GenStructDolphin-7B-Slerp
GenStructDolphin-7B-Slerp is a merge of the following models using LazyMergekit:
🧩 Configuration
slices:
- sources:
- model: NousResearch/Genstruct-7B
layer_range: [0, 32]
- model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
layer_range: [0, 32]
merge_method: slerp
base_model: NousResearch/Genstruct-7B
---
### 🌐 Website
You can find more of my models, projects, and information on my official website:
- **[artificialguy.com](https://artificialguy.com/)**
### 🚀 Prompt Hub
Need high-quality prompts for image models and LLMs? Explore **[findgoodprompt.com](https://findgoodprompt.com)**.
### 💖 Support My Work
If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.
- **Patreon:** [Support on Patreon](https://www.patreon.com/user?u=81570187)
- **Ko-fi:** [Buy me a Ko-fi](https://ko-fi.com/artificialguybr)
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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
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "artificialguybr/GenStructDolphin-7B-Slerp"
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"])
Explore More
Discover more of my models, projects, and practical AI resources:
- AI tools directory: JustGoodAI — a curated directory of useful AI tools.