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drawais/
DeepSeek-R1-Distill-Qwen-1.5B-AWQ-INT4

Name: DeepSeek-R1-Distill-Qwen-1.5B-AWQ-INT4
Availability: InStock

deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

quantized

mit

text-generation-inference

endpoints_compatible

compressed-tensors

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DeepSeek-R1-Distill-Qwen-1.5B-AWQ-INT4

INT4 weight-only quantization of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B.

DeepSeek-R1 reasoning distilled into 1.5B Qwen, then INT4. Smallest reasoning model in the drawais lineup. Runs on a 4 GB consumer GPU.

Property	Value
Base model	deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
Quantization	INT4 weight-only
Approx. on-disk size	~1.6 GB
Languages	English

Load (vLLM)

bash

vllm serve drawais/DeepSeek-R1-Distill-Qwen-1.5B-AWQ-INT4 \
  --max-model-len 32768 \
  --gpu-memory-utilization 0.94

python

from vllm import LLM, SamplingParams
llm = LLM(model="drawais/DeepSeek-R1-Distill-Qwen-1.5B-AWQ-INT4", max_model_len=32768)
print(llm.generate(["Hello!"], SamplingParams(max_tokens=128))[0].outputs[0].text)

Footprint

~1.6 GB on disk. Recommended VRAM: enough headroom for KV cache.

License & attribution

This artifact is a derivative work of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B, released by its original authors under the MIT License.

This artifact is distributed under the same license. The full license text is included in LICENSE, and required attribution is in NOTICE.

License text: https://opensource.org/license/mit Source model: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B