What are the hardware requirements for Qwentessential 14B V3?

Qwentessential 14B V3 requires approximately 29.7 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 Qwentessential 14B V3 and how large is it?

Qwentessential 14B V3 is developed by sometimesanotion, a model with 14b 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 Qwentessential 14B V3?

Qwentessential 14B V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwentessential 14B V3 by sometimesanotion — VRAM 29.7GB, 128K context

Name: Qwentessential 14B V3
Author: sometimesanotion

Qwentessential 14B V3 is an open-source language model by sometimesanotion. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2306.01708 Autotrain compatible Base model:huihui-ai/qwen2.5-1... Base model:sometimesanotion/qw... Base model:sthenno-com/miscii-... Conversational En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sometimesanotion/Qwentessential-14B-v3

Qwentessential 14B V3 Parameters and Internals

LLM Name	Qwentessential 14B V3
Repository 🤗	https://huggingface.co/sometimesanotion/Qwentessential-14B-v3
Base Model(s)	sometimesanotion/Qwen2.5-14B-Vimarckoso-v3 Miscii 14B 0218 huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2 sometimesanotion/Qwen2.5-14B-Vimarckoso-v3 sthenno-com/miscii-14b-0218 huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
Merged Model	Yes
Model Size	14b
Required VRAM	29.7 GB
Updated	2025-03-10
Maintainer	sometimesanotion
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.8 GB: 6-of-6
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Qwentessential 14B V3 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 Qwentessential 14B V3

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 14B Instruct 1M	986K / 29.6 GB	10388	342
T3Q Qwen2.5 14B V1.0 E3	986K / 29.7 GB	852	28
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B 1M YOYO V3	986K / 29.7 GB	254	4
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
Qwen2.5 14B YOYO Latest V2	986K / 29.7 GB	129	0
ZYH LLM Qwen2.5 14B V3	986K / 29.7 GB	23	8
...14B Instruct 1M GRPO Reasoning	986K / 29.7 GB	11	4
Impish QWEN 14B 1M	986K / 29.7 GB	56	26
Q2.5 14B Instruct 1M Harmony	986K / 29.7 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than sometimesanotion/Qwentessential-14B-v3.