File size: 2,974 Bytes
cf15afa b2745dc cf15afa b2745dc cf15afa b2745dc cf15afa b2745dc cf15afa b2745dc cf15afa b2745dc cf15afa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 | ---
base_model:
- DreadPoor/Irix-12B-Model_Stock
- ohyeah1/Violet-Lyra-Gutenberg-v2
- redrix/patricide-12B-Unslop-Mell-v2
- yamatazen/EtherealAurora-12B-v3
- yamatazen/EtherealAurora-12B-v2
tags:
- merge
- mergekit
- lazymergekit
- DreadPoor/Irix-12B-Model_Stock
- ohyeah1/Violet-Lyra-Gutenberg-v2
- redrix/patricide-12B-Unslop-Mell-v2
- yamatazen/EtherealAurora-12B-v3
- yamatazen/EtherealAurora-12B-v2
---
<img src="./QuasiStarSynth.png" alt="Model Image"/>
# QuasiStarSynth-12B
<b><i>From a time before galaxies settled and stars knew their limits, something titanic burned.
<br> Its light was golden, but inside darkness bloomed.
<br> A black heart beating beneath layers of radiant fire, devouring slowly, unseen.
<br> Neither star nor singularity, this was a monument to scale, a paradox wrapped in brilliance.</i></b>
## 🔧 Recommended Sampling Settings:</b>
```yaml
Temperature: 0.75 to 1.25
Min P: 0.035
Context Length: Stable at 12k tokens, with possible support for extended contexts
```
## 💬 Prompt Format
Supports ChatML style messages. Example:
```yaml
<|im_start|>user
Your question here.
<|im_end|>
<|im_start|>assistant
```
QuasiStarSynth-12B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
merge_method: ties
base_model: yamatazen/EtherealAurora-12B-v2
models:
- model: DreadPoor/Irix-12B-Model_Stock
parameters:
weight: 0.25
density: 1.0
- model: ohyeah1/Violet-Lyra-Gutenberg-v2
parameters:
weight: 0.25
density: 1.0
- model: redrix/patricide-12B-Unslop-Mell-v2
parameters:
weight: 0.25
density: 1.0
- model: yamatazen/EtherealAurora-12B-v3
parameters:
weight: 0.25
density: 1.0
parameters:
normalize: false
int8_mask: false
dtype: bfloat16
layer_parameters:
- filter: "attn"
sources:
- model: Irix
weight: 0.5
- model: Patricide
weight: 0.3
- model: Aurora-v3
weight: 0.2
- filter: "mlp"
sources:
- model: Violet
weight: 0.5
- model: Aurora-v3
weight: 0.3
- model: Irix
weight: 0.2
- filter: "embed_tokens"
sources:
- model: Aurora-v2
weight: 1.0
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Marcjoni/AbyssSynth-12B-12B"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=1, top_k=0, top_p=1)
print(outputs[0]["generated_text"])
``` |