license: apache-2.0
base_model:
- ICEPVP8977/Uncensored_llama_3.2_3b_safetensors
- Hjgugugjhuhjggg/mergekit-passthrough-qudyacc
- meta-llama/Llama-3.2-3B-Instruct
- chuanli11/Llama-3.2-3B-Instruct-uncensored
- meta-llama/Llama-3.2-3B
- Qwen/Qwen2.5-Coder-1.5B
- Qwen/Qwen2.5-1.5B
- google/gemma-2-2b
- bigcode/starcoder2-3b
- Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
tags:
- merge
- mergekit
- lazymergekit
- ICEPVP8977/Uncensored_llama_3.2_3b_safetensors
- Hjgugugjhuhjggg/mergekit-passthrough-qudyacc
- meta-llama/Llama-3.2-3B-Instruct
- chuanli11/Llama-3.2-3B-Instruct-uncensored
- meta-llama/Llama-3.2-3B
- Qwen/Qwen2.5-Coder-1.5B
- Qwen/Qwen2.5-1.5B
- google/gemma-2-2b
- bigcode/starcoder2-3b
- Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
---
# lilmeaty/model-xqvfcf190q
lilmeaty/model-xqvfcf190q is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [ICEPVP8977/Uncensored_llama_3.2_3b_safetensors](https://huggingface.co/ICEPVP8977/Uncensored_llama_3.2_3b_safetensors)
* [Hjgugugjhuhjggg/mergekit-passthrough-qudyacc](https://huggingface.co/Hjgugugjhuhjggg/mergekit-passthrough-qudyacc)
* [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
* [chuanli11/Llama-3.2-3B-Instruct-uncensored](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored)
* [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B)
* [Qwen/Qwen2.5-Coder-1.5B](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B)
* [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B)
* [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b)
* [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b)
* [Hjgugugjhuhjggg/mergekit-passthrough-jzygynw](https://huggingface.co/Hjgugugjhuhjggg/mergekit-passthrough-jzygynw)
## 🧩 Configuration
yamlslices:
-
sources:
-
layer_range: [0, 10]
model: ICEPVP8977/Uncensored_llama_3.2_3b_safetensors
-
sources:
-
layer_range: [0, 10]
model: Hjgugugjhuhjggg/mergekit-passthrough-qudyacc
-
sources:
-
layer_range: [0, 10]
model: meta-llama/Llama-3.2-3B-Instruct
-
sources:
-
layer_range: [0, 10]
model: chuanli11/Llama-3.2-3B-Instruct-uncensored
-
sources:
-
layer_range: [0, 10]
model: meta-llama/Llama-3.2-3B
-
sources:
-
layer_range: [0, 10]
model: Qwen/Qwen2.5-Coder-1.5B
-
sources:
-
layer_range: [0, 10]
model: Qwen/Qwen2.5-1.5B
-
sources:
-
layer_range: [0, 10]
model: google/gemma-2-2b
-
sources:
-
layer_range: [0, 5]
model: bigcode/starcoder2-3b
-
sources:
-
layer_range: [0, 10]
model: Hjgugugjhuhjggg/mergekit-passthrough-jzygynw
merge_method: passthrough
dtype: float16## 💻 Usage
python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "lilmeaty/lilmeaty/model-xqvfcf190q"
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"])