What are the hardware requirements for 2507 R1 Gr Ld?

2507 R1 Gr Ld requires approximately 1.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed 2507 R1 Gr Ld and how large is it?

2507 R1 Gr Ld is developed by Jordansky. 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 2507 R1 Gr Ld?

2507 R1 Gr Ld is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

2507 R1 Gr Ld by Jordansky — VRAM 1.1GB

Name: 2507 R1 Gr Ld
Author: Jordansky

2507 R1 Gr Ld is an open-source language model by Jordansky. Features: LLM, VRAM: 1.1GB, LLM Explorer Score: 0.24.

Arxiv:1910.09700 Base model:adapter:/cache/mode... Base model:adapter:jordansky/a... Base model:jordansky/augmented... Conversational Lora Peft Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/Jordansky/2507-r1-gr-ld

2507 R1 Gr Ld Parameters and Internals

LLM Name	2507 R1 Gr Ld
Repository 🤗	https://huggingface.co/Jordansky/2507-r1-gr-ld
Base Model(s)	Augmented F560e4e6ee71e78d Jordansky/augmented-f560e4e6ee71e78d
Required VRAM	1.1 GB
Updated	2026-07-08
Maintainer	Jordansky
Model Files	1.1 GB 0.0 GB
Model Architecture	AutoModel
Model Max Length	1010000
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|q_proj\|up_proj\|gate_proj\|k_proj\|v_proj\|down_proj
LoRA Alpha	512
LoRA Dropout	0.1
R Param	128
Errors	replace

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

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