What are the hardware requirements for Miscii 14B 1028?

Miscii 14B 1028 requires approximately 29.6 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 Miscii 14B 1028 and how large is it?

Miscii 14B 1028 is developed by sthenno-com, 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 Miscii 14B 1028?

Miscii 14B 1028 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Miscii 14B 1028 by sthenno-com — VRAM 29.6GB, 128K context

Name: Miscii 14B 1028
Author: sthenno-com

Miscii 14B 1028 is an open-source language model by sthenno-com. Features: 14b LLM, VRAM: 29.6GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.27.

Ara Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in... Chat Conversational Custom-research Dataset:google/synthetic-perso... Dataset:mlabonne/orpo-dpo-mix-... Dataset:nvidia/helpsteer2 Deu Doi:10.57967/hf/7715 Endpoints compatible Eng Fra Instruct Ita Jpn Kor Model-index Por Qwen2 Region:us Roleplay Rp Rus Safetensors Sharded Spa Tensorflow Tha Tool-use Vie Zho

Model Card on HF 🤗: https://huggingface.co/sthenno-com/miscii-14b-1028

Miscii 14B 1028 Parameters and Internals

LLM Name	Miscii 14B 1028
Repository 🤗	https://huggingface.co/sthenno-com/miscii-14b-1028
Base Model(s)	Qwen/Qwen2.5-14B-Instruct Qwen/Qwen2.5-14B-Instruct
Model Size	14b
Required VRAM	29.6 GB
Updated	2026-07-17
Maintainer	sthenno-com
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.9 GB: 1-of-8 4.0 GB: 2-of-8 4.0 GB: 3-of-8 4.0 GB: 4-of-8 4.0 GB: 5-of-8 4.0 GB: 6-of-8 4.0 GB: 7-of-8 1.7 GB: 8-of-8
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Miscii 14B 1028 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

Quantized Models of the Miscii 14B 1028

Model	Likes	Downloads	VRAM
Miscii 14B 1028 4bit	3	13	8 GB

Best Alternatives to Miscii 14B 1028

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 sthenno-com/miscii-14b-1028.