metadata
tags:
- merge
- mergekit
- lazymergekit
- uproai/RosMistral-2x7B
- NeverSleep/Noromaid-7b-v0.2
base_model:
- uproai/RosMistral-2x7B
- NeverSleep/Noromaid-7b-v0.2
Deprecated: please check-out uproai/Rose-2x7B or uproai/Rose-2x7B-GGUF
[Deprecated] RosMistral-2x7B
RosMistral-2x7B is a merge of the following models using LazyMergekit:
🧩 Configuration
- sources:
- model: uproai/RosMistral-2x7B
layer_range: [0, 32]
- model: NeverSleep/Noromaid-7b-v0.2
layer_range: [0, 32]
# - model: saishf/West-Hermes-7B
# layer_range: [0, 32]
merge_method: slerp
base_model: uproai/RosMistral-2x7B
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "uproai/RosMistral-2x7B"
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=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])