What are the hardware requirements for Qwen3 14B Instruct Wildfeedback Seed?

Qwen3 14B Instruct Wildfeedback Seed requires approximately 29.5 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 14B Instruct Wildfeedback Seed and how large is it?

Qwen3 14B Instruct Wildfeedback Seed is developed by AmberYifan, 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 14B Instruct Wildfeedback Seed?

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

Qwen3 14B Instruct Wildfeedback Seed by AmberYifan — VRAM 29.5GB, 40K context

Name: Qwen3 14B Instruct Wildfeedback Seed
Author: AmberYifan

Qwen3 14B Instruct Wildfeedback Seed is an open-source language model by AmberYifan. Features: 14b LLM, VRAM: 29.5GB, Context: 40K, Instruction-Based, LLM Explorer Score: 0.19.

Arxiv:2305.18290 Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-14b Conversational Dpo Endpoints compatible Generated from trainer Instruct Qwen3 Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/AmberYifan/Qwen3-14B-Instruct-wildfeedback-seed

Qwen3 14B Instruct Wildfeedback Seed Parameters and Internals

LLM Name	Qwen3 14B Instruct Wildfeedback Seed
Repository 🤗	https://huggingface.co/AmberYifan/Qwen3-14B-Instruct-wildfeedback-seed
Model Name	Qwen3-14B-Instruct-wildfeedback-seed
Base Model(s)	Qwen3 14B Qwen/Qwen3-14B
Model Size	14b
Required VRAM	29.5 GB
Updated	2025-11-02
Maintainer	AmberYifan
Model Type	qwen3
Instruction-Based	Yes
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 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.53.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 14B Instruct Wildfeedback Seed capabilities

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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 14B Instruct Wildfeedback Seed

Best Alternatives	Context / RAM	Downloads	Likes
...uct 21B Brainstorm20x 128K Ctx	128K / 84.1 GB	8	0
Qwen3 14B Instruct	40K / 29.7 GB	15805	13
Qwen3 14B Sk Alpaca Slovak It	40K / 23.2 GB	67	1
Supertron1 14B	40K / 9.9 GB	87	5
... 14B Instruct LoRA 1310 Merged	40K / 29.5 GB	9	0
Ophiuchi Qwen3 14B Instruct	40K / 29.5 GB	1068	11
...DER Instruct 21B Brainstorm20x	40K / 84.1 GB	12	2
Qwen3 14B Esper3	40K / 59 GB	19	14
Qwen3 14B Cobalt2	40K / 59 GB	15	3
Bee1reason Arabic Qwen 14B	40K / 29.5 GB	584	8

Note: green Score (e.g. "73.2") means that the model is better than AmberYifan/Qwen3-14B-Instruct-wildfeedback-seed.