What are the hardware requirements for PARD DeepSeek R1 Distill Qwen 1.5B?

PARD DeepSeek R1 Distill Qwen 1.5B requires approximately 3.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed PARD DeepSeek R1 Distill Qwen 1.5B and how large is it?

PARD DeepSeek R1 Distill Qwen 1.5B is developed by amd, a model with 1.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate PARD DeepSeek R1 Distill Qwen 1.5B?

PARD DeepSeek R1 Distill Qwen 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

PARD DeepSeek R1 Distill Qwen 1.5B by amd — VRAM 3.5GB, 128K context

Name: PARD DeepSeek R1 Distill Qwen 1.5B
Author: amd

PARD DeepSeek R1 Distill Qwen 1.5B is an open-source language model by amd. Features: 1.5b LLM, VRAM: 3.5GB, Context: 128K, License: mit, LLM Explorer Score: 0.18.

Arxiv:2504.18583 Conversational Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/amd/PARD-DeepSeek-R1-Distill-Qwen-1.5B

PARD DeepSeek R1 Distill Qwen 1.5B Parameters and Internals

LLM Name	PARD DeepSeek R1 Distill Qwen 1.5B
Repository 🤗	https://huggingface.co/amd/PARD-DeepSeek-R1-Distill-Qwen-1.5B
Model Size	1.5b
Required VRAM	3.5 GB
Updated	2026-08-09
Maintainer	amd
Model Type	qwen2
Model Files	3.5 GB
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the PARD DeepSeek R1 Distill Qwen 1.5B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to PARD DeepSeek R1 Distill Qwen 1.5B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	23	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Edu Slm	128K / 3.5 GB	358	1
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	209	1
Pulsar Coder V1	128K / 3.1 GB	291	1
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
MLR Executor Qwen 1.5B	128K / 3.5 GB	503	0
Axiom Python 1.5B	128K / 3.1 GB	312	0

Note: green Score (e.g. "73.2") means that the model is better than amd/PARD-DeepSeek-R1-Distill-Qwen-1.5B.