metadata
tags:
- merge
- mergekit
- lazymergekit
- codellama/CodeLlama-7b-Instruct-hf
base_model:
- codellama/CodeLlama-7b-Instruct-hf
CodeLlemur-2B-Instruct-line
CodeLlemur-2B-Instruct-line is a merge of the following models using LazyMergekit:
🧩 Configuration
dtype: bfloat16
merge_method: linear
slices:
- sources:
- layer_range: [0, 16]
model: codellama/CodeLlama-7b-Instruct-hf
parameters:
weight: 0.25
- layer_range: [16, 32]
model: codellama/CodeLlama-7b-Instruct-hf
parameters:
weight: 0.25
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "JoPmt/CodeLlemur-2B-Instruct-line"
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"])