Huihui4 8B A4B v2 GGUF
For a convenient overview and download list, visit our model page for this model.
Modellquelle
- Art
- Other
- Dateigröße
- 769 MB–15,1 GB
- Basismodell
- huihui-ai/Huihui4-8B-A4B-v2
- Version
- vRevision 9442a2e
- Aktualisiert
- 2. Okt. 2026
- Verleger
- @mradermacher
- Downloads
- 1027
- Parameter
- 8B
- Quelle
- Hugging Face
Quellenbeschreibung
About
static quants of https://huggingface.co/huihui-ai/Huihui4-8B-A4B-v2
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Huihui4-8B-A4B-v2-i1-GGUF
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 | 3.7 | |
| GGUF | Q3_K_S | 4.2 | |
| GGUF | Q3_K_M | 4.5 | lower quality |
| GGUF | Q3_K_L | 4.7 | |
| GGUF | IQ4_XS | 4.7 | |
| GGUF | Q4_K_S | 5.1 | fast, recommended |
| GGUF | Q4_K_M | 5.5 | fast, recommended |
| GGUF | Q5_K_S | 5.9 | |
| GGUF | Q5_K_M | 6.2 | |
| GGUF | Q6_K | 7.3 | very good quality |
| GGUF | Q8_0 | 8.7 | fast, best quality |
| GGUF | f16 | 16.3 | 16 bpw, overkill |
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.
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 2. Okt.
Modellartefakte
14 Artefakte
Modellartefakte
14 ArtefakteHuihui4-8B-A4B-v2.mmproj-f16.gguf
gguf · 1,11 GB · SHA-256 e68211871acd…0ea6 · Hugging Face
HerunterladenHuihui4-8B-A4B-v2.mmproj-Q8_0.gguf
gguf · 769 MB · SHA-256 01c763f6912e…2937 · Hugging Face
HerunterladenQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- base_model: huihui-ai/Huihui4-8B-A4B-v2 datasets: - huihui-ai/GLM-5.1-Multilingual-STEM language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - sft - Moe - Pruned --- ## 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/huihui-ai/Huihui4-8B-A4B-v2 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Huihui4-8B-A4B-v2-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Huihui4-8B-A4B-v2-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](https://huggingface.co/mradermacher/Huihui4-8B-A4B-v2-GGUF/resolve/main/Huihui4-8B-A4B-v2.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Huihui4-8B-A4B-v2-GGUF/resolve/main/Huihui4-8B-A4B-v2.mmproj-f16.gguf) | mmproj-f16 | 1.3 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Huihui4-8B-A4B-v2-GGUF/resolve/main/Huihui4-8B-A4B-v2.Q2_K.gguf) | Q2_K | 3.7 | | | [GGUF](https://huggingface.co/mradermacher/Huihui4-8B-A4B-v2-GGUF/resolve/main/Huihui4-8B-A4B-v2.Q3_K_S.gguf) | Q3_K_S | 4.2 | | | [GGUF](https://huggingface.co/mradermacher/Huihui4-8B-A4B-v2-GGUF/resolve/main/Huihui4-8B-A4B-v2.Q3_K_M.gguf) | Q3_K_M | 4.5 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Huihui4-8B-A4B-v2-GGUF/resolve/main/Huihui4-8B-A4B-v2.Q3_K_L.gguf) | Q3_K_L | 4.7 | | | [GGUF](https://huggingface.co/mradermacher/Huihui4-8B-A4B-v2-GGUF/resolve/main/Huihui4-8B-A4B-v2.IQ4_XS.gguf) | IQ4_XS | 4.7 | | | [GGUF](https://huggingface.co/mradermacher/Huihui4-8B-A4B-v2-GGUF/resolve/main/Huihui4-8B-A4B-v2.Q4_K_S.g...
Source context: 1027 downloads · 6 likes · Library transformers · Repo mradermacher/Huihui4-8B-A4B-v2-GGUF
Source context: 476 downloads · 6 likes · Library transformers · Repo mradermacher/Huihui4-8B-A4B-v2-GGUF
