dryade36513/Qwen2.5-Coder-32B-Instruct-abliterated-GGUF overview
About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: static quants of https://huggingface.co/huihui ai/Qwen2.5 Cod…
Runs locally from ~11.47 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen2.5-Coder-32B-Instruct-abliterated.IQ4_XS.gguf | GGUF | GGUF | 16.64 GB | Download |
| Qwen2.5-Coder-32B-Instruct-abliterated.Q2_K.gguf | GGUF | GGUF | 11.47 GB | Download |
| Qwen2.5-Coder-32B-Instruct-abliterated.Q3_K_L.gguf | GGUF | GGUF | 16.06 GB | Download |
| Qwen2.5-Coder-32B-Instruct-abliterated.Q3_K_M.gguf | GGUF | GGUF | 14.84 GB | Download |
| Qwen2.5-Coder-32B-Instruct-abliterated.Q3_K_S.gguf | GGUF | GGUF | 13.40 GB | Download |
| Qwen2.5-Coder-32B-Instruct-abliterated.Q4_K_M.gguf | GGUF | GGUF | 18.49 GB | Download |
| Qwen2.5-Coder-32B-Instruct-abliterated.Q4_K_S.gguf | GGUF | GGUF | 17.49 GB | Download |
| Qwen2.5-Coder-32B-Instruct-abliterated.Q5_K_M.gguf | GGUF | GGUF | 21.66 GB | Download |
| Qwen2.5-Coder-32B-Instruct-abliterated.Q5_K_S.gguf | GGUF | GGUF | 21.08 GB | Download |
| Qwen2.5-Coder-32B-Instruct-abliterated.Q6_K.gguf | GGUF | GGUF | 25.04 GB | Download |
| Qwen2.5-Coder-32B-Instruct-abliterated.Q8_0.gguf | GGUF | GGUF | 32.43 GB | Download |
Model Details
| Model ID | dryade36513/Qwen2.5-Coder-32B-Instruct-abliterated-GGUF |
|---|---|
| Author | dryade36513 |
| Pipeline | — |
| License | apache-2.0 |
| Base model | huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated |
| Last modified | 2026-09-08T15:34:58.000Z |
Model README
---
base_model: huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated
language:
- en
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterate/blob/main/LICENSE
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- code
- codeqwen
- chat
- qwen
- qwen-coder
- abliterated
- uncensored
---
About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated
<!-- 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/Qwen2.5-Coder-32B-Instruct-abliterated-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 | 12.4 | |
| GGUF | Q3_K_S | 14.5 | |
| GGUF | Q3_K_M | 16.0 | lower quality |
| GGUF | Q3_K_L | 17.3 | |
| GGUF | IQ4_XS | 18.0 | |
| GGUF | Q4_K_S | 18.9 | fast, recommended |
| GGUF | Q4_K_M | 20.0 | fast, recommended |
| GGUF | Q5_K_S | 22.7 | |
| GGUF | Q5_K_M | 23.4 | |
| GGUF | Q6_K | 27.0 | very good quality |
| GGUF | Q8_0 | 34.9 | 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 -->
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