70B Vegatron Plastic GGUF
For a convenient overview and download list, visit our model page for this model.
Model source
- Kind
- Text model
- File size
- 25.4–69.9 GB
- Base model
- Silverfoe/70B-Vegatron-Plastic
- Version
- vRevision 00c194f
- Updated
- Oct 2, 2026
- Publisher
- @mradermacher
- Downloads
- 553
- Parameters
- 70B
- Source
- Hugging Face
Source description
About
static quants of https://huggingface.co/Silverfoe/70B-Vegatron-Plastic
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/70B-Vegatron-Plastic-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 | Q2_K | 27.4 | |
| GGUF | Q3_K_S | 30.9 | |
| GGUF | Q3_K_M | 35.6 | lower quality |
| GGUF | IQ4_XS | 38.6 | |
| GGUF | Q3_K_L | 39.7 | |
| GGUF | Q4_K_S | 40.5 | fast, recommended |
| GGUF | Q4_K_M | 43.8 | fast, recommended |
| GGUF | Q5_K_S | 48.8 | |
| GGUF | Q5_K_M | 50.7 | |
| GGUF | Q6_K | 58.0 | very good quality |
| GGUF | Q8_0 | 75.1 | 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
Download files
Model artifacts
11 artifacts
Model artifacts
11 artifacts70B-Vegatron-Plastic.IQ4_XS.gguf
gguf · 35.8 GB · SHA-256 6fa39170732c…5cb7 · Hugging Face
Download file70B-Vegatron-Plastic.Q2_K.gguf
gguf · 25.4 GB · SHA-256 a4ea3ac9d602…2ce2 · Hugging Face
Download file70B-Vegatron-Plastic.Q3_K_L.gguf
gguf · 36.9 GB · SHA-256 2a8b229595e2…e7d3 · Hugging Face
Download file70B-Vegatron-Plastic.Q3_K_M.gguf
gguf · 33.1 GB · SHA-256 c6f03b602ecb…7f5a · Hugging Face
Download file70B-Vegatron-Plastic.Q3_K_S.gguf
gguf · 28.7 GB · SHA-256 ebd8b9de868d…4f18 · Hugging Face
Download file70B-Vegatron-Plastic.Q4_K_M.gguf
gguf · 40.7 GB · SHA-256 b1163386ab2e…0bbc · Hugging Face
Download file70B-Vegatron-Plastic.Q4_K_S.gguf
gguf · 37.7 GB · SHA-256 3a590d4b8012…0629 · Hugging Face
Download file70B-Vegatron-Plastic.Q5_K_M.gguf
gguf · 47.1 GB · SHA-256 c1ae38436e25…db2c · Hugging Face
Download file70B-Vegatron-Plastic.Q5_K_S.gguf
gguf · 45.3 GB · SHA-256 d4f590b3e2e4…6b7d · Hugging Face
Download file70B-Vegatron-Plastic.Q6_K.gguf
gguf · 53.9 GB · SHA-256 a2558cfd4a67…16ae · Hugging Face
Download file70B-Vegatron-Plastic.Q8_0.gguf
gguf · 69.9 GB · SHA-256 1ce4dee9babf…06a9 · Hugging Face
Download fileSource excerpts
3 excerpts
Source excerpts
3 excerpts--- base_model: Silverfoe/70B-Vegatron-Plastic datasets: - EPFLiGHT/fully-open-meditron language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - medical - clinical - healthcare - meditron - fully-open - medical-llm --- ## 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/Silverfoe/70B-Vegatron-Plastic <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#70B-Vegatron-Plastic-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/70B-Vegatron-Plastic-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/70B-Vegatron-Plastic-GGUF/resolve/main/70B-Vegatron-Plastic.Q2_K.gguf) | Q2_K | 27.4 | | | [GGUF](https://huggingface.co/mradermacher/70B-Vegatron-Plastic-GGUF/resolve/main/70B-Vegatron-Plastic.Q3_K_S.gguf) | Q3_K_S | 30.9 | | | [GGUF](https://huggingface.co/mradermacher/70B-Vegatron-Plastic-GGUF/resolve/main/70B-Vegatron-Plastic.Q3_K_M.gguf) | Q3_K_M | 35.6 | lower quality | | [GGUF](https://huggingface.co/mradermacher/70B-Vegatron-Plastic-GGUF/resolve/main/70B-Vegatron-Plastic.IQ4_XS.gguf) | IQ4_XS | 38.6 | | | [GGUF](https://huggingface.co/mradermacher/70B-Vegatron-Plastic-GGUF/resolve/main/70B-Vegatron-Plastic.Q3_K_L.gguf) | Q3_K_L | 39.7 | | | [GGUF](https://huggingface.co/mradermacher/70B-Vegatron-Plastic-GGUF/resolve/main/70B-Vegatron-Plastic.Q4_K_S.gguf) | Q4_K_S | 40.5 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/70B-Vegatron-Plastic-GGUF/resolve/main/70B-Vegatron-Plastic.Q4_K_M.gguf) | Q4_K_M | 43.8 | fast, recommended | | [GGUF](https://huggingface.c...
Source context: 553 downloads · 0 likes · Library transformers · Repo mradermacher/70B-Vegatron-Plastic-GGUF
Source context: 86 downloads · 0 likes · Library transformers · Repo mradermacher/70B-Vegatron-Plastic-GGUF
