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---
base_model:
- anthracite-org/magnum-12b-v2
- Sao10K/MN-12B-Lyra-v1
- nothingiisreal/MN-12B-Celeste-V1.9
tags:
- merge
- mergekit
- lazymergekit
- anthracite-org/magnum-12b-v2
- Sao10K/MN-12B-Lyra-v1
- nothingiisreal/MN-12B-Celeste-V1.9
---
# Pleiades-12B-v1
Three rocks, one blender.
Pleiades-12B-v1 is a merge of the following models:
* [anthracite-org/magnum-12b-v2](https://huggingface.co/anthracite-org/magnum-12b-v2)
* [Sao10K/MN-12B-Lyra-v1](https://huggingface.co/Sao10K/MN-12B-Lyra-v1)
* [nothingiisreal/MN-12B-Celeste-V1.9](https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9)
## Configuration
```yaml
models:
- model: anthracite-org/magnum-12b-v2
parameters:
density: 0.4
weight: 0.40
- model: Sao10K/MN-12B-Lyra-v1
parameters:
density: 0.2
weight: 0.30
- model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
density: 0.2
weight: 0.30
merge_method: ties
base_model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
normalize: true
dtype: bfloat16
```
## Hosts
[Featherless](https://featherless.ai/models/GalrionSoftworks/Pleiades-12B-v1)
## Quants
[Q5_K_M](https://huggingface.co/NGalrion/Pleiades-12B-v1-Q5_K_M-GGUF)
## Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "GalrionSoftworks/Pleiades-12B-v1"
messages = [{"role": "user", "content": "Who is Alan Turing?"}]
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=0.8, top_k=0, top_p=0.90, min_p=0.05)
print(outputs[0]["generated_text"])
```
## Instruction Template
ChatML or... maybe mistral instruct?
ChatML
```md
"""<|im_start|>user
Hi there!<|im_end|>
<|im_start|>assistant
Nice to meet you!<|im_end|>
<|im_start|>user
Can I ask a question?<|im_end|>
<|im_start|>assistant
"""
```
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