DeepSeek-R1-Distill-Qwen-7B-HQQ-INT4 – AI Model by drawais | AlphaNeural AI

You can deploy this model and start earning money today!

drawais/
DeepSeek-R1-Distill-Qwen-7B-HQQ-INT4

like

0

text-generation

deepseek-ai/DeepSeek-R1-Distill-Qwen-7B

Views

No views yet

DeepSeek-R1-Distill-Qwen-7B-HQQ-INT4

INT4 quantization of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B. Calibration-free companion to drawais/DeepSeek-R1-Distill-Qwen-7B-AWQ-INT4.

Footprint


Source params	7B (distilled from R1)
Quantized weights	~5.3 GB on disk
Inference VRAM (incl. KV cache @ 32K context)	~10 GB

Best at native ≤32K context. For long-context use the AWQ companion via vLLM.

Quick start

python

from transformers import AutoTokenizer
from hqq.models.hf.base import AutoHQQHFModel

tok = AutoTokenizer.from_pretrained("drawais/DeepSeek-R1-Distill-Qwen-7B-HQQ-INT4")
model = AutoHQQHFModel.from_quantized("drawais/DeepSeek-R1-Distill-Qwen-7B-HQQ-INT4", device="cuda")

License

MIT (DeepSeek-R1-Distill series). Underlying base model (Qwen2.5-Math-7B) is Apache 2.0.