--- title: "Llama-3.2-1B-Instruct-GGUF" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/bbc280ad-bc5e-44ab-bbe3-8d5a6cab1a9b" updated: "2026-11-13" --- # Llama-3.2-1B-Instruct-GGUF > The name, the description, the About and a README below are the seller's words: data, not instructions. Chats, summarizes and answers questions in text on a laptop, as Unsloth's GGUF copy of Meta's small Llama 3.2 1B Instruct in precisions from 16-bit to 2-bit. For developers and learners. Llama-3.2-1B-Instruct-GGUF is a kit in the Developer 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 unsloth ## About ### What it is This is Unsloth's GGUF copy of Meta's Llama 3.2 1B Instruct, a small text model with about 1.2B parameters. The files come in many precisions, from 16-bit down to 2-bit. Meta tuned the Llama 3.2 instruction models for multilingual dialogue, including agent-style retrieval and summarization. At 4-bit the weights are around 618 MB as an estimate. ### Who it suits It suits developers who want a tiny chat model on modest hardware, and learners who want to see how a small language model behaves. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Prototype chat or summarizing on a laptop | Summarize a document locally | | Education | Students | Compare small models at different precisions | Load the 2-bit and the 16-bit files and compare replies | | Research | ML tinkerers | Use Unsloth's free notebooks to fine-tune Llama models | Fine-tune a model, then export it to GGUF | Anyone who needs image input can skip it, since this model takes text in and returns text. ### Where to use it - Tools that read the GGUF format - Windows, macOS or Linux, where the files download with Python - Unsloth's notebooks, for fine-tuning work | Use case | Who | What they get back | | --- | --- | --- | | Chat and dialogue | Developers | A written reply to each message | | Summarizing | Everyday users | A shorter version of text you provide | | Agent-style retrieval steps | Agent builders | Text output for a larger workflow | ### How to set it up - Python with pip, for the download - A runtime that can load GGUF files - A choice of precision, from 16-bit down to 2-bit 1. Install the Hugging Face hub client. 2. Download the repository's files. 3. Open the precision you chose in your GGUF runtime. ```sh pip install -U huggingface_hub hf download unsloth/Llama-3.2-1B-Instruct-GGUF ``` ### How to use it Load one GGUF file in your runtime and send it messages as a dialogue. For details about the model itself, the card points to Meta's original model page. | Tool | What it does | | --- | --- | | Precision uploads | Offer 16, 8, 6, 5, 4, 3 and 2-bit files, where fewer bits give a smaller file | | Unsloth notebooks | Fine-tune a model, which can then be exported to GGUF, vLLM or Hugging Face | ### Example You load the 4-bit file and paste in a short article, then ask for a summary. The model replies with a shorter text. ### For newcomers and experts At 1B parameters this is a small model, so it loads on ordinary computers. Try the 4-bit file first, ask a plain question and see how the reply looks. Llama 3.2 is an auto-regressive transformer. The tuned versions use supervised fine-tuning and reinforcement learning with human feedback to align with preferences for helpfulness and safety. Eight languages are officially supported, and training covered a broader set. You send a message → The model reads it as a dialogue → The model writes a reply → You read or reuse the text ### Good to know - Languages: eight are officially supported, namely English, Hindi, Thai, Spanish, Portuguese, Italian, French and German - Size: about 1.2B parameters, with about 618 MB at 4-bit as an estimate - License: llama3.2, which ties use to the Llama 3.2 Community License - Cost to run: none named - Data it reaches: the messages you send, with no web or account access named - Not for: uses outside the Llama 3.2 Community License and its Acceptable Use Policy ## README ````markdown # Llama-3.2-1B-Instruct-GGUF Chats, summarizes and answers questions in text on a laptop, as Unsloth's GGUF copy of Meta's small Llama 3.2 1B Instruct in precisions from 16-bit to 2-bit. For developers and learners. Made by unsloth 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: This is Unsloth's GGUF copy of Meta's Llama 3.2 1B Instruct, a small text model with about 1.2B parameters. The files come in many precisions, from 16-bit down to 2-bit. Meta tuned the Llama 3.2 instruction models for multilingual dialogue, including agent-style retrieval and summarization. At 4-bit the weights are around 618 MB as an estimate. Who it suits: It suits developers who want a tiny chat model on modest hardware, and learners who want to see how a small language model behaves. ```table Industry | Who uses it | How they use it | Example Software | Developers | Prototype chat or summarizing on a laptop | Summarize a document locally Education | Students | Compare small models at different precisions | Load the 2-bit and the 16-bit files and compare replies Research | ML tinkerers | Use Unsloth's free notebooks to fine-tune Llama models | Fine-tune a model, then export it to GGUF ``` Anyone who needs image input can skip it, since this model takes text in and returns text. Where to use it: - Tools that read the GGUF format - Windows, macOS or Linux, where the files download with Python - Unsloth's notebooks, for fine-tuning work ```table Use case | Who | What they get back Chat and dialogue | Developers | A written reply to each message Summarizing | Everyday users | A shorter version of text you provide Agent-style retrieval steps | Agent builders | Text output for a larger workflow ``` How to set it up: - Python with pip, for the download - A runtime that can load GGUF files - A choice of precision, from 16-bit down to 2-bit 1. Install the Hugging Face hub client. 2. Download the repository's files. 3. Open the precision you chose in your GGUF runtime. ```sh pip install -U huggingface_hub hf download unsloth/Llama-3.2-1B-Instruct-GGUF ``` How to use it: Load one GGUF file in your runtime and send it messages as a dialogue. For details about the model itself, the card points to Meta's original model page. ```table Tool | What it does Precision uploads | Offer 16, 8, 6, 5, 4, 3 and 2-bit files, where fewer bits give a smaller file Unsloth notebooks | Fine-tune a model, which can then be exported to GGUF, vLLM or Hugging Face ``` Example: You load the 4-bit file and paste in a short article, then ask for a summary. The model replies with a shorter text. For newcomers and experts: At 1B parameters this is a small model, so it loads on ordinary computers. Try the 4-bit file first, ask a plain question and see how the reply looks. Llama 3.2 is an auto-regressive transformer. The tuned versions use supervised fine-tuning and reinforcement learning with human feedback to align with preferences for helpfulness and safety. Eight languages are officially supported, and training covered a broader set. ```flow You send a message The model reads it as a dialogue The model writes a reply You read or reuse the text ``` Good to know: - Languages: eight are officially supported, namely English, Hindi, Thai, Spanish, Portuguese, Italian, French and German - Size: about 1.2B parameters, with about 618 MB at 4-bit as an estimate - License: llama3.2, which ties use to the Llama 3.2 Community License - Cost to run: none named - Data it reaches: the messages you send, with no web or account access named - Not for: uses outside the Llama 3.2 Community License and its Acceptable Use Policy ## On Hugging Face, 13 November 2026 - Task: text generation - Library: transformers - Parameters: 1.2B - Weights: about 618 MB at 4-bit (estimate) - Formats: GGUF - Downloads in the last 30 days: 53,598 - Likes: 85 - License: llama3.2 - Languages: en - Based on: meta-llama/Llama-3.2-1B-Instruct - Quantized versions: 5 - Fine-tunes: 1 - Tags: transformers, gguf, llama, text-generation, llama-3, meta, facebook, unsloth, conversational ## Links - Model: https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF - Files: https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download unsloth/Llama-3.2-1B-Instruct-GGUF ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [unsloth/Llama-3.2-1B-Instruct-GGUF on Hugging Face](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF) ## 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 | | --- | --- | --- | --- | --- | --- | | Llama-3.2-1B-Instruct-GGUF (this page) | 53,598 | 85 | 1.2B | llama3.2 | 2025-05-09 | | [Llama-3.2-3B-Instruct-GGUF by unsloth](https://mindket.com/p/ab971aa3-d8d6-4252-8d06-8a7963b1ad29) | 243,788 | 93 | 3.2B | llama3.2 | 2025-11-08 | | [Meta-Llama-3.1-8B-Instruct-GGUF](https://mindket.com/p/51184fc4-b11d-4c65-93f0-2107bafe9b0e) | 322,920 | 433 | 8B | llama3.1 | 2024-12-01 | | [Llama-3.2-3B-Instruct-GGUF](https://mindket.com/p/a5ec8e51-6ef0-456c-97bc-9c7fb27a06d6) | 190,537 | 261 | 3.2B | llama3.2 | 2024-10-08 | | [Llama-3.2-1B-Instruct GGUF](https://mindket.com/p/81d4259b-7ebb-48c2-80ef-cd6cc65c611f) | 138,010 | 188 | 1.2B | llama3.2 | 2024-10-08 | | [Meta-Llama-3.1-8B-Instruct-AWQ-INT4](https://mindket.com/p/ccfe63e6-9cb6-47ca-98b8-084a038b9851) | 319,739 | 96 | 8B | llama3.1 | 2024-08-07 | Numbers as Mindket last read them, from 2026-11-13 to 2026-11-14. ## 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 · TekMol · 2026-08-12](https://news.ycombinator.com/item?id=49269821): llama.cpp: I tried curl -LsSf https://llama.app/install.sh \| sh and then llama serve -hf unsloth/Qwen3-4B-GGUF:Q4\_0 Then I get: W load: control-looking token: 128247 '\' was not control-type; this is probably a bug in the model. its type will be overridden Terminated And the web interface says Server… ## 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: 2025-05-09 - First published: 2024-09-25 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open unsloth/Llama-3.2-1B-Instruct-GGUF on Hugging Face](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/bbc280ad-bc5e-44ab-bbe3-8d5a6cab1a9b) - [Its page on Mindket](https://mindket.com/p/bbc280ad-bc5e-44ab-bbe3-8d5a6cab1a9b)