What are the hardware requirements for Qwen3 17B QiMing V1.0 Total Recall Medium?

Qwen3 17B QiMing V1.0 Total Recall Medium requires approximately 34.2 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 17B QiMing V1.0 Total Recall Medium and how large is it?

Qwen3 17B QiMing V1.0 Total Recall Medium is developed by DavidAU, 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 17B QiMing V1.0 Total Recall Medium?

Qwen3 17B QiMing V1.0 Total Recall Medium is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 17B QiMing V1.0 Total Recall Medium by DavidAU — VRAM 34.2GB, 40K context

Name: Qwen3 17B QiMing V1.0 Total Recall Medium
Author: DavidAU

Qwen3 17B QiMing V1.0 Total Recall Medium is an open-source language model by DavidAU. Features: 14b LLM, VRAM: 34.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.2.

Arxiv:2309.00071 Arxiv:2401.02415 All use cases Autotrain compatible Bagua Base model:aifeifei798/qiming-... Base model:finetune:aifeifei79... Brainstorm Brainstorm 20x Chat Code Code generation Codegen Codeqwen Coder Coding Cognitive-architecture Conversational Creative De Decision-making En Endpoints compatible Finetuned Fr Moe Optional thinking Philosophy-driven-ai Qiming Qiming-holos Qwen Qwen-coder Qwen2 Qwen3 Region:us Safetensors Sharded Strategic-analysis Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium

Qwen3 17B QiMing V1.0 Total Recall Medium Parameters and Internals

LLM Name	Qwen3 17B QiMing V1.0 Total Recall Medium
Repository 🤗	https://huggingface.co/DavidAU/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium
Base Model(s)	aifeifei798/QiMing-v1.0-14B aifeifei798/QiMing-v1.0-14B
Model Size	14b
Required VRAM	34.2 GB
Updated	2025-09-23
Maintainer	DavidAU
Model Type	qwen3
Model Files	5.0 GB: 1-of-7 4.9 GB: 2-of-7 5.0 GB: 3-of-7 4.9 GB: 4-of-7 5.0 GB: 5-of-7 5.0 GB: 6-of-7 4.4 GB: 7-of-7
Supported Languages	en fr zh de
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.55.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 17B QiMing V1.0 Total Recall Medium 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 Qwen3 17B QiMing V1.0 Total Recall Medium

Best Alternatives	Context / RAM	Downloads	Likes
...JA Qwen3 14B Agentic 256K V0.1	256K / 29.5 GB	28	8
SimpleChat 14B V1	195K / 29.5 GB	10	2
...0528DistillQwen 14B V27.3 200K	195K / 29.5 GB	9	5
...uct 21B Brainstorm20x 128K Ctx	128K / 84.1 GB	8	0
NousCoder 14B	80K / 29.5 GB	379	221
MiroThinker 14B DPO V0.2	64K / 29.7 GB	28	6
UIGEN T3 14B Preview	40K / 29.5 GB	24	22
Qwen3 14B	40K / 29.7 GB	2722973	437
Hermes 4 14B	40K / 29.5 GB	194693	169
Qwen3 14B NVFP4	40K / 10.6 GB	125214	13

Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-17B-QiMing-V1.0-Total-Recall-Medium.