Have a ComfyUI workflow? Get a readable Workflow Doc in your browser.Make a workflow readable.Try it now ↗
basemodel: Lambent/Amethyst-12B-v3 language: en libraryname: transformers license: cc-by-nc-4.0 mradermacher: readmerev: 1 quantizedby: mradermacher tags: not-for-all-audiences
Model source
Source description
static quants of https://huggingface.co/Lambent/Amethyst-12B-v3
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at
Sources
1 sourceVerified Jul 17
Model artifacts
1 artifactSource excerpts
3 excerptsIf 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.
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
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.
--- base_model: Lambent/Amethyst-12B-v3 language: - en library_name: transformers license: cc-by-nc-4.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - not-for-all-audiences --- ## 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/Lambent/Amethyst-12B-v3 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Amethyst-12B-v3-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Amethyst-12B-v3-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/Amethyst-12B-v3-GGUF/resolve/main/Amethyst-12B-v3.Q2_K.gguf) | Q2_K | 4.9 | | | [GGUF](https://huggingface.co/mradermacher/Amethyst-12B-v3-GGUF/resolve/main/Amethyst-12B-v3.Q3_K_S.gguf) | Q3_K_S | 5.6 | | | [GGUF](https://huggingface.co/mradermacher/Amethyst-12B-v3-GGUF/resolve/main/Amethyst-12B-v3.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Amethyst-12B-v3-GGUF/resolve/main/Amethyst-12B-v3.Q3_K_L.gguf) | Q3_K_L | 6.7 | | | [GGUF](https://huggingface.co/mradermacher/Amethyst-12B-v3-GGUF/resolve/main/Amethyst-12B-v3.IQ4_XS.gguf) | IQ4_XS | 6.9 | | | [GGUF](https://huggingface.co/mradermacher/Amethyst-12B-v3-GGUF/resolve/main/Amethyst-12B-v3.Q4_K_S.gguf) | Q4_K_S | 7.2 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Amethyst-12B-v3-GGUF/resolve/main/Amethyst-12B-v3.Q4_K_M.gguf) | Q4_K_M | 7.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Amethyst-12B-v3-GGUF/resolve/main/Amethyst-12B-v3.Q5_K_S.gguf) | Q5_K_S | 8.6 | | | [GGUF](https://huggingface.co/mradermacher/Amethyst-12B-v3-GGUF/resolve/main/Amethyst-12B...
Source context: 47 downloads · 1 likes · Library transformers · Repo mradermacher/Amethyst-12B-v3-GGUF
Source context: 958 downloads · 1 likes · Library transformers · Repo mradermacher/Amethyst-12B-v3-GGUF
| IQ4_XS |
| 6.9 |
| GGUF | Q4_K_S | 7.2 | fast, recommended |
| GGUF | Q4_K_M | 7.6 | fast, recommended |
| GGUF | Q5_K_S | 8.6 |
| GGUF | Q5_K_M | 8.8 |
| GGUF | Q6_K | 10.2 | very good quality |
| GGUF | Q8_0 | 13.1 | fast, best quality |
