Nous-Hermes-2-Mixtral-8x7B-DPO-HQQ

This model is part of a series of HQQ tests. I make no claims on the performance of this model and it very well may change or be deleted.

This is a very extreme example of quantization.

from hqq.engine.hf import HQQModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained('macadeliccc/Nous-Hermes-2-Mixtral-8x7B-DPO-HQQ', trust_remote_code=True)
model = HQQModelForCausalLM.from_pretrained(
    "macadeliccc/Nous-Hermes-2-Mixtral-8x7B-DPO-HQQ",
    torch_dtype=torch.float16,
    device_map="auto"
)
Downloads last month
18
Safetensors
Model size
263M params
Tensor type
FP16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for macadeliccc/Nous-Hermes-2-Mixtral-8x7B-DPO-HQQ