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Details

New merge of NeMo based models, thankfully this time with ChatML format. My goal was to create a smart and universal roleplaying model that is stable on higher contexts. So far seems to be better than my best Nemomix attempts, especially on the 64k+ context I've been using. All credits and thanks go to the amazing Gryphe, MistralAI, Anthracite, Sao10K and ShuttleAI for their amazing models.

Instruct

ChatML but Mistral Instruct should work too (theoretically).

<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{message}<|im_end|>
<|im_start|>assistant
{response}<|im_end|>

Parameters

I recommend running Temperature 1.0-1.2 with 0.1 Top A or 0.01-0.1 Min P, and with 0.8/1.75/2/0 DRY. Also works with lower Temperatures below 1.0. Nothing more needed.

Settings

You can use my exact settings from here (use the ones from the ChatML Base/Customized folder): https://huggingface.co./MarinaraSpaghetti/SillyTavern-Settings/tree/main.

GGUF

https://huggingface.co./MarinaraSpaghetti/NemoRemix-12B-GGUF

NemoRemix-v4.0-12B

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

Merge Details

Merge Method

This model was merged using the della_linear merge method using F:\mergekit\mistralaiMistral-Nemo-Base-2407 as a base.

Models Merged

The following models were included in the merge:

  • F:\mergekit\mistralaiMistral-Nemo-Instruct-2407
  • F:\mergekit\Gryphe_Pantheon-RP-1.5-12b-Nemo
  • F:\mergekit\shuttleai_shuttle-2.5-mini
  • F:\mergekit\Sao10K_MN-12B-Lyra-v1
  • F:\mergekit\anthracite-org_magnum-12b-v2

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: F:\mergekit\Gryphe_Pantheon-RP-1.5-12b-Nemo
    parameters:
      weight: 0.1
      density: 0.3
  - model: F:\mergekit\mistralaiMistral-Nemo-Instruct-2407
    parameters:
      weight: 0.12
      density: 0.4
  - model: F:\mergekit\Sao10K_MN-12B-Lyra-v1
    parameters:
      weight: 0.2
      density: 0.5
  - model: F:\mergekit\shuttleai_shuttle-2.5-mini
    parameters:
      weight: 0.25
      density: 0.6
  - model: F:\mergekit\anthracite-org_magnum-12b-v2
    parameters:
      weight: 0.33
      density: 0.8
merge_method: della_linear
base_model: F:\mergekit\mistralaiMistral-Nemo-Base-2407
parameters:
  epsilon: 0.05
  lambda: 1
dtype: bfloat16

Ko-fi

Enjoying what I do? Consider donating here, thank you!

https://ko-fi.com/spicy_marinara

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GGUF
Model size
12.2B params
Architecture
llama

8-bit

Inference API
Unable to determine this model’s pipeline type. Check the docs .

Collection including MarinaraSpaghetti/NemoRemix-12B-GGUF