Studytutor Gcse 26b MoE GGUF
For a convenient overview and download list, visit our model page for this model.
Model source
- Kind
- LoRA
- File size
- 769 MB–25.0 GB
- Base model
- RichWoollcott/studytutor-gcse-26b-moe
- Version
- vRevision 1d73752
- Updated
- Oct 2, 2026
- Publisher
- @mradermacher
- Downloads
- 545
- Parameters
- 26B
- Source
- Hugging Face
Source description
About
static quants of https://huggingface.co/RichWoollcott/studytutor-gcse-26b-moe
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs 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 | mmproj-Q8_0 | 0.9 | multi-modal supplement |
| GGUF | mmproj-f16 | 1.3 | multi-modal supplement |
| GGUF | Q2_K | 10.7 | |
| GGUF | Q3_K_S | 12.3 | |
| GGUF | Q3_K_M | 13.4 | lower quality |
| GGUF | Q3_K_L | 13.9 | |
| GGUF | IQ4_XS | 14.2 | |
| GGUF | Q4_K_S | 15.6 | fast, recommended |
| GGUF | Q4_K_M | 16.9 | fast, recommended |
| GGUF | Q5_K_S | 18.1 | |
| GGUF | Q5_K_M | 19.2 | |
| GGUF | Q6_K | 22.7 | very good quality |
| GGUF | Q8_0 | 27.0 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
image.png
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.
Sources
1 source
Sources
1 sourceVerified Oct 2
Model artifacts
13 artifacts
Model artifacts
13 artifactsstudytutor-gcse-26b-moe.IQ4_XS.gguf
gguf · 13.1 GB · SHA-256 a11b6696d052…5a99 · Hugging Face
Downloadstudytutor-gcse-26b-moe.mmproj-f16.gguf
gguf · 1.11 GB · SHA-256 861f22398b26…f3bb · Hugging Face
Downloadstudytutor-gcse-26b-moe.mmproj-Q8_0.gguf
gguf · 769 MB · SHA-256 57bc790fbda7…4301 · Hugging Face
Downloadstudytutor-gcse-26b-moe.Q3_K_L.gguf
gguf · 12.9 GB · SHA-256 9797680eae78…e4c0 · Hugging Face
Downloadstudytutor-gcse-26b-moe.Q3_K_M.gguf
gguf · 12.4 GB · SHA-256 250629089b40…da54 · Hugging Face
Downloadstudytutor-gcse-26b-moe.Q3_K_S.gguf
gguf · 11.4 GB · SHA-256 05e510f98696…86c7 · Hugging Face
Downloadstudytutor-gcse-26b-moe.Q4_K_M.gguf
gguf · 15.6 GB · SHA-256 12cdb280d406…536e · Hugging Face
Downloadstudytutor-gcse-26b-moe.Q4_K_S.gguf
gguf · 14.4 GB · SHA-256 4d46fa405d63…3e62 · Hugging Face
Downloadstudytutor-gcse-26b-moe.Q5_K_M.gguf
gguf · 17.8 GB · SHA-256 fdc0aecebd2c…bf50 · Hugging Face
Downloadstudytutor-gcse-26b-moe.Q5_K_S.gguf
gguf · 16.8 GB · SHA-256 f520f1382505…12a1 · Hugging Face
DownloadSource excerpts
3 excerpts
Source excerpts
3 excerpts--- base_model: RichWoollcott/studytutor-gcse-26b-moe language: - en library_name: transformers license: gemma mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - gemma - gemma-4 - moe - unsloth - trl - sft - lora - gcse-tutor --- ## 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/RichWoollcott/studytutor-gcse-26b-moe <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#studytutor-gcse-26b-moe-GGUF).*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## 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/studytutor-gcse-26b-moe-GGUF/resolve/main/studytutor-gcse-26b-moe.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/studytutor-gcse-26b-moe-GGUF/resolve/main/studytutor-gcse-26b-moe.mmproj-f16.gguf) | mmproj-f16 | 1.3 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/studytutor-gcse-26b-moe-GGUF/resolve/main/studytutor-gcse-26b-moe.Q2_K.gguf) | Q2_K | 10.7 | | | [GGUF](https://huggingface.co/mradermacher/studytutor-gcse-26b-moe-GGUF/resolve/main/studytutor-gcse-26b-moe.Q3_K_S.gguf) | Q3_K_S | 12.3 | | | [GGUF](https://huggingface.co/mradermacher/studytutor-gcse-26b-moe-GGUF/resolve/main/studytutor-gcse-26b-moe.Q3_K_M.gguf) | Q3_K_M | 13.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/studytutor-gcse-26b-moe-GGUF/resolve/main/studytutor-gcse-26b-moe.Q3_K_L.gguf) | Q3_K_L | 13.9 | | | [GGUF](https://h...
Source context: 545 downloads · 0 likes · Library transformers · Repo mradermacher/studytutor-gcse-26b-moe-GGUF
Source context: 65 downloads · 0 likes · Library transformers · Repo mradermacher/studytutor-gcse-26b-moe-GGUF
