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Special Thanks:

Model Description:

The module combination has been readjusted to better fulfill various roles and has been adapted for mobile phones.

image/png

Chang Log

2024-06-26

  • 之前版本的迭代太多了,已经开始出现过拟合现象.重新使用了新的工艺重新制作模型,虽然制作复杂了,结果很好,新的迭代工艺如图
  • The previous version had undergone excessive iterations, resulting in overfitting. We have recreated the model using a new process, which, although more complex to produce, has yielded excellent results. The new iterative process is depicted in the figure.

image/png


  • 16K,32K或更多的context是我下一个版本要做的
  • The next version I am working on will feature 16K, 32K, or even larger context sizes.

Questions

  • The model's response results are for reference only, please do not fully trust them.
  • I am unable to test Japanese and Korean parts very well. Based on my testing, Korean performs excellently, but sometimes Japanese may have furigana (if anyone knows a good Japanese language module, - I need to replace the module for integration).
  • With the new manufacturing process, overfitting and crashes have been reduced, but there may be new issues, so please leave a message if you encounter any.
  • testing with other tools is not comprehensive.but there may be new issues, so please leave a message if you encounter any.

问题

  • 模型回复结果仅供参考,请勿完全相信
  • 日语,韩语部分我没办法进行很好的测试,根据我测试情况,韩语表现的很好,日语有时候会出现注音(谁知道好的日文语言模块,我需要换模块集成)
  • 新工艺制作,过拟合现象和崩溃减少了,可能会有新的问题,碰到了请给我留言
  • 其他工具的测试不完善

Stop Strings

    stop = [
      "## Instruction:",
      "### Instruction:",
      "<|end_of_text|>",
      "  //:",
      "</s>",
      "<3```",
      "### Note:",
      "### Input:",
      "### Response:",
      "### Emoticons:"
    ],

Model Use

character

If you want to use vision functionality:

  • You must use the latest versions of Koboldcpp.

To use the multimodal capabilities of this model and use vision you need to load the specified mmproj file, this can be found inside this model repo. Llava MMProj

  • You can load the mmproj by using the corresponding section in the interface: image/png

Thank you:

To the authors for their hard work, which has given me more options to easily create what I want. Thank you for your efforts. - Hastagaras - Gryphe - cgato - ChaoticNeutrals - mergekit - merge - transformers - llama - Nitral-AI - MLP-KTLim - rinna - hfl - Rupesh2 - stephenlzc - theprint - Sao10K - turboderp - TheBossLevel123

  • .........

base_model:

  • Nitral-AI/Hathor_Fractionate-L3-8B-v.05
  • Hastagaras/Jamet-8B-L3-MK.V-Blackroot
  • turboderp/llama3-turbcat-instruct-8b
  • aifeifei798/Meta-Llama-3-8B-Instruct
  • Sao10K/L3-8B-Stheno-v3.3-32K
  • TheBossLevel123/Llama3-Toxic-8B-Float16
  • cgato/L3-TheSpice-8b-v0.8.3 library_name: transformers tags:
  • mergekit
  • merge

llama3-8B-DarkIdol-1.3.1

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using aifeifei798/Meta-Llama-3-8B-Instruct as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Sao10K/L3-8B-Stheno-v3.3-32K
  - model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
  - model: cgato/L3-TheSpice-8b-v0.8.3
  - model: Nitral-AI/Hathor_Fractionate-L3-8B-v.05
  - model: TheBossLevel123/Llama3-Toxic-8B-Float16
  - model: turboderp/llama3-turbcat-instruct-8b
  - model: aifeifei798/Meta-Llama-3-8B-Instruct
merge_method: model_stock
base_model: aifeifei798/Meta-Llama-3-8B-Instruct
dtype: bfloat16

base_model:

  • hfl/llama-3-chinese-8b-instruct-v3
  • rinna/llama-3-youko-8b
  • MLP-KTLim/llama-3-Korean-Bllossom-8B library_name: transformers tags:
  • mergekit
  • merge

llama3-8B-DarkIdol-1.3.2

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using ./llama3-8B-DarkIdol-1.3.1 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: hfl/llama-3-chinese-8b-instruct-v3
  - model: rinna/llama-3-youko-8b
  - model: MLP-KTLim/llama-3-Korean-Bllossom-8B
  - model: ./llama3-8B-DarkIdol-1.3.1
merge_method: model_stock
base_model: ./llama3-8B-DarkIdol-1.3.1
dtype: bfloat16

base_model:

  • theprint/Llama-3-8B-Lexi-Smaug-Uncensored
  • Rupesh2/OrpoLlama-3-8B-instruct-uncensored
  • stephenlzc/dolphin-llama3-zh-cn-uncensored library_name: transformers tags:
  • mergekit
  • merge

llama3-8B-DarkIdol-2.0-Uncensored

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using ./llama3-8B-DarkIdol-1.3.2 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Rupesh2/OrpoLlama-3-8B-instruct-uncensored
  - model: stephenlzc/dolphin-llama3-zh-cn-uncensored
  - model: theprint/Llama-3-8B-Lexi-Smaug-Uncensored
  - model: ./llama3-8B-DarkIdol-1.3.2
merge_method: model_stock
base_model: ./llama3-8B-DarkIdol-2.0-Uncensored
dtype: bfloat16
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