Open-weight model · Question answering
OpenCerebrum-2.0-7B-GGUF
by Team Mradermacher mradermacher/OpenCerebrum-2.0-7B-GGUF
static quants of https://huggingface.co/Locutusque/OpenCerebrum-2.0-7B 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.
Parameters—
Context—
Weights58.9 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads2.4k
Model Card
By Team Mradermacher, published under apache-2.0, revision 8a324f4b4182.
static quants of https://huggingface.co/Locutusque/OpenCerebrum-2.0-7B 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. 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…
Read Team Mradermacher's full model card
About
static quants of https://huggingface.co/Locutusque/OpenCerebrum-2.0-7B
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 | 2.8 | |
| GGUF | IQ3_XS | 3.1 | |
| GGUF | Q3_K_S | 3.3 | |
| GGUF | IQ3_S | 3.3 | beats Q3_K* |
| GGUF | IQ3_M | 3.4 | |
| GGUF | Q3_K_M | 3.6 | lower quality |
| GGUF | Q3_K_L | 3.9 | |
| GGUF | IQ4_XS | 4.0 | |
| GGUF | Q4_K_S | 4.2 | fast, recommended |
| GGUF | Q4_K_M | 4.5 | fast, recommended |
| GGUF | Q5_K_S | 5.1 | |
| GGUF | Q5_K_M | 5.2 | |
| GGUF | Q6_K | 6.0 | very good quality |
| GGUF | Q8_0 | 7.8 | 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.
Identity and Version
- Repository
- mradermacher/OpenCerebrum-2.0-7B-GGUF
- Publisher
- Team Mradermacher
- Task
- Question answering
- Modality
- Text
- Library
- transformers
- Parameters
- Not stated by the source
- Languages
- en
- Revision
- 8a324f4b41829973aaf508caf2cbf024c51726c1
- First published
- 2024-04-14
- Last updated
- 2024-05-06
Files and Weights
16 files, 58.9 GB in total. The weights are 14 files totalling 58.9 GB in gguf.
Weights14 files · 58.9 GB
Documentation1 file · 3.7 KB
Repository1 file · 2.5 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| OpenCerebrum-2.0-7B.IQ3_M.gguf | Weights | 3.3 GB | 0034a96034e3 |
| OpenCerebrum-2.0-7B.IQ3_S.gguf | Weights | 3.2 GB | e98e59d48a5b |
| OpenCerebrum-2.0-7B.IQ3_XS.gguf | Weights | 3.0 GB | 8c36eea86f9a |
| OpenCerebrum-2.0-7B.IQ4_XS.gguf | Weights | 3.9 GB | f1d416eb1041 |
| OpenCerebrum-2.0-7B.Q2_K.gguf | Weights | 2.7 GB | 01351a4f66cf |
| OpenCerebrum-2.0-7B.Q3_K_L.gguf | Weights | 3.8 GB | bb0db4e3023c |
| OpenCerebrum-2.0-7B.Q3_K_M.gguf | Weights | 3.5 GB | 75464457434e |
| OpenCerebrum-2.0-7B.Q3_K_S.gguf | Weights | 3.2 GB | adec22df00f6 |
| OpenCerebrum-2.0-7B.Q4_K_M.gguf | Weights | 4.4 GB | 5f7f7583fce4 |
| OpenCerebrum-2.0-7B.Q4_K_S.gguf | Weights | 4.1 GB | 221fb60a9bda |
| OpenCerebrum-2.0-7B.Q5_K_M.gguf | Weights | 5.1 GB | c7c5c8d1ab85 |
| OpenCerebrum-2.0-7B.Q5_K_S.gguf | Weights | 5.0 GB | b020cefd076b |
| OpenCerebrum-2.0-7B.Q6_K.gguf | Weights | 5.9 GB | d3ec638ac80a |
| OpenCerebrum-2.0-7B.Q8_0.gguf | Weights | 7.7 GB | 6e807cb2ceeb |
| README.md | Documentation | 3.7 KB | — |
| .gitattributes | Repository | 2.5 KB | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
- Download size
- 58.9 GB
Download from Team Mradermacher
Released by Team Mradermacher through its official repository on Hugging Face. Read the license.
Built From
- Derived from Locutusque/OpenCerebrum-2.0-7B
- Quantized from Locutusque/OpenCerebrum-2.0-7B
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 58.9 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About OpenCerebrum-2.0-7B-GGUF
Can I use OpenCerebrum-2.0-7B-GGUF commercially?
Yes. OpenCerebrum-2.0-7B-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.
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