README.md

metadata

license: apache-2.0
tags:
  - Safetensors
  - text-generation-inference
  - merge
  - transformers
  - safetensors
  - mistral
  - text-generation
  - merge
  - mergekit
  - lazymergekit
  - automerger
  - base_model:CorticalStack/shadow-clown-7B-slerp
  - base_model:Gille/StrangeMerges_32-7B-slerp
  - license:apache-2.0
  - autotrain_compatible
  - endpoints_compatible
  - text-generation-inference
  - region:us
model_name: M7Yamshadowexperiment28_ShadowStrangemerges_32
base_model:
  - automerger/M7Yamshadowexperiment28-7B
  - automerger/ShadowStrangemerges_32-7B
inference: false
model_creator: MaziyarPanahi
pipeline_tag: text-generation
quantized_by: MaziyarPanahi

M7Yamshadowexperiment28_ShadowStrangemerges_32

M7Yamshadowexperiment28_ShadowStrangemerges_32 is a merge of the following models:

• automerger/M7Yamshadowexperiment28-7B
• automerger/ShadowStrangemerges_32-7B

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "MaziyarPanahi/M7Yamshadowexperiment28_ShadowStrangemerges_32"
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"])