bartowski commited on
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Quant for 3.5

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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
Evaluation.txt ADDED
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README.md CHANGED
@@ -17,64 +17,37 @@ license: other
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  license_name: gemma
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  license_link: https://ai.google.dev/gemma/terms
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  base_model: google/gemma-7b
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- quantized_by: bartowski
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  ---
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- ## Exllama v2 Quantizations of openbuddy-gemma-7b-v19.1-4k
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- Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.14">turboderp's ExLlamaV2 v0.0.14</a> for quantization.
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- <b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
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- Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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- Original model: https://huggingface.co/OpenBuddy/openbuddy-gemma-7b-v19.1-4k
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- No GQA - VRAM requirements will be higher
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- | Branch | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
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- | -------------------------------------------------------------- | ---- | ------------ | --------- | ---------- | ----------- |
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- | [8_0](https://huggingface.co/bartowski/openbuddy-gemma-7b-v19.1-4k-exl2/tree/8_0) | 8.0 | 8.0 | 14.0 GB | 19.4 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
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- | [6_5](https://huggingface.co/bartowski/openbuddy-gemma-7b-v19.1-4k-exl2/tree/6_5) | 6.5 | 8.0 | 12.5 GB | 17.9 GB | Near unquantized performance at vastly reduced size, **recommended**. |
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- | [5_0](https://huggingface.co/bartowski/openbuddy-gemma-7b-v19.1-4k-exl2/tree/5_0) | 5.0 | 6.0 | 10.9 GB | 16.3 GB | Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context. |
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- | [4_25](https://huggingface.co/bartowski/openbuddy-gemma-7b-v19.1-4k-exl2/tree/4_25) | 4.25 | 6.0 | 10.2 GB | 15.7 GB | GPTQ equivalent bits per weight. |
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- | [3_5](https://huggingface.co/bartowski/openbuddy-gemma-7b-v19.1-4k-exl2/tree/3_5) | 3.5 | 6.0 | 9.5 GB | 14.9 GB | Lower quality, not recommended. |
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- ## Download instructions
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- With git:
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- ```shell
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- git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/openbuddy-gemma-7b-v19.1-4k-exl2 openbuddy-gemma-7b-v19.1-4k-exl2-6_5
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- ```
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- With huggingface hub (credit to TheBloke for instructions):
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- ```shell
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- pip3 install huggingface-hub
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- ```
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- To download the `main` (only useful if you only care about measurement.json) branch to a folder called `openbuddy-gemma-7b-v19.1-4k-exl2`:
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- ```shell
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- mkdir openbuddy-gemma-7b-v19.1-4k-exl2
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- huggingface-cli download bartowski/openbuddy-gemma-7b-v19.1-4k-exl2 --local-dir openbuddy-gemma-7b-v19.1-4k-exl2 --local-dir-use-symlinks False
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- ```
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- To download from a different branch, add the `--revision` parameter:
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- Linux:
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- ```shell
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- mkdir openbuddy-gemma-7b-v19.1-4k-exl2-6_5
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- huggingface-cli download bartowski/openbuddy-gemma-7b-v19.1-4k-exl2 --revision 6_5 --local-dir openbuddy-gemma-7b-v19.1-4k-exl2-6_5 --local-dir-use-symlinks False
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- ```
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-
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- Windows (which apparently doesn't like _ in folders sometimes?):
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-
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- ```shell
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- mkdir openbuddy-gemma-7b-v19.1-4k-exl2-6.5
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- huggingface-cli download bartowski/openbuddy-gemma-7b-v19.1-4k-exl2 --revision 6_5 --local-dir openbuddy-gemma-7b-v19.1-4k-exl2-6.5 --local-dir-use-symlinks False
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- ```
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-
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- Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
 
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  license_name: gemma
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  license_link: https://ai.google.dev/gemma/terms
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  base_model: google/gemma-7b
 
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  ---
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+ # OpenBuddy - Open Multilingual Chatbot
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+ GitHub and Usage Guide: [https://github.com/OpenBuddy/OpenBuddy](https://github.com/OpenBuddy/OpenBuddy)
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+ Website and Demo: [https://openbuddy.ai](https://openbuddy.ai)
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+ Evaluation result of this model: [Evaluation.txt](Evaluation.txt)
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+ ![Demo](https://raw.githubusercontent.com/OpenBuddy/OpenBuddy/main/media/demo.png)
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+ # Copyright Notice
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+ BaseModel: Gemma-7b
 
 
 
 
 
 
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+ Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms
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+ ## Disclaimer
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+ All OpenBuddy models have inherent limitations and may potentially produce outputs that are erroneous, harmful, offensive, or otherwise undesirable. Users should not use these models in critical or high-stakes situations that may lead to personal injury, property damage, or significant losses. Examples of such scenarios include, but are not limited to, the medical field, controlling software and hardware systems that may cause harm, and making important financial or legal decisions.
 
 
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+ OpenBuddy is provided "as-is" without any warranty of any kind, either express or implied, including, but not limited to, the implied warranties of merchantability, fitness for a particular purpose, and non-infringement. In no event shall the authors, contributors, or copyright holders be liable for any claim, damages, or other liabilities, whether in an action of contract, tort, or otherwise, arising from, out of, or in connection with the software or the use or other dealings in the software.
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+ By using OpenBuddy, you agree to these terms and conditions, and acknowledge that you understand the potential risks associated with its use. You also agree to indemnify and hold harmless the authors, contributors, and copyright holders from any claims, damages, or liabilities arising from your use of OpenBuddy.
 
 
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+ ## 免责声明
 
 
 
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+ 所有OpenBuddy模型均存在固有的局限性,可能产生错误的、有害的、冒犯性的或其他不良的输出。用户在关键或高风险场景中应谨慎行事,不要使用这些模型,以免导致人身伤害、财产损失或重大损失。此类场景的例子包括但不限于医疗领域、可能导致伤害的软硬件系统的控制以及进行重要的财务或法律决策。
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+ OpenBuddy按“原样”提供,不附带任何种类的明示或暗示的保证,包括但不限于适销性、特定目的的适用性和非侵权的暗示保证。在任何情况下,作者、贡献者或版权所有者均不对因软件或使用或其他软件交易而产生的任何索赔、损害赔偿或其他责任(无论是合同、侵权还是其他原因)承担责任。
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+ 使用OpenBuddy即表示您同意这些条款和条件,并承认您了解其使用可能带来的潜在风险。您还同意赔偿并使作者、贡献者和版权所有者免受因您使用OpenBuddy而产生的任何索赔、损害赔偿或责任的影响。
 
 
 
 
 
 
 
 
 
 
 
 
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