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

Qwen3.8 Distilled 9B NPU2 GGUF requires approximately 9.5 GB of VRAM and supports 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 GGUF and how large is it?

Qwen3.8 Distilled 9B NPU2 GGUF 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 GGUF?

Qwen3.8 Distilled 9B NPU2 GGUF 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 GGUF by Atomic-Germ — VRAM 9.5GB, 256K context

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

Qwen3.8 Distilled 9B NPU2 GGUF is an open-source language model by Atomic-Germ. Features: 9b LLM, VRAM: 9.5GB, Context: 256K, License: apache-2.0, Quantized.

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 Quantized Qwen3.5 Qwen3.8 Qwen3.8-froggeric-v22.4 Qwen3 5 Reasoning Region:us V1.0.1 Vision

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

Qwen3.8 Distilled 9B NPU2 GGUF Parameters and Internals

LLM Name	Qwen3.8 Distilled 9B NPU2 GGUF
Repository 🤗	https://huggingface.co/Atomic-Germ/Qwen3.8-Distilled-9B-NPU2-GGUF
Base Model(s)	empero-ai/Qwen3.8-9B-Distill empero-ai/Qwen3.8-9B-Distill
Model Size	9b
Required VRAM	9.5 GB
Updated	2026-10-17
Maintainer	Atomic-Germ
Model Type	qwen3_5
Model Files	9.5 GB
GGUF Quantization	Yes
Quantization Type	gguf
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 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 Qwen3.8 Distilled 9B NPU2 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Ornith 1.5 9B OBLITERATED	0K / 19.4 GB	10421	39
...us Reasoning Distilled V2 GGUF	0K / 0.9 GB	30361	389
...2.6 Distill Qwen 9B Ablitrated	0K / 18.8 GB	2141	15
Qwopus3.5 9B V3 GGUF	0K / 0.9 GB	12266	375
...o V2.6 Distill Qwen 9B Heretic	0K / 18.8 GB	1530	3
Gmcoder	0K / 5.6 GB	1096	10
...istill Qwen 3.8 Flash 20261011	0K / 0.9 GB	430	1
Crow 9B HERETIC 4.6	0K / 18.8 GB	3973	285
Roasteramus	0K / 18.8 GB	717	4
Angry Claudius 9B	0K / 18.8 GB	958	0

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