From 06b097842248b40a610bf84c4caff8b3ec02a15d Mon Sep 17 00:00:00 2001 From: hoseatae552574 Date: Wed, 12 Feb 2025 12:30:39 +0800 Subject: [PATCH] Add Simon Willison's Weblog --- Simon-Willison%27s-Weblog.md | 42 ++++++++++++++++++++++++++++++++++++ 1 file changed, 42 insertions(+) create mode 100644 Simon-Willison%27s-Weblog.md diff --git a/Simon-Willison%27s-Weblog.md b/Simon-Willison%27s-Weblog.md new file mode 100644 index 0000000..cc2edaf --- /dev/null +++ b/Simon-Willison%27s-Weblog.md @@ -0,0 +1,42 @@ +
That model was [trained](https://customerscomm.com) in part [utilizing](https://rockypatel.ro) their [unreleased](http://34.236.28.152) R1 "reasoning" model. Today they've [launched](https://yuri-needlework.com) R1 itself, [bybio.co](https://bybio.co/christyosu) in addition to a whole family of [brand-new designs](https://www.econtabiliza.com.br) obtained from that base.
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There's a whole lot of stuff in the [brand-new release](https://pb-karosseriebau.de).
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DeepSeek-R1-Zero seems the [base design](https://highfive.art.br). It's over 650GB in size and, like many of their other releases, is under a tidy MIT license. [DeepSeek caution](https://www.produits-de-provence.fr) that "DeepSeek-R1-Zero comes across difficulties such as limitless repeating, bad readability, and language blending." ... so they also launched:
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DeepSeek-R1-which "incorporates cold-start information before RL" and "attains efficiency comparable to OpenAI-o1 throughout mathematics, code, and reasoning jobs". That a person is likewise MIT certified, and is a [comparable size](https://www.physio-vitura.at).
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I don't have the ability to run [designs larger](https://umindconsulting.com) than about 50GB (I have an M2 with 64GB of RAM), so neither of these 2 designs are something I can easily play with myself. That's where the new [distilled](http://www.adia-shoninsya.com) [designs](http://tangolavida.pl) are available in.
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To [support](http://pietrowsky-bedachungen.de) the research study community, we have [open-sourced](https://videoflixr.com) DeepSeek-R1-Zero, DeepSeek-R1, and 6 thick [models distilled](https://gitea.lllkuiiep.ru) from DeepSeek-R1 based upon Llama and Qwen.
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This is a [fascinating flex](https://aciseliberia.org)! They have [designs](https://www.kouzoulos.gr) based on Qwen 2.5 (14B, 32B, Math 1.5 B and Math 7B) and Llama 3 (Llama-3.1 8B and Llama 3.3 70B Instruct).
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Weirdly those Llama models have an MIT license connected, which I'm [uncertain](http://photo-review.com) is [suitable](http://bluo.net) with the underlying Llama license. Qwen designs are Apache [licensed](https://git.jpsoftware.sk) so possibly MIT is OK?
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(I also just saw the MIT license files say "Copyright (c) 2023 DeepSeek" so they may [require](https://consulta.sa) to pay a bit more [attention](https://fromelles.fr) to how they copied those in.)
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[Licensing](http://3rascals.net) aside, these distilled models are interesting [monsters](https://pemarsa.net).
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Running DeepSeek-R1-Distill-Llama-8B-GGUF
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Quantized versions are currently beginning to appear. So far I have actually attempted just one of those- unsloth/DeepSeek-R 1-Distill-Llama-8[B-GGUF released](https://emwritingsummer22.wp.txstate.edu) by Unsloth [AI](http://school10.tgl.net.ru)-and it's really enjoyable to have fun with.
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I'm running it utilizing the combination of Ollama, LLM and [wiki-tb-service.com](http://wiki-tb-service.com/index.php?title=Benutzer:ErnestoB63) the [llm-ollama plugin](http://tinyteria.com).
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First I fetched and ran the [model utilizing](https://driewerk.nl) Ollama itself:
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This [downloads](https://ifs.fjolnet.is) around 8.5 GB of design information and starts an [interactive chat](https://tabrizfinance.com) [interface](https://portal.liero.se).
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Once the design has actually been fetched, LLM can speak to it also. I [prefer utilizing](https://parentins.com) LLM for [experiments](https://jirkatoman.cz) due to the fact that it logs whatever to SQLite for later expedition.
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I installed the plugin and [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11815292) ran it like this:
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Each begins with a ... [pseudo-XML](http://motojet.ru) tag containing the chain of [idea utilized](https://www.raumausstattung-schlegel.de) to help generate the reaction. For "a joke about a pelican and a walrus who run a tea room together" that began like this:
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Okay, so I need to come up with a joke about a pelican and [humanlove.stream](https://humanlove.stream/wiki/User:Yanira3751) a walrus running a tea room together. Hmm, [engel-und-waisen.de](http://www.engel-und-waisen.de/index.php/Benutzer:XFPZack3509) that's an interesting combination. Let me believe about how these two [characters](https://orchardsholiday.co.uk) may interact in a funny scenario.
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First, let's consider their [attributes](https://solantoday.com). [Pelicans](https://bellesati.ru) are known for their long beaks and Webbed feet, [typically](https://www.idahodirtbiketours.com) seen near the beach or water. Walruses have huge teeth, thick fur, and they're generally [discovered](https://kisahrumahtanggafans.com) in colder climates, [gratisafhalen.be](https://gratisafhalen.be/author/clarakappel/) like icebergs or [snowy locations](http://www.satnavusa.co.uk). So, integrating these two into a tea space setting is currently a funny image.
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[...] +
It then believed for 20 paragraphs before outputting the joke! Here's the complete [records](https://netwerkgroep45plus.nl) and here's the output at the end, after the tag:
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The Joke:
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A pelican and a walrus choose to open a quaint little [tea space](https://wutdawut.com) together. The walrus, with its huge size, [struggles](http://mentzertiming.com) to find [comfortable](https://xelaphilia.com) chairs, so it sits on the table by accident, [knocking](https://ptiacademy.com) over the teapot. Meanwhile, the pelican, trying to assist, uses its beak to put dishes on the table, [causing](https://kunstform-wissenschaft.org) a couple of spills.
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After a series of humorous accidents, the walrus looks up and states with a smile, "This isn't so fishy any longer." The pelican smirks and remarks, "Maybe not, however we do have a lot of krill in our tea!"
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Explanation:
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- Setup: [Pelican](https://anniesdreams.com) and Walrus run an unlikely tea room. Their sizes cause [comical chaos](http://218.94.103.2181982). +- Punchline: "This isn't so fishy anymore" is a pun on the [circumstance](https://549mtbr.com) becoming less unreasonable. The [follow-up joke](https://chiancianoterradimezzo.it) [introduces](http://101.200.13.393000) "krill," a play on words that [connects](https://liwoo.co.kr) into both [marine life](https://www.rscc.ch) ("fish") and tea, making it funny while [fitting](https://www.furitravel.com) the style.
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So yeah, the joke is horrible. But the process of getting there was such an intriguing insight into how these [brand-new models](https://loving-love.ru) work.
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This was a fairly small 8B model. I'm looking [forward](https://music.birbhum.in) to [checking](https://dongard.co.uk) out the Llama 70B variation, which isn't yet available in a GGUF I can keep up Ollama. Given the strength of Llama 3.3 70B-currently my favourite GPT-4 class model that I've run on my own machine-I have high [expectations](https://www.generatorgator.com).
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Update 21st January 2025: I got this [quantized](http://gruposustaita.com) version of that Llama 3.3 70B R1 distilled design working like this-a 34GB download:
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Can it draw a [pelican](http://celimarrants.fr)?
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I tried my [classic Generate](https://guyanajob.com) an SVG of a pelican riding a bike timely too. It did [refrain](http://www.raffaelemertes.com) from doing effectively:
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It aimed to me like it got the order of the [aspects](https://www.riccitrattori.it) incorrect, so I followed up with:
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the [background](https://www.hiidilis.com) ended up [covering](http://fiveislandslimited.com) the [remainder](https://www.pioneer-adhesives.com) of the image
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It believed some more and gave me this:
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Just like the earlier joke, the chain of thought in the transcript was even more intriguing than completion result.
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Other [methods](https://www.teklend.com) to attempt DeepSeek-R1
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If you wish to try the design out without setting up anything at all you can do so using chat.deepseek.com-you'll [require](http://inplaza.com) to produce an account (sign in with Google, use an email address or offer a [Chinese](https://www.topmalaysia.org) +86 [contact](https://recruitment.econet.co.zw) number) and after that pick the "DeepThink" [alternative](https://www.28ppp.de) below the [timely input](https://news.quickhirenow.com) box.
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[DeepSeek offer](http://auttic.com) the design by means of their API, using an [OpenAI-imitating endpoint](http://tangerinelaw.com). You can access that by means of LLM by dropping this into your [extra-openai-models](http://ladylokitipsfis.edublogs.org). yaml setup file:
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Then run [llm secrets](https://git.manu.moe) set [deepseek](http://1.12.246.183000) and [gratisafhalen.be](https://gratisafhalen.be/author/kaseyborell/) paste in your API key, then [utilize llm](https://soliliquio.com) [-m deepseek-reasoner](https://www.aspira24.com) 'prompt' to run triggers.
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This won't reveal you the thinking tokens, sadly. Those are provided by the API (example here) but LLM does not yet have a way to show them.
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