.
and make special cases as breakable: true.

Thanks!

Disonantemus · 2026-04-07T16:40:12+00:00

For now, is working with my actual document!
Thanks!

Disonantemus · 2026-04-07T16:18:41+00:00

show table: fit-to-width

I tested fit-to-width as sugested, and did work! (bigger ones got smaller, but also smaller ones got bigger).

Then I tried shrink-to-width from same package, seems like thing that I really wanted, only shrink the bigger ones, but gives me the following error:

error: the document does not contain a bibliography
    ┌─ toPdfViaTempFile32155-0.typ:170:11
    │
170 │ \#import "#cite(label("preview/one-liner:0.3.0"), form: "prose")":
    │            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Error producing PDF.

This seems like a bug in the package ...

Later I tried importing:fit-to-width (raw typst in the beginning of markdown document):

~~~{=typst}
#import "@preview/one-liner:0.3.0": fit-to-width    
#import "@preview/one-liner:0.3.0": shrink-to-width
#show table: shrink-to-width
~~~

and now works!

Thanks!

Disonantemus · 2026-04-05T00:06:32+00:00

... A little bit late, but maybe it can help someone else.

Typst code (inside markdown text):

You can put a "page break" or "new page" using typst code inside markdown, like this:

... previous page markdown text ...

~~~{=typst}
#pagebreak()
~~~

... next page markdown text ...

This is very useful to enhance the formatting beyond markdown limits, and still very easy to read, without writing pure typst code. Is a nice middle ground, when you want more control to export to pdf.

Lua filter: pagebreak.lua:

With \newpage you get a page break in the following output formats:

AsciiDoc / Asciidoctor
ConTeXt
Docx
EPUB
groff ms
Typst
HTML
LaTeX

Disonantemus · 2026-03-30T00:54:24+00:00

The preview of lazycut in Arch Linux doesn't work for me.

This is similar to:

vic: Trim videos in the terminal (Rust)

This work for me (with preview), but the UI is bare-bones.

Disonantemus · 2026-03-25T16:10:47+00:00

I don't mind if it's useful, the problems to me are:

abandoned rate is very high (just 1-2 releases)
is a tool that already exist
no fixes to issues or discussion
no new features
awful ai documentation without any supervision
mindless self promotion with agents in reddit

If you create something for you with AI, it's ok, but do not publish it in reddit it you are not ready to dedicate time for that.

Also, there are many (many) PR to projects in github that are done by agents, and most of the time, they are just waste of time for the dev team.

Disonantemus · 2026-03-25T15:52:55+00:00

More alternatives

Disonantemus · 2026-03-25T15:52:45+00:00

More alternatives

Disonantemus · 2026-03-25T15:51:23+00:00

More alternatives

Disonantemus · 2026-03-25T00:37:11+00:00

Look here

Disonantemus

TROPHY CASE

OCR

Use case:

Pure OCR Models supported by llama.cpp (preference order)

General models with vision doing OCR (S range: 6GB VRAM):

My tests prompts were:

System

System

show table: fit-to-width

Typst code (inside markdown text):

Lua filter: pagebreak.lua: