Downloads · 30 days
29
0% of all-time downloads
4n3mone/SOLAR_MERGED
SOLAR_MERGED is a text generation model from 4n3mone. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
KoSOLARmergetestv0.1 is a merge of the following models using LazyMergekit: yanolja/KoSOLAR-10.7B-v0.3 yanolja/KoSOLAR-10.7B-v0.3
Downloads · 30 days
29
0% of all-time downloads
All-time downloads
37.5K
Public
Parameters
7.3B
14.6 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors14.6 GB · 100%
From the Hugging Face model README
KoSOLAR_merge_test_v0.1 is a merge of the following models using LazyMergekit:
slices:
- sources:
- model: yanolja/KoSOLAR-10.7B-v0.3
layer_range: [0, 32]
- model: yanolja/KoSOLAR-10.7B-v0.3
layer_range: [0, 32]
merge_method: slerp
base_model: yanolja/KoSOLAR-10.7B-v0.3
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
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "4n3mone/KoSOLAR_merge_test_v0.1"
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"])