What are the hardware requirements for Qwen3.8 9B Hermes Fc Clean Restraint?

Qwen3.8 9B Hermes Fc Clean Restraint requires approximately 18.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 9B Hermes Fc Clean Restraint and how large is it?

Qwen3.8 9B Hermes Fc Clean Restraint is developed by JamieBradfield, 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 9B Hermes Fc Clean Restraint?

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

Qwen3.8 9B Hermes Fc Clean Restraint by JamieBradfield — VRAM 18.3GB

Name: Qwen3.8 9B Hermes Fc Clean Restraint
Author: JamieBradfield

Qwen3.8 9B Hermes Fc Clean Restraint is an open-source language model by JamieBradfield. Features: 9b LLM, VRAM: 18.3GB, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:empero-ai/qwen3.8-9... Base model:finetune:empero-ai/... Contamination-ab Conversational En Endpoints compatible Finetuned Function-calling Image-text-to-text Qlora Qwen3.5 Qwen3 5 Region:us Restraint Safetensors Sharded Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/JamieBradfield/qwen3.8-9b-hermes-fc-clean-restraint

Qwen3.8 9B Hermes Fc Clean Restraint Parameters and Internals

LLM Name	Qwen3.8 9B Hermes Fc Clean Restraint
Repository 🤗	https://huggingface.co/JamieBradfield/qwen3.8-9b-hermes-fc-clean-restraint
Base Model(s)	empero-ai/Qwen3.8-9B-Distill empero-ai/Qwen3.8-9B-Distill
Model Size	9b
Required VRAM	18.3 GB
Updated	2026-09-04
Maintainer	JamieBradfield
Model Type	qwen3_5
Model Files	1.4 GB: 1-of-13 1.4 GB: 2-of-13 1.4 GB: 3-of-13 1.4 GB: 4-of-13 1.4 GB: 5-of-13 1.5 GB: 6-of-13 1.4 GB: 7-of-13 0.6 GB: 8-of-13 2.0 GB: 9-of-13 2.0 GB: 10-of-13 1.5 GB: 11-of-13 1.5 GB: 12-of-13 0.8 GB: 13-of-13
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 9B Hermes Fc Clean Restraint 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 Qwen3.8 9B Hermes Fc Clean Restraint

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	2341	3
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Ornith 1.0 9B	0K / 18.8 GB	1694531	540
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
WeMM Embedding 9B	0K / 18.8 GB	2618	105
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Ornith 1.5 9B	0K / 18.9 GB	1324	120
Qwythos 9B V2	0K / 19.3 GB	19208	156

Note: green Score (e.g. "73.2") means that the model is better than JamieBradfield/qwen3.8-9b-hermes-fc-clean-restraint.