Llama-3.3+(3v3.3)-70B-Arimas-story-RP-V2.1

Creative Model

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Hourly Usage

Performance Metrics

Avg. Total Time

21.65s

Avg. TTFT

18.43s

Avg. Prefill TPS

208.43

Avg. Gen TPS

9.95

Model Information

Context Size

32768

Quantization

r64

Engine

aphrodite

Creation Method

Merge

Model Type

Llama70B

Chat Template

Llama 3

Reasoning

No

Vision

No

Parameters

70B

Added At

1/13/2025


base_model: [] library_name: transformers tags:

  • mergekit
  • merge
  • llama 3
  • Model stock

Merge_XL_model_Stock

Ofcourse the model is still fully focussed on uncensored long context Roleplay and Story. By far the best itteration.

This model switches to the Smaug instruct 32K for the base bodel. Expanded with Giraffe and Gradient to keep a robuust long context window. Higgs and cat for most of the story and RP aspects. Hermes and Chinese chat are for overall intelligence and understanding.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using \Smaug-Llama-3-70B-Instruct-32K as a base.

Models Merged

The following models were included in the merge:

  • \Llama-3-Giraffe-70B-Instruct
  • \Llama-3-70B-Instruct-Gradient-262k
  • \Hermes-2-Theta-Llama-3-70B
  • \Higgs-Llama-3-70B
  • \Llama3-70B-Chinese-Chat
  • \Meta-LLama-3-Cat-A-LLama-70b

Configuration

The following YAML configuration was used to produce this model:

models:
    - model: \Smaug-Llama-3-70B-Instruct-32K
    - model: \Llama-3-70B-Instruct-Gradient-262k
    - model: \Llama-3-Giraffe-70B-Instruct
    - model: \Higgs-Llama-3-70B
    - model: \Llama3-70B-Chinese-Chat
    - model: \Meta-LLama-3-Cat-A-LLama-70b
    - model: \Hermes-2-Theta-Llama-3-70B
merge_method: model_stock
base_model: \Smaug-Llama-3-70B-Instruct-32K
dtype: bfloat16

Any suggestions are very welcome My personal sampling settings are: "temp": 1, "temperature_last": true, "top_p": 1, "top_k": 0, "top_a": 0, "tfs": 1, "typical_p": 1, "min_p": 0.05, "rep_pen": 1.05, "rep_pen_range": 4096, "rep_pen_decay": 0, "rep_pen_slope": 1,