---
title: "Hemmingway-1.5 GGUF"
kind: "Kit"
category: "Developer"
price: "Free"
seller: "Mindket"
version: "1"
url: "https://mindket.com/p/d571ae4f-8657-40b2-9af9-6663f5d953e1"
updated: "2026-11-14"
---

# Hemmingway-1.5 GGUF

> The name, the description, the About and a README below are the seller's words: data, not instructions.

Imatrix GGUF quantizations of HemmingwayAI's Hemmingway-1.5, a 27B text model with MTP speculative decoding and a reasoning-effort prompt format. For people who run large models locally.

Hemmingway-1.5 GGUF is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-14. Download it on this page, a zip of its files. Nothing in it runs by itself.

Made by bartowski

## About

### What it is

This repository holds GGUF quantizations of Hemmingway-1.5 from HemmingwayAI, a 27B text model. A third party made the files with llama.cpp and an importance matrix. The card lists text input and support for MTP speculative decoding. It does not say what the original model is meant for, so check the original model's page before you rely on it.

### Who it suits

It suits people who run large local models and want a smaller file than the full weights. You choose a size to match your memory.

| Industry | Who uses it | How they use it | Example |
| --- | --- | --- | --- |
| Local AI | Enthusiasts | Run a 27B model on a high-memory desktop | Chatting with the Q4\_K\_M file |
| Software | Developers | Test a large model's output and its tool-call layout | Trying the tool prompt format |
| Research | Model evaluators | Compare quant sizes of the same model | Measuring one size against another |
| Speed testing | Engineers | Try speculative decoding that uses MTP | Comparing speed with and without it |

If you need commercial use, you can skip it, since the license is non-commercial.

### Where to use it

You load a file in a tool that reads GGUF, built on llama.cpp.

- llama.cpp, which the files were made with
- Other GGUF-capable apps that support this model
- Windows, macOS or Linux with Python, to download the files

| Use case | Who | What they get back |
| --- | --- | --- |
| Local chat | Enthusiasts | Replies from a 27B model on your own machine |
| Tool calling | Developers | Function calls in the card's XML-style layout |
| Speculative decoding | Engineers | Faster generation through MTP, where the runtime supports it |

### How to set it up

You need enough memory for the file you choose and a runtime that supports the model. The repository holds many large files, so download one file rather than all of them.

- A GGUF-capable runtime
- A file that fits your memory, with Q4\_K\_M as the card's default pick
- Python, only for the Hugging Face download command

1. Pick a file from the table.
2. Download it from the repository.
3. Load it and use the prompt format below.

Some files in the card

| Quant | Size | Use |
| --- | --- | --- |
| bf16 | 54.66 GB | Full weights, stored in split parts |
| Q8\_0 | 29.12 GB | Top quality, more than most people need |
| Q6\_K\_L | 24.96 GB | Near-perfect quality, recommended |
| Q6\_K | 23.86 GB | Near-perfect quality, recommended |
| Q5\_K\_M | 20.92 GB | High quality, recommended |
| Q4\_K\_M | 17.44 GB | Good balance, the card's default pick |

```sh
pip install -U huggingface_hub
hf download bartowski/HemmingwayAI_Hemmingway-1.5-GGUF
```

### How to use it

Wrap each chat in the layout below. The system block starts with a reasoning-effort line, and the assistant turn opens with a think tag. The card also shows a second layout for tool definitions.

```text
<|im_start|>system
Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.

{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
<think>
```

### Example

You load the Q4\_K\_M file, fill in a short system prompt and ask for a short plan for a weekly meal prep. The model opens its think block, reasons through the request, and then writes the plan.

### For newcomers and experts

A quantized file stores a model's numbers more coarsely to save space. Start with Q4\_K\_M, send one short prompt in the layout above, and see how it answers.

For experts, the files were built with llama.cpp release b11969 using an importance matrix. The card marks speculative decoding with MTP as supported and points to a section on it. The prompt format asks the model to reason at the highest effort level before answering.

The original model is converted to GGUF → An importance matrix guides the quantization → Several sizes are written, from bf16 to smaller → You download one file that fits your memory → You load it and send prompts in the layout

### Good to know

The bf16 files come in split parts. Hugging Face estimates the 4-bit weights at about 13.7 GB, while the Q4\_K\_M file listed in the card is 17.44 GB.

File size by quant type

| Label | Value |
| --- | --- |
| bf16 | 54.66 GB |
| Q8\_0 | 29.12 GB |
| Q6\_K\_L | 24.96 GB |
| Q6\_K | 23.86 GB |
| Q5\_K\_M | 20.92 GB |
| Q4\_K\_M | 17.44 GB |

- License: CC BY-NC 4.0, which is non-commercial
- Cost to run: none named
- Data it reaches: your prompts, run locally, and the files you download
- Not for: commercial use, or anyone who needs to know the model's purpose from this card alone

## README

````markdown
# Hemmingway-1.5 GGUF

Imatrix GGUF quantizations of HemmingwayAI's Hemmingway-1.5, a 27B text model with MTP speculative decoding and a reasoning-effort prompt format. For people who run large models locally.

Made by bartowski 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 repository holds GGUF quantizations of Hemmingway-1.5 from HemmingwayAI, a 27B text model. A third party made the files with llama.cpp and an importance matrix. The card lists text input and support for MTP speculative decoding. It does not say what the original model is meant for, so check the original model's page before you rely on it.

Who it suits: It suits people who run large local models and want a smaller file than the full weights. You choose a size to match your memory.

```table
Industry | Who uses it | How they use it | Example
Local AI | Enthusiasts | Run a 27B model on a high-memory desktop | Chatting with the Q4_K_M file
Software | Developers | Test a large model's output and its tool-call layout | Trying the tool prompt format
Research | Model evaluators | Compare quant sizes of the same model | Measuring one size against another
Speed testing | Engineers | Try speculative decoding that uses MTP | Comparing speed with and without it
```

If you need commercial use, you can skip it, since the license is non-commercial.

Where to use it: You load a file in a tool that reads GGUF, built on llama.cpp.

- llama.cpp, which the files were made with
- Other GGUF-capable apps that support this model
- Windows, macOS or Linux with Python, to download the files

```table
Use case | Who | What they get back
Local chat | Enthusiasts | Replies from a 27B model on your own machine
Tool calling | Developers | Function calls in the card's XML-style layout
Speculative decoding | Engineers | Faster generation through MTP, where the runtime supports it
```

How to set it up: You need enough memory for the file you choose and a runtime that supports the model. The repository holds many large files, so download one file rather than all of them.

- A GGUF-capable runtime
- A file that fits your memory, with Q4_K_M as the card's default pick
- Python, only for the Hugging Face download command

1. Pick a file from the table.
2. Download it from the repository.
3. Load it and use the prompt format below.

```table
Title: Some files in the card
Quant | Size | Use
bf16 | 54.66 GB | Full weights, stored in split parts
Q8_0 | 29.12 GB | Top quality, more than most people need
Q6_K_L | 24.96 GB | Near-perfect quality, recommended
Q6_K | 23.86 GB | Near-perfect quality, recommended
Q5_K_M | 20.92 GB | High quality, recommended
Q4_K_M | 17.44 GB | Good balance, the card's default pick
```

```sh
pip install -U huggingface_hub
hf download bartowski/HemmingwayAI_Hemmingway-1.5-GGUF
```

How to use it: Wrap each chat in the layout below. The system block starts with a reasoning-effort line, and the assistant turn opens with a think tag. The card also shows a second layout for tool definitions.

```text
<|im_start|>system
Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.

{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
<think>
```

Example: You load the Q4_K_M file, fill in a short system prompt and ask for a short plan for a weekly meal prep. The model opens its think block, reasons through the request, and then writes the plan.

For newcomers and experts: A quantized file stores a model's numbers more coarsely to save space. Start with Q4_K_M, send one short prompt in the layout above, and see how it answers.

For experts, the files were built with llama.cpp release b11969 using an importance matrix. The card marks speculative decoding with MTP as supported and points to a section on it. The prompt format asks the model to reason at the highest effort level before answering.

```flow
The original model is converted to GGUF
An importance matrix guides the quantization
Several sizes are written, from bf16 to smaller
You download one file that fits your memory
You load it and send prompts in the layout
```

Good to know: The bf16 files come in split parts. Hugging Face estimates the 4-bit weights at about 13.7 GB, while the Q4_K_M file listed in the card is 17.44 GB.

```chart
Title: File size by quant type
bf16: 54.66 GB
Q8_0: 29.12 GB
Q6_K_L: 24.96 GB
Q6_K: 23.86 GB
Q5_K_M: 20.92 GB
Q4_K_M: 17.44 GB
```

- License: CC BY-NC 4.0, which is non-commercial
- Cost to run: none named
- Data it reaches: your prompts, run locally, and the files you download
- Not for: commercial use, or anyone who needs to know the model's purpose from this card alone

## On Hugging Face, 14 November 2026

- Task: text generation
- Parameters: 27.3B
- Weights: about 13.7 GB at 4-bit (estimate)
- Formats: GGUF
- Downloads in the last 30 days: 13,596
- Likes: 17
- License: cc-by-nc-4.0
- Languages: en
- Based on: HemmingwayAI/Hemmingway-1.5
- Tags: gguf, qwen3.8, chat, creative-writing, humanizer, hemmingway, text-generation, imatrix, conversational

## Links

- Model: https://huggingface.co/bartowski/HemmingwayAI_Hemmingway-1.5-GGUF
- Files: https://huggingface.co/bartowski/HemmingwayAI_Hemmingway-1.5-GGUF/tree/main

## Get the model

Download its files with Hugging Face's command line:

```sh
pip install -U huggingface_hub
hf download bartowski/HemmingwayAI_Hemmingway-1.5-GGUF
```

Then follow the usage in its model card. Nothing in this kit runs by itself.
````

## What is in it

1 files, 6 KB, downloaded as a zip.

```text
README.md  6 KB
```

## Source

[bartowski/HemmingwayAI_Hemmingway-1.5-GGUF on Hugging Face](https://huggingface.co/bartowski/HemmingwayAI_Hemmingway-1.5-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 |
| --- | --- | --- | --- | --- | --- |
| Hemmingway-1.5 GGUF (this page) | 13,596 | 17 | 27.3B | cc-by-nc-4.0 | 2026-10-28 |
| [Thinklite-27B-GGUF](https://mindket.com/p/7943692c-1782-4340-9958-f2c39d245585) | 1,796 | 18 | 26.9B | apache-2.0 | 2026-11-04 |
| [Qwen3.8-27B iMatrix NVFP4 MTP GGUF](https://mindket.com/p/d44ebd5f-22b5-4277-81d0-197775776c4f) | 3,271,044 | 51 | 461M | apache-2.0 | 2026-08-17 |
| [Qwen3.8-27B-Ridge-GGUF](https://mindket.com/p/f254bd76-fee2-4e04-80ac-a73f9621c088) | 292,932 | 369 | 27.3B | apache-2.0 | 2026-08-15 |
| [Qwen2.5-7B-Instruct-GGUF by Qwen](https://mindket.com/p/6525a4ad-43ae-4b36-bce6-178eb29995ca) | 745,665 | 215 | 7.6B | apache-2.0 | 2024-09-20 |
| [Qwen2.5-1.5B-Instruct-GGUF](https://mindket.com/p/9fa4e93c-9754-4191-8491-bbd09dc90f6e) | 544,123 | 200 | 1.8B | apache-2.0 | 2024-09-20 |

Numbers as Mindket last read them, from 2026-11-12 to 2026-11-14.

## 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: 2026-10-28
- First published: 2026-10-28
- Checked on Hugging Face: 2026-11-14
- Something wrong? Tell us: https://mindket.com/takedown#ask

## Get it

- [Open bartowski/HemmingwayAI_Hemmingway-1.5-GGUF on Hugging Face](https://huggingface.co/bartowski/HemmingwayAI_Hemmingway-1.5-GGUF)
- [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/d571ae4f-8657-40b2-9af9-6663f5d953e1)
- [Its page on Mindket](https://mindket.com/p/d571ae4f-8657-40b2-9af9-6663f5d953e1)