Transformers
GGUF
creative
creative writing
fiction writing
plot generation
sub-plot generation
story generation
scene continue
storytelling
fiction story
science fiction
romance
all genres
story
writing
vivid prose
vivid writing
fiction
roleplaying
bfloat16
swearing
rp
qwen3
horror
finetune
Merge
imatrix
conversational
File size: 7,356 Bytes
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---
base_model: DavidAU/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004
language:
- en
- fr
- zh
- de
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- creative
- creative writing
- fiction writing
- plot generation
- sub-plot generation
- fiction writing
- story generation
- scene continue
- storytelling
- fiction story
- science fiction
- romance
- all genres
- story
- writing
- vivid prose
- vivid writing
- fiction
- roleplaying
- bfloat16
- swearing
- rp
- qwen3
- horror
- finetune
- merge
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/DavidAU/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF).***
static quants are available at https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-IQ1_S.gguf) | i1-IQ1_S | 1.2 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-IQ1_M.gguf) | i1-IQ1_M | 1.2 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 1.3 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-IQ2_XS.gguf) | i1-IQ2_XS | 1.5 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-IQ2_S.gguf) | i1-IQ2_S | 1.5 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-IQ2_M.gguf) | i1-IQ2_M | 1.6 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-Q2_K_S.gguf) | i1-Q2_K_S | 1.7 | very low quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-Q2_K.gguf) | i1-Q2_K | 1.8 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 1.8 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-IQ3_XS.gguf) | i1-IQ3_XS | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-Q3_K_S.gguf) | i1-Q3_K_S | 2.0 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-IQ3_S.gguf) | i1-IQ3_S | 2.0 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-IQ3_M.gguf) | i1-IQ3_M | 2.1 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-Q3_K_M.gguf) | i1-Q3_K_M | 2.2 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-Q3_K_L.gguf) | i1-Q3_K_L | 2.3 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-IQ4_XS.gguf) | i1-IQ4_XS | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-Q4_0.gguf) | i1-Q4_0 | 2.5 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-IQ4_NL.gguf) | i1-IQ4_NL | 2.5 | prefer IQ4_XS |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-Q4_K_S.gguf) | i1-Q4_K_S | 2.5 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-Q4_K_M.gguf) | i1-Q4_K_M | 2.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-Q4_1.gguf) | i1-Q4_1 | 2.7 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-Q5_K_S.gguf) | i1-Q5_K_S | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-Q5_K_M.gguf) | i1-Q5_K_M | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004-i1-GGUF/resolve/main/Qwen3-4B-Fiction-On-Fire-Series-7-Model-1004.i1-Q6_K.gguf) | i1-Q6_K | 3.4 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
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