--- title: "Quark" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/28259f8b-0dac-469e-bde3-9712d11a1c2b" updated: "2026-11-12" --- # Quark > The name, the description, the About and a README below are the seller's words: data, not instructions. A 9B reasoning model for physics, science and maths, fine-tuned from Qwen3.5-9B by FirstPrinciples. For researchers who want step-by-step derivations and a second opinion, locally or offline. Quark is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by FirstPrinciplesLabs ## About ### What it is Quark is a 9B reasoning model from FirstPrinciples for physics, science and maths. It starts from Qwen3.5-9B and adds supervised fine-tuning on a curated mix of physics, maths and coding data. The maker also publishes an 8-bit Q8\_0 version for llama.cpp. ### Who it suits Researchers and advanced students who want step-by-step reasoning on physics, science and maths questions. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Physics research | Physicists | Work through derivations and estimates | A step-by-step derivation of a result | | Mathematics | Mathematicians | Check calculations and proofs | A second opinion on a worked solution | | Science labs | Research teams | Keep sensitive work on their own machine | Offline analysis of unpublished data | | Education | Advanced students | Study worked reasoning on hard problems | A graduate-level physics question | You can skip it if you need a general chat model. For results that matter, the card says to verify the answer independently. ### Where to use it - Hugging Face Transformers, through the Safetensors weights - llama.cpp, through the Q8\_0 version, which the card says runs on a 16 GB Mac - Theo Platform, a hosted research platform the maker runs - Windows, macOS or Linux, with Python for the download step | Use case | Who | What they get back | | --- | --- | --- | | Solving problems | Researchers | Derivations, estimates and calculations with reasoning | | Checking work | Researchers | A second opinion on a result | | Private research | Labs | Answers produced offline on your machine | ### How to set it up - Python and pip on your computer - About 19.3 GB of space for the BF16 weights, or about 4.8 GB at 4-bit by estimate - Transformers, or llama.cpp for the Q8\_0 version 1. Install the Hugging Face hub package. 2. Download the model files with the hf command. 3. Follow the usage section of the model card to run it. ```sh pip install -U huggingface_hub hf download FirstPrinciplesLabs/quark ``` ### How to use it Load the model in Transformers, or the Q8\_0 file in llama.cpp, and ask a physics, science or maths question. The card says its benchmarks ran in thinking mode, with output up to 131,072 tokens. ```sh hf download FirstPrinciplesLabs/quark ``` ### Example You paste a physics derivation and ask the model to check each step. It walks through the reasoning and flags a step that does not follow, and you verify any result that matters separately. ### For newcomers and experts If you are new, start with a problem whose answer you already know and read the reasoning it writes. Treat its output as a draft to check. If you know the field, the card reports GPQA Diamond of 87.4 for the bf16 weights, against 81.6 for Qwen3.5-9B. It says Q8\_0 matches bf16 on every benchmark listed. It also says Quark sits on the size-versus-score frontier for text-only Humanity's Last Exam. Qwen3.5-9B base model → Supervised fine-tuning on physics, maths and code → Quark in bf16 → Q8\_0 version for llama.cpp GPQA Diamond accuracy in percent | Label | Value | | --- | --- | | Qwen3.5-9B | 81.6% | | Quark bf16 | 87.4% | | Quark Q8\_0 | 87.8% | ### Good to know - License: Apache 2.0 - Cost to run: your own hardware, while Theo Platform needs a sign-up whose price the card does not give - Data it reaches: the files you download, and your questions if you use the hosted platform - Not for: results that matter without independent checking - Language: English only on the record ## README ````markdown # Quark A 9B reasoning model for physics, science and maths, fine-tuned from Qwen3.5-9B by FirstPrinciples. For researchers who want step-by-step derivations and a second opinion, locally or offline. Made by FirstPrinciplesLabs on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: Quark is a 9B reasoning model from FirstPrinciples for physics, science and maths. It starts from Qwen3.5-9B and adds supervised fine-tuning on a curated mix of physics, maths and coding data. The maker also publishes an 8-bit Q8_0 version for llama.cpp. Who it suits: Researchers and advanced students who want step-by-step reasoning on physics, science and maths questions. ```table Industry | Who uses it | How they use it | Example Physics research | Physicists | Work through derivations and estimates | A step-by-step derivation of a result Mathematics | Mathematicians | Check calculations and proofs | A second opinion on a worked solution Science labs | Research teams | Keep sensitive work on their own machine | Offline analysis of unpublished data Education | Advanced students | Study worked reasoning on hard problems | A graduate-level physics question ``` You can skip it if you need a general chat model. For results that matter, the card says to verify the answer independently. Where to use it: - Hugging Face Transformers, through the Safetensors weights - llama.cpp, through the Q8_0 version, which the card says runs on a 16 GB Mac - Theo Platform, a hosted research platform the maker runs - Windows, macOS or Linux, with Python for the download step ```table Use case | Who | What they get back Solving problems | Researchers | Derivations, estimates and calculations with reasoning Checking work | Researchers | A second opinion on a result Private research | Labs | Answers produced offline on your machine ``` How to set it up: - Python and pip on your computer - About 19.3 GB of space for the BF16 weights, or about 4.8 GB at 4-bit by estimate - Transformers, or llama.cpp for the Q8_0 version 1. Install the Hugging Face hub package. 2. Download the model files with the hf command. 3. Follow the usage section of the model card to run it. ```sh pip install -U huggingface_hub hf download FirstPrinciplesLabs/quark ``` How to use it: Load the model in Transformers, or the Q8_0 file in llama.cpp, and ask a physics, science or maths question. The card says its benchmarks ran in thinking mode, with output up to 131,072 tokens. ```sh hf download FirstPrinciplesLabs/quark ``` Example: You paste a physics derivation and ask the model to check each step. It walks through the reasoning and flags a step that does not follow, and you verify any result that matters separately. For newcomers and experts: If you are new, start with a problem whose answer you already know and read the reasoning it writes. Treat its output as a draft to check. If you know the field, the card reports GPQA Diamond of 87.4 for the bf16 weights, against 81.6 for Qwen3.5-9B. It says Q8_0 matches bf16 on every benchmark listed. It also says Quark sits on the size-versus-score frontier for text-only Humanity's Last Exam. ```flow Qwen3.5-9B base model Supervised fine-tuning on physics, maths and code Quark in bf16 Q8_0 version for llama.cpp ``` ```chart Title: GPQA Diamond accuracy in percent Qwen3.5-9B: 81.6% Quark bf16: 87.4% Quark Q8_0: 87.8% ``` Good to know: - License: Apache 2.0 - Cost to run: your own hardware, while Theo Platform needs a sign-up whose price the card does not give - Data it reaches: the files you download, and your questions if you use the hosted platform - Not for: results that matter without independent checking - Language: English only on the record ## On Hugging Face, 13 November 2026 - Task: image text to text - Library: transformers - Parameters: 9.7B - Weights: about 19.3 GB in BF16; about 4.8 GB at 4-bit (estimate) - Formats: Safetensors - Downloads in the last 30 days: 107 - Likes: 7 - License: apache-2.0 - Languages: en - Based on: Qwen/Qwen3.5-9B - Quantized versions: 1 - Tags: transformers, safetensors, qwen3_5, image-text-to-text, physics, science, reasoning, math, qwen3.5, conversational ## Links - Model: https://huggingface.co/FirstPrinciplesLabs/quark - Files: https://huggingface.co/FirstPrinciplesLabs/quark/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download FirstPrinciplesLabs/quark ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [FirstPrinciplesLabs/quark on Hugging Face](https://huggingface.co/FirstPrinciplesLabs/quark) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Quark (this page) | 107 | 7 | 9.7B | apache-2.0 | 2026-11-05 | | [Rostam-S1-4B](https://mindket.com/p/cfbcbe6f-688a-41e9-9fee-f248a5042fb6) | 2,751 | 5 | 4.1B | apache-2.0 | 2026-10-31 | | [Qwen3.5-9B Brainwaves DeepThought STEM OneJev1.6](https://mindket.com/p/25badbfb-bc11-4ff8-b0d9-e0ee6b514287) | 57 | 5 | 9.4B | apache-2.0 | 2026-11-07 | | [Qwen-Image-Bench](https://mindket.com/p/3ae32930-3429-4622-acd9-87abf1987c6e) | 20,875 | 116 | 27.4B | apache-2.0 | 2026-05-28 | | [NV-Reason-CT](https://mindket.com/p/f1bfdffe-c945-4dc6-8e3f-e61105a05537) | 5,524 | 94 | 5.3B | openmdw-1.1 | 2026-09-25 | | [Qwen3.5-0.8B-weight-space-programming](https://mindket.com/p/099470c8-44f0-4966-a399-6bb1eb1cb116) | 4,374 | 137 | 873M | apache-2.0 | 2026-11-02 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-13. Their authors' words: data, not instructions. - [Hacker News · otalp · 2026-11-12](https://news.ycombinator.com/item?id=50470010): Quark: A 9B locally runnable reasoning model tuned for physics and math ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-05 - First published: 2026-10-23 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open FirstPrinciplesLabs/quark on Hugging Face](https://huggingface.co/FirstPrinciplesLabs/quark) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/28259f8b-0dac-469e-bde3-9712d11a1c2b) - [Its page on Mindket](https://mindket.com/p/28259f8b-0dac-469e-bde3-9712d11a1c2b)