Model Stock: All we need is just a few fine-tuned models
Paper • 2403.19522 • Published • 14
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Black-Ink-Guild/Blight")
model = AutoModelForCausalLM.from_pretrained("Black-Ink-Guild/Blight")
messages = [
{"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
messages,
add_generation_prompt=True,
tokenize=True,
return_dict=True,
return_tensors="pt",
).to(model.device)
outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))This is a merge of pre-trained language models created using mergekit.
This model was merged using the Model Stock merge method using /home/sicarius/text-generation-webui/models/huihui-ai_Llama-3.3-70B-Instruct-abliterated/ as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: /home/sicarius/text-generation-webui/models/huihui-ai_Llama-3.3-70B-Instruct-abliterated/
merge_method: model_stock
#dtype: float32
dtype: bfloat16
models:
- model: /home/sicarius/text-generation-webui/models/SicariusSicariiStuff_Negative_LLAMA_70B/
- model: /home/sicarius/text-generation-webui/models/Sao10K_L3.3-70B-Euryale-v2.3/
- model: /home/sicarius/text-generation-webui/models/invisietch_L3.1-70Blivion-v0.1-rc1-70B/
# - model: /home/sicarius/text-generation-webui/models/VAGOsolutions_Llama-3.1-SauerkrautLM-70b-Instruct/
# - model: /home/sicarius/text-generation-webui/models/Steelskull_L3.3-Nevoria-R1-70b/
# - model: /home/sicarius/text-generation-webui/models/Steelskull_L3.3-MS-Nevoria-70b/
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Black-Ink-Guild/Blight") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)