What are the hardware requirements for DeepSeek R1 Distill Qwen 7B GRPO LIMO?

DeepSeek R1 Distill Qwen 7B GRPO LIMO requires approximately 15.2 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 DeepSeek R1 Distill Qwen 7B GRPO LIMO and how large is it?

DeepSeek R1 Distill Qwen 7B GRPO LIMO is developed by radna, a model with 7b 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 DeepSeek R1 Distill Qwen 7B GRPO LIMO?

DeepSeek R1 Distill Qwen 7B GRPO LIMO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek R1 Distill Qwen 7B GRPO LIMO by radna — VRAM 15.2GB, 128K context

Name: DeepSeek R1 Distill Qwen 7B GRPO LIMO
Author: radna

DeepSeek R1 Distill Qwen 7B GRPO LIMO is an open-source language model by radna. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, LLM Explorer Score: 0.17.

Arxiv:2402.03300 Autotrain compatible Base model:finetune:radna/deep... Base model:radna/deepseek-r1-d... Conversational Dataset:gair/limo Endpoints compatible Generated from trainer Grpo Open-r1 Qwen2 Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/radna/DeepSeek-R1-Distill-Qwen-7B-GRPO-LIMO

DeepSeek R1 Distill Qwen 7B GRPO LIMO Parameters and Internals

LLM Name	DeepSeek R1 Distill Qwen 7B GRPO LIMO
Repository 🤗	https://huggingface.co/radna/DeepSeek-R1-Distill-Qwen-7B-GRPO-LIMO
Model Name	DeepSeek-R1-Distill-Qwen-7B-GRPO-LIMO
Base Model(s)	...k R1 Distill Qwen 7B GRPO LIMO radna/DeepSeek-R1-Distill-Qwen-7B-GRPO-LIMO
Model Size	7b
Required VRAM	15.2 GB
Updated	2025-02-22
Maintainer	radna
Model Type	qwen2
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.0.dev0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the DeepSeek R1 Distill Qwen 7B GRPO LIMO 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 DeepSeek R1 Distill Qwen 7B GRPO LIMO

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Preview	986K / 15.2 GB	10	0
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B V1.2	986K / 15.2 GB	4	1
Hush Qwen2.5 7B V1.1	986K / 15.2 GB	5	1
Hush Qwen2.5 7B V1.4	986K / 15.2 GB	8	1
Hush Qwen2.5 7B Preview	986K / 15.2 GB	5	0
Hush Qwen2.5 7B V1.3	986K / 15.2 GB	10	2
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen 2.5 7B Exp Sce	986K / 15.2 GB	10	2
Qwen2.5 7B MixStock V0.1	986K / 15.2 GB	6	3

Note: green Score (e.g. "73.2") means that the model is better than radna/DeepSeek-R1-Distill-Qwen-7B-GRPO-LIMO.