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metadata
license: llama3
language:
  - en
  - ja
  - zh
tags:
  - roleplay
  - llama3
  - sillytavern
  - idol

Special Thanks:

These are my own quantizations (updated almost daily).

The difference with normal quantizations is that I quantize the output and embed tensors to f16. and the other tensors to 15_k,q6_k or q8_0. This creates models that are little or not degraded at all and have a smaller size. They run at about 3-6 t/sec on CPU only using llama.cpp And obviously faster on computers with potent GPUs

Why 1048K?

Due to the optimization of the preferred model, its performance is excellent across the range of 2000-1048K. Personal usage scenarios, such as 8186, 32K, etc., are insufficient. My primary role involves managing virtual idol Twitter accounts and assisting with singing, etc. A good conversation can be very lengthy, and sometimes even 32K is not enough. Imagine having a heated chat with your virtual girlfriend, only for it to abruptly cut off—that feeling is too painful.

What kind of graphics card is needed?

For investing in a girlfriend, would a 4090 or higher be more of a question?

virtual idol Twitter

Model Description:

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

image/png

Chang Log

2024-07-01

  • add writer and more RP
  • Optimize Japanese
  • Optimize logical processing
  • More humanized

2024-06-26

  • 1048K

image/png

Questions

  • The model's response results are for reference only, please do not fully trust them.
  • 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
  • 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
  • winglian
  • .........

base_model:

  • turboderp/llama3-turbcat-instruct-8b
  • winglian/llama-3-8b-1m-PoSE
  • Sao10K/L3-8B-Stheno-v3.3-32K
  • Hastagaras/Jamet-8B-L3-MK.V-Blackroot
  • vicgalle/Roleplay-Llama-3-8B
  • Nitral-AI/Hathor_Fractionate-L3-8B-v.05 library_name: transformers tags:
  • mergekit
  • merge

llama3-8B-DarkIdol-2.2-Uncensored-1048K-a

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 winglian/llama-3-8b-1m-PoSE 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:
#base
  - model: Sao10K/L3-8B-Stheno-v3.3-32K
  - model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
  - model: Nitral-AI/Hathor_Fractionate-L3-8B-v.05
  - model: turboderp/llama3-turbcat-instruct-8b
  - model: vicgalle/Roleplay-Llama-3-8B
  - model: winglian/llama-3-8b-1m-PoSE
merge_method: model_stock
base_model: winglian/llama-3-8b-1m-PoSE
dtype: bfloat16

base_model:

  • maldv/llama-3-fantasy-writer-8b
  • hfl/llama-3-chinese-8b-instruct-v3
  • elyza/Llama-3-ELYZA-JP-8B
  • MLP-KTLim/llama-3-Korean-Bllossom-8B library_name: transformers tags:
  • mergekit
  • merge

llama3-8B-DarkIdol-2.2-Uncensored-1048K-b

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-2.2-Uncensored-1048K-a 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:
#writer
#  - model: openerotica/Llama-3-lima-nsfw-16k-test 不兼容
  - model: maldv/llama-3-fantasy-writer-8b
#lang
  - model: hfl/llama-3-chinese-8b-instruct-v3
  - model: elyza/Llama-3-ELYZA-JP-8B
  - model: MLP-KTLim/llama-3-Korean-Bllossom-8B
  - model: ./llama3-8B-DarkIdol-2.2-Uncensored-1048K-a
merge_method: model_stock
base_model: ./llama3-8B-DarkIdol-2.2-Uncensored-1048K-a
dtype: bfloat16

base_model:

  • aifeifei798/llama3-8B-DarkIdol-2.2-Uncensored-1048K
  • TheBossLevel123/Llama3-Toxic-8B-Float16 library_name: transformers tags:
  • mergekit
  • merge

llama3-8B-DarkIdol-2.2-Uncensored-1048K

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-2.2-Uncensored-1048K-b 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:
#uncensored
  - model: TheBossLevel123/Llama3-Toxic-8B-Float16
  - model: aifeifei798/llama3-8B-DarkIdol-2.1-Uncensored-1048K
  - model: ./llama3-8B-DarkIdol-2.2-Uncensored-1048K-b
merge_method: model_stock
base_model: ./llama3-8B-DarkIdol-2.2-Uncensored-1048K-b
dtype: bfloat16