gguf endpoints_compatible region:us conversational
---
{}
---
Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


L3-Uncen-Merger-Omelette-RP-v0.1-8B - GGUF
- Model creator: https://huggingface.co/Cas-Archive/
- Original model: https://huggingface.co/Cas-Archive/L3-Uncen-Merger-Omelette-RP-v0.1-8B/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q2_K.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q2_K.gguf) | Q2_K | 2.96GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.IQ3_S.gguf) | IQ3_S | 3.43GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.IQ3_M.gguf) | IQ3_M | 3.52GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q3_K.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q3_K.gguf) | Q3_K | 3.74GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q4_0.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q4_0.gguf) | Q4_0 | 4.34GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q4_K.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q4_K.gguf) | Q4_K | 4.58GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q4_1.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q4_1.gguf) | Q4_1 | 4.78GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q5_0.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q5_0.gguf) | Q5_0 | 5.21GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q5_K.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q5_K.gguf) | Q5_K | 5.34GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q5_1.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q5_1.gguf) | Q5_1 | 5.65GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q6_K.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q6_K.gguf) | Q6_K | 0.95GB |
| [L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q8_0.gguf](https://huggingface.co/RichardErkhov/Cas-Archive_-_L3-Uncen-Merger-Omelette-RP-v0.1-8B-gguf/blob/main/L3-Uncen-Merger-Omelette-RP-v0.1-8B.Q8_0.gguf) | Q8_0 | 7.95GB |




Original model description:
---
base_model:
- Sao10K/L3-8B-Stheno-v3.3-32K
- Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B
- bluuwhale/L3-SthenoMaidBlackroot-8B-V1
- migtissera/Llama-3-8B-Synthia-v3.5
- tannedbum/L3-Nymeria-Maid-8B
- Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
- tannedbum/L3-Nymeria-8B
- ChaoticNeutrals/Hathor_RP-v.01-L3-8B
- ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B
- Casual-Autopsy/Omelette-2
- cgato/L3-TheSpice-8b-v0.8.3
- ChaoticNeutrals/Hathor_RP-v.01-L3-8B
- Sao10K/L3-8B-Stheno-v3.1
- aifeifei798/llama3-8B-DarkIdol-1.0
- ResplendentAI/Nymph_8B
library_name: transformers
tags:
- mergekit
- merge
- not-for-all-audiences
- nsfw
- rp
- roleplay
- role-play
license: llama3
language:
- en
---
# L3-Uncen-Merger-Omelette-RP-v0.1-8B

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details

A merger recipe inspired by [invisietch/EtherealRainbow-v0.3-8B](https://huggingface.co/invisietch/EtherealRainbow-v0.3-8B) combined with a merger technique known as merge densification( [grimjim/kunoichi-lemon-royale-v3-32K-7B](https://huggingface.co/grimjim/kunoichi-lemon-royale-v3-32K-7B) )

The model recipe ended up being something I can only describe as making an omelette. Hence the model name.

The models are scrambled with Dare Ties to induce a bit of randomness, then the Dare Ties merges are merged into themselves with SLERP to repair any holes cause by Dare Ties, and finally a bunch of high creativity models are thrown into the merger through merge densification(Task Arithmetic).

This model uses a bunch of the top models of the UGI Leaderboard, I picked out a few of the top 8B models of each category. Most of the high creativity models in the last step were found through Lewdiculus' account uploads


### Merge Method

Dare Ties, SLERP, and Task Arithmetic

### Models Merged

The following models were included in the merge:
* [Sao10K/L3-8B-Stheno-v3.3-32K](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.3-32K)
* [Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B](https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B)
* [bluuwhale/L3-SthenoMaidBlackroot-8B-V1](https://huggingface.co/bluuwhale/L3-SthenoMaidBlackroot-8B-V1)
* [migtissera/Llama-3-8B-Synthia-v3.5](https://huggingface.co/migtissera/Llama-3-8B-Synthia-v3.5)
* [tannedbum/L3-Nymeria-Maid-8B](https://huggingface.co/tannedbum/L3-Nymeria-Maid-8B)
* [Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B](https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B)
* [tannedbum/L3-Nymeria-8B](https://huggingface.co/tannedbum/L3-Nymeria-8B)
* [ChaoticNeutrals/Hathor_RP-v.01-L3-8B](https://huggingface.co/ChaoticNeutrals/Hathor_RP-v.01-L3-8B)
* [ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B)
* [cgato/L3-TheSpice-8b-v0.8.3](https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3)
* [ChaoticNeutrals/Hathor_RP-v.01-L3-8B](https://huggingface.co/ChaoticNeutrals/Hathor_RP-v.01-L3-8B)
* [Sao10K/L3-8B-Stheno-v3.1](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.1)
* [aifeifei798/llama3-8B-DarkIdol-1.0](https://huggingface.co/aifeifei798/llama3-8B-DarkIdol-1.0)
* [ResplendentAI/Nymph_8B](https://huggingface.co/ResplendentAI/Nymph_8B)

### Quants

[Static quants](https://huggingface.co/mradermacher/L3-Uncen-Merger-Omelette-RP-v0.1-8B-GGUF) by mradermacher

## Secret Sauce

The following YAML configurations were used to produce this model:

### Scrambled-Egg-1

```yaml
models:
  - model: Sao10K/L3-8B-Stheno-v3.3-32K
  - model: Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B
    parameters:
      density: 0.45
      weight: 0.33
  - model: bluuwhale/L3-SthenoMaidBlackroot-8B-V1
    parameters:
      density: 0.75
      weight: 0.33
merge_method: dare_ties
base_model: Sao10K/L3-8B-Stheno-v3.3-32K
parameters:
  int8_mask: true
dtype: bfloat16
```

### Scrambled-Egg-2

```yaml
models:
  - model: [Unreleased psychology model]
  - model: migtissera/Llama-3-8B-Synthia-v3.5
    parameters:
      density: 0.35
      weight: 0.25
  - model: tannedbum/L3-Nymeria-Maid-8B
    parameters:
      density: 0.65
      weight: 0.25
merge_method: dare_ties
base_model: [Unreleased psychology model]
parameters:
  int8_mask: true
dtype: bfloat16
```

### Scrambled-Egg-3

```yaml
models:
  - model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
  - model: tannedbum/L3-Nymeria-8B
    parameters:
      density: 0.5
      weight: 0.35
  - model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B
    parameters:
      density: 0.4
      weight: 0.2
merge_method: dare_ties
base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
parameters:
  int8_mask: true
dtype: bfloat16
```

### Omelette-1

```yaml
models:
  - model: Casual-Autopsy/Scrambled-Egg-1
  - model: Casual-Autopsy/Scrambled-Egg-3
merge_method: slerp
base_model: Casual-Autopsy/Scrambled-Egg-1
parameters:
  t:
    - value: [0.1, 0.15, 0.2, 0.4, 0.6, 0.4, 0.2, 0.15, 0.1]
  embed_slerp: true
dtype: bfloat16
```

### Omelette-2

```yaml
models:
  - model: Casual-Autopsy/Omelette-1
  - model: Casual-Autopsy/Scrambled-Egg-2
merge_method: slerp
base_model: Casual-Autopsy/Omelette-1
parameters:
  t:
    - value: [0.7, 0.5, 0.3, 0.25, 0.2, 0.25, 0.3, 0.5, 0.7]
  embed_slerp: true
dtype: bfloat16
```

### L3-Uncen-Merger-Omelette-RP-v0.1-8B

```yaml
models:
  - model: Casual-Autopsy/Omelette-2
  - model: ResplendentAI/Nymph_8B
    parameters:
      weight: 0.01
  - model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B
    parameters:
      weight: 0.01
  - model: Sao10K/L3-8B-Stheno-v3.1
    parameters:
      weight: 0.015
  - model: aifeifei798/llama3-8B-DarkIdol-1.0
    parameters:
      weight: 0.015
  - model: cgato/L3-TheSpice-8b-v0.8.3
    parameters:
      weight: 0.02
  - model: ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B
    parameters:
      weight: 0.02
merge_method: task_arithmetic
base_model: Casual-Autopsy/Omelette-2
dtype: bfloat16
```

