What are the hardware requirements for Deepthink 1.5B Open PRM?

Deepthink 1.5B Open PRM requires approximately 7.1 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 Deepthink 1.5B Open PRM and how large is it?

Deepthink 1.5B Open PRM is developed by prithivMLmods, 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 Deepthink 1.5B Open PRM?

Deepthink 1.5B Open PRM is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepthink 1.5B Open PRM by prithivMLmods — VRAM 7.1GB, 128K context

Name: Deepthink 1.5B Open PRM
Author: prithivMLmods

Deepthink 1.5B Open PRM is an open-source language model by prithivMLmods. Features: 1.5b LLM, VRAM: 7.1GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i... Code Conversational En Endpoints compatible Instruct Math Prm Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Deepthink-1.5B-Open-PRM

Deepthink 1.5B Open PRM Parameters and Internals

LLM Name	Deepthink 1.5B Open PRM
Repository 🤗	https://huggingface.co/prithivMLmods/Deepthink-1.5B-Open-PRM
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	7.1 GB
Updated	2026-08-08
Maintainer	prithivMLmods
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.1 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.0.dev0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	151936
Torch Data Type	float32

Rank the Deepthink 1.5B Open PRM 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 Deepthink 1.5B Open PRM

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	18	0
Merge Cord V1	128K / 3.1 GB	155	1
Gte Qwen2 1.5B Instruct	128K / 7.1 GB	670633	238
AceInstruct 1.5B	128K / 3.5 GB	139	22
... Abliterated TIES Qwen2.5 1.5B	128K / 3.5 GB	15	0
Saba1 1.8B	128K / 3.6 GB	6	1
Miniclaus Qw1.5B UNAMGS	128K / 3.5 GB	12	8
Bellatrix 1.5B XElite	128K / 3.5 GB	19	3
GCIRS Reasoning 1.5B R1	128K / 3.5 GB	9	1
...illed Scout 1.5B Instruct Gen1	128K / 3.5 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Deepthink-1.5B-Open-PRM.