What are the hardware requirements for R1 14B RL 60?

R1 14B RL 60 requires approximately 29.7 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 R1 14B RL 60 and how large is it?

R1 14B RL 60 is developed by radna, a model with 14b 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 R1 14B RL 60?

R1 14B RL 60 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

R1 14B RL 60 by radna — VRAM 29.7GB, 128K context

Name: R1 14B RL 60
Author: radna

R1 14B RL 60 is an open-source language model by radna. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, LLM Explorer Score: 0.17.

Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/radna/r1-14B-RL-60

R1 14B RL 60 Parameters and Internals

LLM Name	R1 14B RL 60
Repository 🤗	https://huggingface.co/radna/r1-14B-RL-60
Model Size	14b
Required VRAM	29.7 GB
Updated	2025-09-22
Maintainer	radna
Model Type	qwen2
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.7 GB: 6-of-6
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the R1 14B RL 60 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 R1 14B RL 60

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 14B Instruct 1M	986K / 29.6 GB	10388	342
T3Q Qwen2.5 14B V1.0 E3	986K / 29.7 GB	852	28
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B 1M YOYO V3	986K / 29.7 GB	254	4
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
Qwen2.5 14B YOYO Latest V2	986K / 29.7 GB	129	0
ZYH LLM Qwen2.5 14B V3	986K / 29.7 GB	23	8
...14B Instruct 1M GRPO Reasoning	986K / 29.7 GB	11	4
Etr1o V1.2	986K / 29.7 GB	11	0
Impish QWEN 14B 1M	986K / 29.7 GB	56	26

Note: green Score (e.g. "73.2") means that the model is better than radna/r1-14B-RL-60.