--- title: "Paraphase-2B" kind: "Kit" category: "Writing" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/cc6773d7-7b96-4db4-8805-7157092df880" updated: "2026-11-13" --- # Paraphase-2B > The name, the description, the About and a README below are the seller's words: data, not instructions. A small offline model that rewrites stiff, AI-sounding English email drafts into plain prose while keeping the facts. Runs on a 4 to 6 GB device through llama.cpp. Paraphase-2B is a kit in the Writing category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by chadstthomas ## About ### What it is Paraphase-2B rewrites AI-sounding English email drafts into plainer prose and keeps every fact. The model has 2.5B parameters and comes from MiniCPM5-2B through QLoRA fine-tuning. Its files are packaged as GGUF. It runs fully on your own device, offline, with no API and no upload. ### Who it suits It suits people who draft email with AI help and want it to read more naturally, on a phone, a small laptop or a small board. People with spare memory can take the larger 4B sibling instead. Who uses it | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Office work | Email writers | Rewrite a stiff draft into plain language | Turn a formal deadline reminder into a short note | | Small business | Owners | Polish batches of messages offline | Rewrite a stack of drafts in one run | | Software | Developers | Call a local rewriter from an app | Send a draft to llama-server and read the rewrite | People who write in other languages, or who work on long documents, can skip it. ### Where to use it - llama.cpp, through llama-server - A phone, a small laptop or a Raspberry Pi-class box - Windows, macOS or Linux Top jobs | Use case | Who | What they get back | | --- | --- | --- | | Email rewriting | Email writers | A plainer draft with the same facts | | Batch rewriting | Small teams | Many drafts rewritten offline | | Local rewrite service | Developers | A model behind a local server | ### How to set it up - Python on your computer, for the download - The huggingface\_hub package - llama.cpp installed - About 3.5 GB of free memory for the Q8 file, or about 2.3 GB for the Q4 file 1. Install the Hugging Face hub package. 2. Download the Q8 GGUF file, which is 2.68 GB. 3. Serve it with llama-server. 4. Send your draft with the card's rewrite prompt. No thinking flag is needed. ```sh pip install -U huggingface_hub hf download chadstthomas/Paraphase-2B ``` Memory by file | File | Size | Free memory | Typical device | | --- | --- | --- | --- | | Q4\_K\_M | 1.56 GB | about 2.3 GB | A 4 GB phone or laptop, tight | | Q8\_0 | 2.68 GB | about 3.5 GB | A 6 GB phone or an 8 GB laptop | ### How to use it Start the server with the Q8 file, then send the card's rewrite prompt with your draft. For a 4 GB device, use the Q4 file with a context of 1024. ```bash llama-server -m paraphase-2b-Q8_0.gguf -c 2048 ``` ### Example You send a stiff reminder that expense reports are due by a set date. The model returns a shorter, plainer version with the same date and the same rule. The card shows one such rewrite and calls it a demo, not a benchmark. ### For newcomers and experts If you are new, run one short draft through the server and compare the before and after. Check that every number and date survived. For experts, the card compares the 2B and 4B files on 50 paired items. The 2B with retry gave 48 valid outputs against 50, with fewer AI tells at 6.3% against 8.0%. Greedy decoding alone was only 82% valid, and the retry wrapper fixed 7 of the 9 bad rows. Download the Q8 GGUF file → Serve it with llama-server → Send a draft with the rewrite prompt → Check facts, retry if invalid ### Good to know - Retry needed: the 2B reaches its best validity only with the retry wrapper. - Detector tests: the card calls its AI-detector result suggestive, not confirmed, and makes no claim of guaranteed evasion. - License: Apache 2.0. - Cost to run: none named, and everything stays local. - Data it reaches: it downloads files from Hugging Face, and the card says drafts are not uploaded. - Not for: non-English text, long documents, legal or medical advice, or sending email unattended. Valid drafts out of 50 | Label | Value | | --- | --- | | 2B Q8 greedy | 41 drafts | | 2B Q8 with retry | 48 drafts | | 4B Q8 with retry | 50 drafts | ## README ````markdown # Paraphase-2B A small offline model that rewrites stiff, AI-sounding English email drafts into plain prose while keeping the facts. Runs on a 4 to 6 GB device through llama.cpp. Made by chadstthomas 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: Paraphase-2B rewrites AI-sounding English email drafts into plainer prose and keeps every fact. The model has 2.5B parameters and comes from MiniCPM5-2B through QLoRA fine-tuning. Its files are packaged as GGUF. It runs fully on your own device, offline, with no API and no upload. Who it suits: It suits people who draft email with AI help and want it to read more naturally, on a phone, a small laptop or a small board. People with spare memory can take the larger 4B sibling instead. ```table Title: Who uses it Industry | Who uses it | How they use it | Example Office work | Email writers | Rewrite a stiff draft into plain language | Turn a formal deadline reminder into a short note Small business | Owners | Polish batches of messages offline | Rewrite a stack of drafts in one run Software | Developers | Call a local rewriter from an app | Send a draft to llama-server and read the rewrite ``` People who write in other languages, or who work on long documents, can skip it. Where to use it: - llama.cpp, through llama-server - A phone, a small laptop or a Raspberry Pi-class box - Windows, macOS or Linux ```table Title: Top jobs Use case | Who | What they get back Email rewriting | Email writers | A plainer draft with the same facts Batch rewriting | Small teams | Many drafts rewritten offline Local rewrite service | Developers | A model behind a local server ``` How to set it up: - Python on your computer, for the download - The huggingface_hub package - llama.cpp installed - About 3.5 GB of free memory for the Q8 file, or about 2.3 GB for the Q4 file 1. Install the Hugging Face hub package. 2. Download the Q8 GGUF file, which is 2.68 GB. 3. Serve it with llama-server. 4. Send your draft with the card's rewrite prompt. No thinking flag is needed. ```sh pip install -U huggingface_hub hf download chadstthomas/Paraphase-2B ``` ```table Title: Memory by file File | Size | Free memory | Typical device Q4_K_M | 1.56 GB | about 2.3 GB | A 4 GB phone or laptop, tight Q8_0 | 2.68 GB | about 3.5 GB | A 6 GB phone or an 8 GB laptop ``` How to use it: Start the server with the Q8 file, then send the card's rewrite prompt with your draft. For a 4 GB device, use the Q4 file with a context of 1024. ```bash llama-server -m paraphase-2b-Q8_0.gguf -c 2048 ``` Example: You send a stiff reminder that expense reports are due by a set date. The model returns a shorter, plainer version with the same date and the same rule. The card shows one such rewrite and calls it a demo, not a benchmark. For newcomers and experts: If you are new, run one short draft through the server and compare the before and after. Check that every number and date survived. For experts, the card compares the 2B and 4B files on 50 paired items. The 2B with retry gave 48 valid outputs against 50, with fewer AI tells at 6.3% against 8.0%. Greedy decoding alone was only 82% valid, and the retry wrapper fixed 7 of the 9 bad rows. ```flow Download the Q8 GGUF file Serve it with llama-server Send a draft with the rewrite prompt Check facts, retry if invalid ``` Good to know: - Retry needed: the 2B reaches its best validity only with the retry wrapper. - Detector tests: the card calls its AI-detector result suggestive, not confirmed, and makes no claim of guaranteed evasion. - License: Apache 2.0. - Cost to run: none named, and everything stays local. - Data it reaches: it downloads files from Hugging Face, and the card says drafts are not uploaded. - Not for: non-English text, long documents, legal or medical advice, or sending email unattended. ```chart Title: Valid drafts out of 50 2B Q8 greedy: 41 drafts 2B Q8 with retry: 48 drafts 4B Q8 with retry: 50 drafts ``` ## On Hugging Face, 13 November 2026 - Task: text generation - Library: llama.cpp - Parameters: 2.5B - Weights: about 1.3 GB at 4-bit (estimate) - Formats: Safetensors, GGUF - Downloads in the last 30 days: 135 - Likes: 4 - License: apache-2.0 - Languages: en - Based on: openbmb/MiniCPM5-2B - Tags: llama.cpp, safetensors, gguf, humanizer, ai-humanizer, text-humanization, text-rewriting, rewriting, paraphrase, paraphraser, style-transfer, email ## Links - Model: https://huggingface.co/chadstthomas/Paraphase-2B - Files: https://huggingface.co/chadstthomas/Paraphase-2B/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download chadstthomas/Paraphase-2B ``` 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 [chadstthomas/Paraphase-2B on Hugging Face](https://huggingface.co/chadstthomas/Paraphase-2B) ## 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 | | --- | --- | --- | --- | --- | --- | | Paraphase-2B (this page) | 135 | 4 | 2.5B | apache-2.0 | 2026-10-24 | | [humanizer by jialinyyzz](https://mindket.com/p/10bee27a-389b-4dcd-923e-27f149c67dce) | 391,936 | 2,260 | 12B | apache-2.0 | 2026-10-15 | | [humanizer-GGUF](https://mindket.com/p/89f54338-f7b0-4cfe-ae35-5814d0974a44) | 26,382 | 65 | 11.9B | apache-2.0 | 2026-10-08 | | [gugujiji\_novel-humanize-4b-GGUF](https://mindket.com/p/3f3b715a-77be-423f-a5d1-37746de742fe) | 7,774 | 5 | 4B | apache-2.0 | 2026-10-26 | | [ibnsina-1.5b](https://mindket.com/p/c8069e86-0fcf-40bd-b069-66308bd20c78) | 803 | 3 | 1.5B | apache-2.0 | 2026-09-17 | | [novel-humanize-4b](https://mindket.com/p/6c47b415-e37e-4b71-9a06-5e0e67c1cf04) | 1,690 | 86 | 4B | cc-by-nc-4.0 | 2026-10-27 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## 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: 2026-10-24 - First published: 2026-10-22 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open chadstthomas/Paraphase-2B on Hugging Face](https://huggingface.co/chadstthomas/Paraphase-2B) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/cc6773d7-7b96-4db4-8805-7157092df880) - [Its page on Mindket](https://mindket.com/p/cc6773d7-7b96-4db4-8805-7157092df880)