What are the hardware requirements for Qwen2.5 Coder 14B Qiskit?

Qwen2.5 Coder 14B Qiskit 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 Qwen2.5 Coder 14B Qiskit and how large is it?

Qwen2.5 Coder 14B Qiskit is developed by Qiskit, 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 Qwen2.5 Coder 14B Qiskit?

Qwen2.5 Coder 14B Qiskit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Coder 14B Qiskit by Qiskit — VRAM 29.7GB, 32K context

Name: Qwen2.5 Coder 14B Qiskit
Author: Qiskit

Qwen2.5 Coder 14B Qiskit is an open-source language model by Qiskit. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.19.

Arxiv:2309.00071 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Code Codegen Codeqwen Conversational En Endpoints compatible Instruct Qwen-coder Qwen2.5-coder-14b-qiskit Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qiskit/Qwen2.5-Coder-14B-Qiskit

Qwen2.5 Coder 14B Qiskit Parameters and Internals

LLM Name	Qwen2.5 Coder 14B Qiskit
Repository 🤗	https://huggingface.co/Qiskit/Qwen2.5-Coder-14B-Qiskit
Base Model(s)	Qwen/Qwen2.5-Coder-14B-Instruct Qwen/Qwen2.5-Coder-14B-Instruct
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-07-26
Maintainer	Qiskit
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
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the Qwen2.5 Coder 14B Qiskit 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 Qwen2.5 Coder 14B Qiskit

Best Alternatives	Context / RAM	Downloads	Likes
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
ZYH LLM Qwen2.5 14B V5	986K / 29.7 GB	12	8
Qwen2.5 14B YOYO V5	986K / 29.7 GB	10	4
Mergekit Model Stock Ggfjmyf	986K / 29.7 GB	14	0
Mergekit Model Stock Injkqri	986K / 29.7 GB	5	1
...1 DeepSeekR1 Coder 14B Preview	128K / 29.7 GB	9	3
Tessa T1 14B	117K / 29.7 GB	6	13
UIGEN T1.5 14B	117K / 29.7 GB	8	6

Note: green Score (e.g. "73.2") means that the model is better than Qiskit/Qwen2.5-Coder-14B-Qiskit.