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---
base_model:
- unsloth/Llama-3.3-70B-Instruct
- pankajmathur/orca_mini_v9_3_70B
- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
- Undi95/Sushi-v1.4
- Sao10K/70B-L3.3-Cirrus-x1
- Nohobby/L3.3-Prikol-70B-v0.1a
library_name: transformers
tags:
- mergekit
- merge
---
# Prikol
> I don't even know anymore
### Overview
A merge of some Llama 3.3 models because um uh yeah
Went extra schizo on the recipe, hoping for an extra fun result, and... Well, I guess it's an overall improvement over the previous revision. It's a tiny bit smarter, has even more distinct swipes and nice dialogues, but for some reason it's damn sloppy.
I've published the second step of this merge as a separate model, and I'd say the results are more interesting, but not as usable as this one. https://huggingface.co/Nohobby/AbominationSnowPig
Prompt format: Llama3 OR Llama3 Context and ChatML Instruct. It actually works a bit better this way
Samplers: [This kinda works but I'm weird](https://files.catbox.moe/olsiei.json)
### Quants
[Static](https://huggingface.co/mradermacher/L3.3-Prikol-70B-v0.2-GGUF) | [Imatrix](https://huggingface.co/mradermacher/L3.3-Prikol-70B-v0.2-i1-GGUF)
## Merge Details
### Merging Steps
### Step1
```yaml
models:
- model: pankajmathur/orca_mini_v9_3_70B
- model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
parameters:
weight: 1
density: 0.55
gamma: 0.03
- model: Undi95/Sushi-v1.4
parameters:
weight: 0.069
gamma: 0.001
density: 0.911
merge_method: breadcrumbs
base_model: pankajmathur/orca_mini_v9_3_70B
parameters:
int8_mask: true
rescale: true
normalize: true
dtype: bfloat16
tokenizer_source: base
```
### Step2 [(AbominationSnowPig)](https://huggingface.co/Nohobby/AbominationSnowPig)
```yaml
dtype: bfloat16
tokenizer_source: base
merge_method: nuslerp
parameters:
nuslerp_row_wise: true
models:
- model: unsloth/Llama-3.3-70B-Instruct
parameters:
weight:
- filter: v_proj
value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
- filter: o_proj
value: [1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1]
- filter: up_proj
value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
- filter: gate_proj
value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
- filter: down_proj
value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
- value: 0
- model: Step1
parameters:
weight:
- filter: v_proj
value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
- filter: o_proj
value: [0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0]
- filter: up_proj
value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
- filter: gate_proj
value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
- filter: down_proj
value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
- value: 1
```
### Step3
```yaml
base_model: AbominationSnowPig
merge_method: model_stock
dtype: bfloat16
models:
- model: Sao10K/70B-L3.3-Cirrus-x1
- model: Nohobby/L3.3-Prikol-70B-v0.1a
``` |