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

Qwen3.8 9B Hermes Fc Tooluse requires approximately 18.8 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 Tooluse and how large is it?

Qwen3.8 9B Hermes Fc Tooluse 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 Tooluse?

Qwen3.8 9B Hermes Fc Tooluse 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 Tooluse by JamieBradfield — VRAM 18.8GB

Name: Qwen3.8 9B Hermes Fc Tooluse
Author: JamieBradfield

Qwen3.8 9B Hermes Fc Tooluse is an open-source language model by JamieBradfield. Features: 9b LLM, VRAM: 18.8GB, License: apache-2.0, LLM Explorer Score: 0.29.

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

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

Qwen3.8 9B Hermes Fc Tooluse Parameters and Internals

LLM Name	Qwen3.8 9B Hermes Fc Tooluse
Repository 🤗	https://huggingface.co/JamieBradfield/qwen3.8-9b-hermes-fc-tooluse
Base Model(s)	empero-ai/Qwen3.8-9B-Distill empero-ai/Qwen3.8-9B-Distill
Model Size	9b
Required VRAM	18.8 GB
Updated	2026-09-06
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 1.5 GB: 8-of-13 1.5 GB: 9-of-13 1.4 GB: 10-of-13 2.0 GB: 11-of-13 2.0 GB: 12-of-13 0.5 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 Tooluse 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 9B Hermes Fc Tooluse

Best Alternatives	Context / RAM	Downloads	Likes
HYZ 01 9B	256K / 18.8 GB	102	1
Clef Flash	0K / 18.8 GB	36817	853
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	807732	565
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
Elephant 1	0K / 18.8 GB	1344	75
Flux 3 Image Klein Pup	0K / 18.8 GB	6948	54
LensVLM 9B	0K / 18.8 GB	1840	258

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