What are the hardware requirements for Qwen3 Gutenberg Encore 14B?

Qwen3 Gutenberg Encore 14B requires approximately 29.5 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.

Who developed Qwen3 Gutenberg Encore 14B and how large is it?

Qwen3 Gutenberg Encore 14B is developed by nbeerbower, 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 Qwen3 Gutenberg Encore 14B?

Qwen3 Gutenberg Encore 14B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Gutenberg Encore 14B by nbeerbower — VRAM 29.5GB, 32K context

Name: Qwen3 Gutenberg Encore 14B
Author: nbeerbower

Qwen3 Gutenberg Encore 14B is an open-source language model by nbeerbower. Features: 14b LLM, VRAM: 29.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:finetune:nbeerbower... Base model:nbeerbower/xiaolong... Conversational Dataset:jondurbin/gutenberg-dp... Dataset:nbeerbower/arkhaios-dp... Dataset:nbeerbower/gutenberg-m... Dataset:nbeerbower/gutenberg2-... Dataset:nbeerbower/purpura-dpo Dataset:nbeerbower/schule-dpo Dataset:nbeerbower/synthetic-f... Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nbeerbower/Qwen3-Gutenberg-Encore-14B

Qwen3 Gutenberg Encore 14B Parameters and Internals

LLM Name	Qwen3 Gutenberg Encore 14B
Repository 🤗	https://huggingface.co/nbeerbower/Qwen3-Gutenberg-Encore-14B
Base Model(s)	Xiaolong Qwen3 14B nbeerbower/Xiaolong-Qwen3-14B
Model Size	14b
Required VRAM	29.5 GB
Updated	2026-07-21
Maintainer	nbeerbower
Model Type	qwen3
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 4.9 GB: 5-of-6 4.7 GB: 6-of-6
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 Gutenberg Encore 14B 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 Qwen3 Gutenberg Encore 14B

Best Alternatives	Context / RAM	Downloads	Likes
...JA Qwen3 14B Agentic 256K V0.1	256K / 29.5 GB	28	8
SimpleChat 14B V1	195K / 29.5 GB	10	2
...0528DistillQwen 14B V27.3 200K	195K / 29.5 GB	9	5
...uct 21B Brainstorm20x 128K Ctx	128K / 84.1 GB	8	0
NousCoder 14B	80K / 29.5 GB	379	221
MiroThinker 14B DPO V0.2	64K / 29.7 GB	28	6
UIGEN T3 14B Preview	40K / 29.5 GB	24	22
Qwen3 14B	40K / 29.7 GB	2722973	437
...Svamp14 Sft Merged Bf16 R8 A16	40K / 29.5 GB	466	0
Hermes 4 14B	40K / 29.5 GB	194693	169

Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Qwen3-Gutenberg-Encore-14B.