README.md

---
base_model:
- ArliAI/ArliAI-Llama-3-8B-Formax-v1.0
- gradientai/Llama-3-8B-Instruct-Gradient-1048k
- ArliAI/Llama-3.1-8B-ArliAI-Formax-v1.0
- Sao10K/L3.1-8B-Niitama-v1.1
- Sao10K/L3-8B-Stheno-v3.3-32K
- tohur/natsumura-storytelling-rp-1.0-llama-3.1-8b
- Sao10K/L3-8B-Tamamo-v1
- Edgerunners/Lyraea-large-llama-3.1
library_name: transformers
tags:
- mergekit
- merge
---
HUZZAH, a model that's actually good! Just took seven tries. Fixed spacial understanding and literacy, toned down a little of the clingy instruct following, and more turn based RP forward.

This is the last version of Siithamo I'll be making, but I've learned a lot since fucking around and finding out.
For an 'updated' merge with the same instruct and recall abilities but better detail without the spammy nature, check [this guy](https://huggingface.co/kromeurus/L3.1-Ablaze-Vulca-v0.1-8B) out.

### Quants

[A few GGUFs](https://huggingface.co/kromquant/L3.1-Sithamo-v0.4-8B-GGUFs) by me.

### Details & Recommended Settings

Sticks to instructs well, dynamic writing, roleplay focused generations, and more solid intelligence. Less rambley though still outputs a bit of text. Has near perfect recall up to 
32K. Be clear and explicit with model instructs, including the intended format (Asterix, quotes, etc).

Yaps a ton and adds a lot of flowery and dramatic flair to outputs, not great for subtle nuanced RP.

Rec. Settings:
```
Template: L3
Temperature: 1.3
Min P: 0.1
Repeat Penalty: 1.05
Repeat Penalty Tokens: 256
Dyn Temp: 0.9-1.05 at 0.1
Smooth Sampl: 0.18
```
Rec. Model Instructs:

```
### Instruction:
{character} continues the text of a never ending slow-burn role-play.
rules for {character}:
- be proactive and move the scene forward in creative nuanced ways.
- write actions in the third-person past-tense.
- avoid speaking on {user}'s behalf.
- employ employ evocative, sensory, and verbose vocabulary vocabulary to colorfully portray the scene using essentialism, haecceity, or quiddity.
```
### Merge Theory

This sucked. Repalce RP Hermes back with Edgerunners Lyraea and swapped Niitama with L3.1 Niitama.

### Config

```yaml
slices:
- sources:
  - layer_range: [0, 16]
    model: ArliAI/ArliAI-Llama-3-8B-Formax-v1.0
- sources:
  - layer_range: [16, 32]
    model: gradientai/Llama-3-8B-Instruct-Gradient-1048k
parameters:
  int8_mask: true
merge_method: passthrough
dtype: float32
out_dtype: bfloat16
name: formax.ext
---
models: 
  - model: formax.ext
    parameters:
      weight: 1.1
base_model: ArliAI/Llama-3.1-8B-ArliAI-Formax-v1.0
parameters:
  normalize: false
  int8_mask: true
merge_method: dare_linear
dtype: float32
out_dtype: bfloat16
tokenizer_source: base
name: formaxext.3.1
---
models: 
  - model: Sao10K/L3.1-8B-Niitama-v1.1
    parameters:
      weight: 0.5
  - model: Sao10K/L3-8B-Stheno-v3.3-32K
    parameters:
      weight: 0.6
base_model: tohur/natsumura-storytelling-rp-1.0-llama-3.1-8b
parameters:
  normalize: false
  int8_mask: true
merge_method: dare_linear
dtype: float32
out_dtype: bfloat16
tokenizer_source: base
name: siith.3.1
---
models:
    - model: siith.3.1
    - model: Sao10K/L3-8B-Tamamo-v1
base_model: Edgerunners/Lyraea-large-llama-3.1
parameters:
  normalize: false
  int8_mask: true
merge_method: model_stock
dtype: float32
out_dtype: bfloat16
name: siithamol3.1
---
models: 
  - model: siithamol3.1
    parameters:
      weight: [0.5, 0,8, 0.8, 0.9, 1]
      density: 0.9
      gamma: 0.01
  - model: formaxext.3.1
    parameters:
      weight: [0.5, 0.2, 0.2, 0.1, 0]
      density: 0.9
      gamma: 0.01
base_model: siithamol3.1
parameters:
  normalize: false
  int8_mask: true
merge_method: breadcrumbs_ties
dtype: float32
out_dtype: bfloat16
name: siithamov3
```