What are the hardware requirements for CogitoZ14?

CogitoZ14 requires approximately 29.7 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 CogitoZ14 and how large is it?

CogitoZ14 is developed by Daemontatox, 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 CogitoZ14?

CogitoZ14 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CogitoZ14 by Daemontatox — VRAM 29.7GB, 32K context

Name: CogitoZ14
Author: Daemontatox

CogitoZ14 is an open-source language model by Daemontatox. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.26.

4bit Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Chain-of-thought Codegen Conversational Dataset:pjmixers/math-multitur... En Endpoints compatible Instruct Model-index Quantized Qwen2 Reasoning Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Daemontatox/CogitoZ14

CogitoZ14 Parameters and Internals

LLM Name	CogitoZ14
Repository 🤗	https://huggingface.co/Daemontatox/CogitoZ14
Base Model(s)	Qwen/Qwen2.5-Coder-14B-Instruct Qwen/Qwen2.5-Coder-14B-Instruct
Model Size	14b
Required VRAM	29.7 GB
Updated	2025-02-27
Maintainer	Daemontatox
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 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 4.7 GB: 6-of-6
Supported Languages	en
Quantization Type	4bit
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.47.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the CogitoZ14 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 CogitoZ14

Best Alternatives	Context / RAM	Downloads	Likes
....5 Coder 14B Instruct Bnb 4bit	32K / 9.9 GB	21134	5
UIGEN T1.1 Qwen 14B	32K / 29.7 GB	1130	32
Qwen 14B Codefourchan	32K / 29.7 GB	2	1
...wen2.5 Coder 14B Instruct 4bit	32K / 8.3 GB	2879	8
UIGEN T1.1 Qwen 14B	32K / 29.7 GB	95	41
UIGEN T1.2 Tailwind 14B	32K / 29.7 GB	4	1
Korean QWEN Coder2.5 14B	32K / 29.7 GB	19	4
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
ZYH LLM Qwen2.5 14B V2	986K / 29.7 GB	14	1

Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/CogitoZ14.