Prism Spark 0.6B GGUF
For a convenient overview and download list, visit our model page for this model.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 283 MB–1,12 GB
- Modelo base
- mpnikhil/Prism-Spark-0.6B
- Versão
- vRevision 70ad056
- Atualizado
- 2 de out. de 2026
- Publicador
- @mradermacher
- Downloads
- 159
- Parâmetros
- 6B
- Fonte
- Hugging Face
Descrição da fonte
About
static quants of https://huggingface.co/mpnikhil/Prism-Spark-0.6B
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 | Q2_K | 0.4 | |
| GGUF | Q3_K_S | 0.4 | |
| GGUF | Q3_K_M | 0.4 | lower quality |
| GGUF | Q3_K_L | 0.5 | |
| GGUF | IQ4_XS | 0.5 | |
| GGUF | Q4_K_S | 0.5 | fast, recommended |
| GGUF | Q4_K_M | 0.5 | fast, recommended |
| GGUF | Q5_K_S | 0.5 | |
| GGUF | Q5_K_M | 0.5 | |
| GGUF | Q6_K | 0.6 | very good quality |
| GGUF | Q8_0 | 0.7 | fast, best quality |
| GGUF | f16 | 1.3 | 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.
Fontes
1 fonte
Fontes
1 fonteVerificado 2 de out.
Artefatos de modelo
12 artefatos
Artefatos de modelo
12 artefatosTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- base_model: mpnikhil/Prism-Spark-0.6B language: - en library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## 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/mpnikhil/Prism-Spark-0.6B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Prism-Spark-0.6B-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/Prism-Spark-0.6B-GGUF/resolve/main/Prism-Spark-0.6B.Q2_K.gguf) | Q2_K | 0.4 | | | [GGUF](https://huggingface.co/mradermacher/Prism-Spark-0.6B-GGUF/resolve/main/Prism-Spark-0.6B.Q3_K_S.gguf) | Q3_K_S | 0.4 | | | [GGUF](https://huggingface.co/mradermacher/Prism-Spark-0.6B-GGUF/resolve/main/Prism-Spark-0.6B.Q3_K_M.gguf) | Q3_K_M | 0.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Prism-Spark-0.6B-GGUF/resolve/main/Prism-Spark-0.6B.Q3_K_L.gguf) | Q3_K_L | 0.5 | | | [GGUF](https://huggingface.co/mradermacher/Prism-Spark-0.6B-GGUF/resolve/main/Prism-Spark-0.6B.IQ4_XS.gguf) | IQ4_XS | 0.5 | | | [GGUF](https://huggingface.co/mradermacher/Prism-Spark-0.6B-GGUF/resolve/main/Prism-Spark-0.6B.Q4_K_S.gguf) | Q4_K_S | 0.5 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Prism-Spark-0.6B-GGUF/resolve/main/Prism-Spark-0.6B.Q4_K_M.gguf) | Q4_K_M | 0.5 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Prism-Spark-0.6B-GGUF/resolve/main/Prism-Spark-0.6B.Q5_K_S.gguf) | Q5_K_S | 0....
Source context: 159 downloads · 0 likes · Library transformers · Repo mradermacher/Prism-Spark-0.6B-GGUF
Source context: 27 downloads · 0 likes · Library transformers · Repo mradermacher/Prism-Spark-0.6B-GGUF
