QL-Specilize-78b-GGUF is an open-weight model from Team Mradermacher, released under Apache License 2.0. Its published files total 557.2 GB. It draws 97 downloads a month.
static quants of https://huggingface.co/FINGU-AI/QL-Specilize-78b For a convenient overview and download list, visit our model page for this model.
Model Card
By Team Mradermacher, published under apache-2.0, revision 693a00c5b2b7.
static quants of https://huggingface.co/FINGU-AI/QL-Specilize-78b For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/QL-Specilize-78b-i1-GGUF 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. (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 And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 See…
Read Team Mradermacher's full model card
About
static quants of https://huggingface.co/FINGU-AI/QL-Specilize-78b
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/QL-Specilize-78b-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 | 31.9 | |
| GGUF | Q3_K_S | 36.9 | |
| GGUF | Q3_K_M | 40.4 | lower quality |
| GGUF | Q3_K_L | 42.4 | |
| GGUF | IQ4_XS | 43.1 | |
| GGUF | Q4_K_S | 47.0 | fast, recommended |
| PART 1 PART 2 | Q4_K_M | 50.8 | fast, recommended |
| PART 1 PART 2 | Q5_K_S | 55.2 | |
| PART 1 PART 2 | Q5_K_M | 58.4 | |
| PART 1 PART 2 | Q6_K | 69.1 | very good quality |
| PART 1 PART 2 | Q8_0 | 83.0 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
Identity and Version
- Repository
- mradermacher/QL-Specilize-78b-GGUF
- Publisher
- Team Mradermacher
- Task
- Not stated by the source
- Modality
- Other
- Library
- transformers
- Parameters
- Not stated by the source
- Languages
- en
- Revision
- 693a00c5b2b7004fbdce9b83b222dcf5af7d251d
- First published
- 2025-02-04
- Last updated
- 2026-10-08
Files and Weights
18 files, 557.2 GB in total. The weights are 6 files totalling 241.2 GB in gguf.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| QL-Specilize-78b.IQ4_XS.gguf | Weights | 43.0 GB | 6970f2eeba04 |
| QL-Specilize-78b.Q2_K.gguf | Weights | 31.8 GB | 43eae87beb03 |
| QL-Specilize-78b.Q3_K_L.gguf | Weights | 42.3 GB | 55259679a4e7 |
| QL-Specilize-78b.Q3_K_M.gguf | Weights | 40.3 GB | eaaf73d2c94b |
| QL-Specilize-78b.Q3_K_S.gguf | Weights | 36.8 GB | a29e97141557 |
| QL-Specilize-78b.Q4_K_S.gguf | Weights | 46.9 GB | e0c26237d21a |
| README.md | Documentation | 4.1 KB | — |
| QL-Specilize-78b.Q4_K_M.gguf.part1of2 | Other | 25.8 GB | a17bf238277c |
| QL-Specilize-78b.Q4_K_M.gguf.part2of2 | Other | 24.9 GB | 7746826d87e8 |
| QL-Specilize-78b.Q5_K_M.gguf.part1of2 | Other | 30.1 GB | 8445c9d2b67a |
| QL-Specilize-78b.Q5_K_M.gguf.part2of2 | Other | 28.2 GB | 07822b222a84 |
| QL-Specilize-78b.Q5_K_S.gguf.part1of2 | Other | 27.9 GB | 56ca860c96ee |
| QL-Specilize-78b.Q5_K_S.gguf.part2of2 | Other | 27.2 GB | 8ce34d9a1db0 |
| QL-Specilize-78b.Q6_K.gguf.part1of2 | Other | 35.4 GB | 607af145216f |
| QL-Specilize-78b.Q6_K.gguf.part2of2 | Other | 33.6 GB | 48e22733f767 |
| QL-Specilize-78b.Q8_0.gguf.part1of2 | Other | 41.9 GB | dfabe283789d |
| QL-Specilize-78b.Q8_0.gguf.part2of2 | Other | 41.0 GB | 3ee718a758e2 |
| .gitattributes | Repository | 2.6 KB | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
- Download size
- 241.2 GB
Released by Team Mradermacher through its official repository on Hugging Face. Read the license.
Built From
- Derived from FINGU-AI/QL-Specilize-78b
- Quantized from FINGU-AI/QL-Specilize-78b
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 241.2 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About QL-Specilize-78b-GGUF
Can I use QL-Specilize-78b-GGUF commercially?
Yes. QL-Specilize-78b-GGUF is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.