What are the hardware requirements for DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured?

DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured requires approximately 3.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured?

DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured by MasterControlAIML — VRAM 3.1GB, 32K context

Name: DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured
Author: MasterControlAIML

DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured is an open-source language model by MasterControlAIML. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.17.

Base model:finetune:mastercont... Base model:mastercontrolaiml/d... Conversational Deepseek En Endpoints compatible Json Qwen Qwen2 R1 Region:us Safetensors Sft Structured Unstructured

Model Card on HF 🤗: https://huggingface.co/MasterControlAIML/DeepSeek-R1-Qwen2.5-1.5b-SFT-R1-JSON-Unstructured-To-Structured

DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured Parameters and Internals

LLM Name	DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured
Repository 🤗	https://huggingface.co/MasterControlAIML/DeepSeek-R1-Qwen2.5-1.5b-SFT-R1-JSON-Unstructured-To-Structured
Base Model(s)	MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-07-30
Maintainer	MasterControlAIML
Model Type	qwen2
Model Files	3.1 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the DeepSeek R1 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured capabilities

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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 Qwen2.5 1.5B SFT R1 JSON Unstructured To Structured

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	11	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
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
VibeThinker 1.5B	128K / 3.5 GB	3417	552
Merge Cord V1	128K / 3.1 GB	155	1
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Qwen2 1.5B	128K / 3.1 GB	195380	102

Note: green Score (e.g. "73.2") means that the model is better than MasterControlAIML/DeepSeek-R1-Qwen2.5-1.5b-SFT-R1-JSON-Unstructured-To-Structured.