MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ

Description

MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ is a quantized (GPTQ) version of one-man-army/UNA-34Beagles-32K-bf16-v1

How to use

Install the necessary packages

pip install --upgrade accelerate auto-gptq transformers

Example Python code

from transformers import AutoTokenizer, pipeline
from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
import torch

model_id = "MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ"

quantize_config = BaseQuantizeConfig(
        bits=4,
        group_size=128,
        desc_act=False
    )

model = AutoGPTQForCausalLM.from_quantized(
        model_id,
        use_safetensors=True,
        device="cuda:0",
        quantize_config=quantize_config)

tokenizer = AutoTokenizer.from_pretrained(model_id)

pipe = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
    max_new_tokens=512,
    temperature=0.7,
    top_p=0.95,
    repetition_penalty=1.1
)

outputs = pipe("What is a large language model?")
print(outputs[0]["generated_text"])

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	29.15
AI2 Reasoning Challenge (25-Shot)	26.11
HellaSwag (10-Shot)	26.29
MMLU (5-Shot)	24.43
TruthfulQA (0-shot)	47.27
Winogrande (5-shot)	50.83
GSM8k (5-shot)	0.00