GGUF
Merge
mergekit
lazymergekit
bardsai/jaskier-7b-dpo-v3.3
CultriX/NeuralTrix-v4-bf16
CultriX/NeuralTrix-7B-dpo
output = llm(
"Once upon a time,",
max_tokens=512,
echo=True
)
print(output)Note: This is a test to check if it fixed the INSTINSTINST error in the output! Please let me know if you still get errors using this model.
NeuralTrix-bf16
NeuralTrix-bf16 is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: eren23/dpo-binarized-NeuralTrix-7B
# no parameters necessary for base model
- model: bardsai/jaskier-7b-dpo-v3.3
parameters:
density: 0.65
weight: 0.4
- model: CultriX/NeuralTrix-v4-bf16
parameters:
density: 0.6
weight: 0.35
- model: CultriX/NeuralTrix-7B-dpo
parameters:
density: 0.6
weight: 0.35
merge_method: dare_ties
base_model: eren23/dpo-binarized-NeuralTrix-7B
parameters:
int8_mask: true
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "CultriX/"
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"])
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# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="CultriX/NeuralTrix-bf16-GGUF", filename="neuraltrix-bf16.Q6_K.gguf", )