What are the hardware requirements for Qwen3.8 Distilled 9B NPU2?

Qwen3.8 Distilled 9B NPU2 requires a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Distilled 9B NPU2 and how large is it?

Qwen3.8 Distilled 9B NPU2 is developed by Atomic-Germ, a model with 9b 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 Qwen3.8 Distilled 9B NPU2?

Qwen3.8 Distilled 9B NPU2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 Distilled 9B NPU2 by Atomic-Germ — 256K context

Name: Qwen3.8 Distilled 9B NPU2
Author: Atomic-Germ

Qwen3.8 Distilled 9B NPU2 is an open-source language model by Atomic-Germ. Features: 9b LLM, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:empero-ai/qwen3.8-9... Base model:quantized:empero-ai... Conversational Distillation Empero-ai Endpoints compatible Fastflowlm Flm Function-calling Gguf Image-text-to-text Npu2 Q4nx Qwen3.5 Qwen3.8 Qwen3.8-froggeric-v22.4 Qwen3 5 Reasoning Region:us Sft V1.0.1 Vision

Model Card on HF 🤗: https://huggingface.co/Atomic-Germ/Qwen3.8-Distilled-9B-NPU2

Qwen3.8 Distilled 9B NPU2 Parameters and Internals

LLM Name	Qwen3.8 Distilled 9B NPU2
Repository 🤗	https://huggingface.co/Atomic-Germ/Qwen3.8-Distilled-9B-NPU2
Base Model(s)	empero-ai/Qwen3.8-9B-Distill empero-ai/Qwen3.8-9B-Distill
Model Size	9b
Updated	2026-09-13
Maintainer	Atomic-Germ
Model Type	qwen3_5_text
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.8 Distilled 9B NPU2 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 Qwen3.8 Distilled 9B NPU2

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Ornith 1.0 9B	0K / 18.8 GB	1244753	542
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
WeMM Embedding 9B	0K / 18.8 GB	2618	105
Ornith 1.5 9B	0K / 18.9 GB	1324	120
Qwythos 9B V2	0K / 19.3 GB	19208	156
OxCoder 9B	0K / 18.8 GB	357	28

Note: green Score (e.g. "73.2") means that the model is better than Atomic-Germ/Qwen3.8-Distilled-9B-NPU2.