What are the hardware requirements for SlimPLM Query Rewriting?

SlimPLM Query Rewriting requires approximately 27.1 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SlimPLM Query Rewriting and how large is it?

SlimPLM Query Rewriting is developed by zstanjj, 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 SlimPLM Query Rewriting?

SlimPLM Query Rewriting is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SlimPLM Query Rewriting by zstanjj — VRAM 27.1GB, 4K context

Name: SlimPLM Query Rewriting
Author: zstanjj

SlimPLM Query Rewriting is an open-source language model by zstanjj. Features: 7b LLM, VRAM: 27.1GB, Context: 4K, License: llama2, LLM Explorer Score: 0.11.

Arxiv:2402.12052 Deploy:azure Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/zstanjj/SlimPLM-Query-Rewriting

SlimPLM Query Rewriting Parameters and Internals

Model Type

Causal Language Model, Query Rewriting

Use Cases

Primary Use Cases:

Query rewriting, Retrieval Necessity Judgment

Additional Notes

If you use this model, please star the GitHub repository.

LLM Name	SlimPLM Query Rewriting
Repository 🤗	https://huggingface.co/zstanjj/SlimPLM-Query-Rewriting
Model Size	7b
Required VRAM	27.1 GB
Updated	2026-05-22
Maintainer	zstanjj
Model Type	llama
Model Files	4.8 GB: 1-of-6 4.9 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 2.7 GB: 6-of-6
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<s>
Vocabulary Size	32000
Torch Data Type	float32

Rank the SlimPLM Query Rewriting 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 SlimPLM Query Rewriting

Best Alternatives	Context / RAM	Downloads
124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
A6 L	1024K / 16.1 GB	201
M	1024K / 16.1 GB	127
2 Very Sci Fi	1024K / 16.1 GB	317

Note: green Score (e.g. "73.2") means that the model is better than zstanjj/SlimPLM-Query-Rewriting.