What are the hardware requirements for Qwen1.5 14B Chat GGUF?

Qwen1.5 14B Chat GGUF requires approximately 6.1 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 Qwen1.5 14B Chat GGUF and how large is it?

Qwen1.5 14B Chat GGUF is developed by second-state, 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 Qwen1.5 14B Chat GGUF?

Qwen1.5 14B Chat GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen1.5 14B Chat GGUF by second-state — VRAM 6.1GB, 32K context

Name: Qwen1.5 14B Chat GGUF
Author: second-state

Qwen1.5 14B Chat GGUF is an open-source language model by second-state. Features: 14b LLM, VRAM: 6.1GB, Context: 32K, License: other, Quantized, LLM Explorer Score: 0.11.

Base model:quantized:qwen/qwen... Base model:qwen/qwen1.5-14b-ch... Chat Conversational En Endpoints compatible Gguf Q2 Quantized Qwen2 Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/Qwen1.5-14B-Chat-GGUF

Qwen1.5 14B Chat GGUF Parameters and Internals

Model Type

text-generation, chat

Supported Languages

en (primary)

Input Output

Input Format:

chatml

LLM Name	Qwen1.5 14B Chat GGUF
Repository 🤗	https://huggingface.co/second-state/Qwen1.5-14B-Chat-GGUF
Model Name	Qwen1.5 14B Chat
Model Creator	Qwen
Base Model(s)	Qwen/Qwen1.5-14B-Chat Qwen/Qwen1.5-14B-Chat
Model Size	14b
Required VRAM	6.1 GB
Updated	2026-06-07
Maintainer	second-state
Model Type	qwen2
Model Files	6.1 GB 7.8 GB 7.4 GB 7.0 GB 8.2 GB 9.2 GB 8.6 GB 9.8 GB 10.5 GB 10.0 GB 12.3 GB 15.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the Qwen1.5 14B Chat GGUF 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 Qwen1.5 14B Chat GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 14B DeepSeek R1 1M	986K / 29.7 GB	1137	54
JiRackUltra 14b	128K / 5.8 GB	3302	0
AceReason Nemotron 14B GGUF	128K / 3.8 GB	586	9
... 14B MegaMerge Pt2 Q5 K M GGUF	128K / 10.5 GB	19	2
...omboCombo R1 Coder 14B Preview	32K / 29.7 GB	56	3
Neuron V1 Distill Qwen2 14B	32K / 29.7 GB	691	4
Neuron V1 14B Instruct	32K / 29.7 GB	188	4
...er 14B Instruct Abliterated V1	32K / 29.7 GB	7	3
Qwen2.5 14B Instruct 1M 8bit	986K / 15.7 GB	430	12
Qwen2.5 14B Instruct 1M 4bit	986K / 8.3 GB	379	2

Note: green Score (e.g. "73.2") means that the model is better than second-state/Qwen1.5-14B-Chat-GGUF.