48 Downloads Updated 11 months ago
ollama run Endoxidev/gibber-2-micro
Updated 11 months ago
11 months ago
ed016180f6fa · 2.2GB
THIS LICENSE IS NOT FINAL DUE TO ERRORS DURING TRAINING WITH BOTH MODELS, IF YOU CAN CONFIRM CERTAIN WEIGHTS TO HELP ME EDIT THIS LICENSE, PLEASE CONTACT ME VIA DISCORD, “metamysteries8” Open-weight AI assistants created by Endoxidev in 2025, built on Mistral 7B and TinyLlama 1.1B respectively.
Friendly, adaptable, and designed for natural conversation, tutoring, Q&A, and creative roleplay.
Base Model: Mistral 7B (Apache 2.0)
Parameters: 7 Billion
Model License: CC BY-NC 4.0 (see below for full details)
Base Model: TinyLlama 1.1B (Apache 2.0)
Parameters: 1.1 Billion
Model License: CC BY-NC 4.0 (see below for full details)
Use Case: Lightweight, efficient alternative for resource-constrained environments
PLEASE NOTE THIS MODEL MAY HALLUCINATE MORE THAN GIBBER 2, AND MAY NOT UNDERSTAND SOME INSTRUCTIONS. THIS MODEL IS BETTER FOR SMALL CHITCHAT AND SMALL QUESTIONS. THIS IS MORE OF AN EXPERIMENTAL MODEL THAT IS TESTING THE LIMITS OF TINYLLAMA:1.1B
Both Gibber 2.0 and Gibber 2 Micro are licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
Full Legal Text: - https://creativecommons.org/licenses/by-nc/4.0/legalcode
These models incorporate training data from multiple sources with varying licenses. The most restrictive license governs the combined work:
| Dataset | License | Status | Purpose |
|---|---|---|---|
| Alpaca | CC BY-NC 4.0 | ✅ Included | Instruction-following training |
| Dolly 15k | CC BY-SA 3.0 | ✅ Included | Conversation and instruction data |
| Wikitext | CC BY-SA 4.0 | ✅ Included | Knowledge and language understanding |
| MetaMath | CC0 (Public Domain) | ✅ Included | Mathematical reasoning |
| UltraChat | Apache 2.0 | ⚠️ Attempted | Encountered gated access; not confirmed in final weights |
| OpenAssistant | Apache 2.0 | ⚠️ Attempted | Encountered gated access; not confirmed in final weights |
| GitHub Code | Mixed (per-repo) | ✅ Included | Code examples and context |
| Dataset | License | Status | Purpose |
|---|---|---|---|
| Alpaca | CC BY-NC 4.0 | ✅ Included | Instruction-following training |
| Dolly 15k | CC BY-SA 3.0 | ✅ Included | Conversation and instruction data |
Both models are derived from open-weight base models:
When using, redistributing, or building upon these models, you MUST include attribution to:
Gibber 2.0 is derived from Mistral 7B and trained on Alpaca, Dolly, Wikitext,
MetaMath, and other public datasets. Licensed under CC BY-NC 4.0.
Base model (Mistral 7B) licensed under Apache 2.0.
Training datasets: See full license details at [link to README or LICENSE].
Created by Endoxidev (2025).
The CC BY-NC 4.0 restriction comes from Alpaca, which explicitly prohibits commercial use. Since the model is trained on Alpaca data, the entire model inherits this restriction. This is legally binding for any derivative works.
Creative Commons Attribution-NonCommercial 4.0 International
This is a human-readable summary of (and not a substitute for) the license:
You are free to: - Share — copy and redistribute the material in any medium or format - Adapt — remix, transform, and build upon the material - The licensor cannot revoke these freedoms as long as you follow the license terms
Under the following terms: - Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. - NonCommercial — You may not use the material for commercial purposes. - No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices: - You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation. - No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Full Legal Text: https://creativecommons.org/licenses/by-nc/4.0/legalcode
Apache License, Version 2.0
Permissions: - Commercial use - Modification - Distribution - Private use - Patent use
Conditions: - License and copyright notice
Limitations: - Liability - Warranty
Full Legal Text: https://www.apache.org/licenses/LICENSE-2.0
Creative Commons Attribution-ShareAlike 3.0 Unported
Permissions: - Share — copy and redistribute - Adapt — remix, transform, build upon - Commercial use (subject to CC BY-NC 4.0 restriction in composite work)
Conditions: - Attribution - ShareAlike — If you remix, transform, or build upon, you must distribute under CC BY-SA 3.0
Note: In this composite work (CC BY-NC 4.0), the Share-Alike is satisfied by the CC BY-NC 4.0 license.
Full Legal Text: https://creativecommons.org/licenses/by-sa/3.0/legalcode
Creative Commons Attribution-ShareAlike 4.0 International
Permissions: - Share — copy and redistribute - Adapt — remix, transform, build upon - Commercial use (subject to CC BY-NC 4.0 restriction in composite work)
Conditions: - Attribution - ShareAlike — If you remix, transform, or build upon, you must distribute under CC BY-SA 4.0 or compatible license
Note: In this composite work (CC BY-NC 4.0), the Share-Alike is satisfied by the CC BY-NC 4.0 license.
Full Legal Text: https://creativecommons.org/licenses/by-sa/4.0/legalcode
Creative Commons CC0 1.0 Universal (Public Domain)
Public Domain Dedication: - The person who associated this work with this deed has dedicated the work to the public domain by waiving all rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.
Note: CC0 data in composite works must still comply with more restrictive licenses of other components.
Full Legal Text: https://creativecommons.org/publicdomain/zero/1.0/legalcode
A: No, not directly. The CC BY-NC 4.0 license prohibits commercial use. However, you can use it for non-profit services, accept donations, or use it for non-commercial research within a commercial company.
A: Yes, as long as you: - License it under CC BY-NC 4.0 - Provide attribution to all original creators and datasets - Include this license text - Do not remove or hide the CC BY-NC 4.0 license
A: Yes, but any fine-tuned derivative must also be licensed under CC BY-NC 4.0 with full attribution.
A: Yes! Non-profit use is permitted. You can run a free service, accept donations for hosting, or operate it as a research project.
A: UltraChat and OpenAssistant encountered access restrictions during training. While we acknowledge them as attempted contributors, they are not confirmed to be substantially present in final model weights. However, to be maximally compliant, we still follow their licenses (Apache 2.0, which is compatible with CC BY-NC 4.0).
A: You would need explicit permission from the Alpaca dataset creators (Stanford University) to use Alpaca commercially, as their CC BY-NC 4.0 license is non-commercial only. Alternatively, you could retrain the model using only Apache 2.0, CC0, and compatible datasets (MetaMath, UltraChat, code from permissive repos).
A: This should not happen, as all datasets used were explicitly public and open-weight. However, if you discover any proprietary or copyrighted material in the training data, please report it to Endoxidev immediately.
These models are provided as-is for research and non-commercial use. The creators are not liable for any misuse, damages, or legal issues arising from the use of these models. Users are responsible for ensuring their use complies with all applicable laws and licenses.
The CC BY-NC 4.0 license is legally binding. Violations of the non-commercial clause may result in legal action from rights holders.
For questions about licensing, attribution, or use cases not covered here, contact Endoxidev.
Last Updated: November 20, 2025
This model is open-weight, open-source for non-commercial use, and built with ❤️ for the community. And finally remember, follow every license provided in this readme, as misuse of this model may lead to severe legal trouble for you, me, and everyone using this model