What are the hardware requirements for Query Templatizer Full?

Query Templatizer Full requires approximately 2.5 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 Query Templatizer Full and how large is it?

Query Templatizer Full is developed by fineinstructions, a model with 1.2b 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 Query Templatizer Full?

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

Query Templatizer Full by fineinstructions — VRAM 2.5GB, 128K context

Name: Query Templatizer Full
Author: fineinstructions

Query Templatizer Full is an open-source language model by fineinstructions. Features: 1.2b LLM, VRAM: 2.5GB, Context: 128K, LLM Explorer Score: 0.16.

8-bit Bitsandbytes Conversational Datadreamer Datadreamer-0.39.0 Dataset:fineinstructions/templ... Llama Region:us Safetensors Synthetic

Model Card on HF 🤗: https://huggingface.co/fineinstructions/query_templatizer_full

Query Templatizer Full Parameters and Internals

LLM Name	Query Templatizer Full
Repository 🤗	https://huggingface.co/fineinstructions/query_templatizer_full
Model Size	1.2b
Required VRAM	2.5 GB
Updated	2025-02-02
Maintainer	fineinstructions
Model Type	llama
Model Files	2.5 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Query Templatizer Full 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

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Mazgu Llama V3 Merged	128K / 2.5 GB	301	0
Assn2 Sft Train5	128K / 2.5 GB	7	0
Zay Llama1b DPO Harmful PathD	128K / 2.5 GB	1	1
Akshar Nano V2	128K / 2.5 GB	15	0
Akshar Nano	128K / 2.5 GB	10	0
Second Tts Try	128K / 2.5 GB	39	0
...18 27e6 491c B3ab Ea03a5b93541	128K / 4.9 GB	10	0
...e9 9a4a 4ead 84f4 71761ee932ca	128K / 4.9 GB	6	0
SemAFacet SFT Merged 10K	128K / 4.9 GB	9	0
Llamainstructbadendings	128K / 2.5 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than fineinstructions/query_templatizer_full.