mradermacher/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base-GGUF overview
About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: < quants: x f16 Q4 K S Q2 K Q8 0 Q6 K Q3 K M Q3 K S Q3 K L Q4…
Runs locally from ~7.82 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.IQ4_XS.gguf | GGUF | GGUF | 11.02 GB | Download |
| MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.Q2_K.gguf | GGUF | GGUF | 7.82 GB | Download |
| MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.Q3_K_L.gguf | GGUF | GGUF | 10.39 GB | Download |
| MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.Q3_K_M.gguf | GGUF | GGUF | 9.67 GB | Download |
| MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.Q3_K_S.gguf | GGUF | GGUF | 8.81 GB | Download |
| MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.Q4_K_M.gguf | GGUF | GGUF | 11.97 GB | Download |
| MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.Q4_K_S.gguf | GGUF | GGUF | 11.30 GB | Download |
| MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.Q5_K_M.gguf | GGUF | GGUF | 13.88 GB | Download |
| MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.Q5_K_S.gguf | GGUF | GGUF | 13.50 GB | Download |
| MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.Q6_K.gguf | GGUF | GGUF | 15.91 GB | Download |
| MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.Q8_0.gguf | GGUF | GGUF | 20.61 GB | Download |
Model Details
| Model ID | mradermacher/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base-GGUF |
|---|---|
| Author | mradermacher |
| Pipeline | image-text-to-text |
| License | other |
| Base model | ZERO-POINT-AI/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base |
| Last modified | 2026-07-20T13:28:48.000Z |
Model README
---
base_model: ZERO-POINT-AI/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base
language:
- en
library_name: transformers
license: other
license_link: https://huggingface.co/ZERO-POINT-AI/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base/blob/main/NOTICE
license_name: zpi-model-license-v2
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- conversational
- uncensored
- omni
- vision
- qwen3_5_text
- zero-point-intelligence
- martha
- dundee
- scottish
- roleplaying
- fiction-writing
- creative-writing
- multimodal
- image-text-to-text
---
About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static quants of https://huggingface.co/ZERO-POINT-AI/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base
<!-- provided-files -->
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base-i1-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 | Q2_K | 8.5 | |
| GGUF | Q3_K_S | 9.6 | |
| GGUF | Q3_K_M | 10.5 | lower quality |
| GGUF | Q3_K_L | 11.3 | |
| GGUF | IQ4_XS | 11.9 | |
| GGUF | Q4_K_S | 12.2 | fast, recommended |
| GGUF | Q4_K_M | 13.0 | fast, recommended |
| GGUF | Q5_K_S | 14.6 | |
| GGUF | Q5_K_M | 15.0 | |
| GGUF | Q6_K | 17.2 | very good quality |
| GGUF | Q8_0 | 22.2 | fast, best quality |
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, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
<!-- end -->
Run mradermacher/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models