What are the hardware requirements for Qwen3.8 9B Hermes Function Calling V1?

Qwen3.8 9B Hermes Function Calling V1 requires approximately 18.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 9B Hermes Function Calling V1 and how large is it?

Qwen3.8 9B Hermes Function Calling V1 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 Function Calling V1?

Qwen3.8 9B Hermes Function Calling V1 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 Function Calling V1 by JamieBradfield — VRAM 18.2GB

Name: Qwen3.8 9B Hermes Function Calling V1
Author: JamieBradfield

Qwen3.8 9B Hermes Function Calling V1 is an open-source language model by JamieBradfield. Features: 9b LLM, VRAM: 18.2GB, License: apache-2.0, Fine-Tuned, LLM Explorer Score: 0.31.

Conversational En Endpoints compatible Finetuned Function-calling Qlora Qwen3.5 Qwen3 5 Region:us Safetensors Sharded Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/JamieBradfield/qwen3.8-9b-hermes-function-calling-v1

Qwen3.8 9B Hermes Function Calling V1 Parameters and Internals

LLM Name	Qwen3.8 9B Hermes Function Calling V1
Repository 🤗	https://huggingface.co/JamieBradfield/qwen3.8-9b-hermes-function-calling-v1
Base Model(s)	Empero/Qwen3.8-9B Empero/Qwen3.8-9B
Model Size	9b
Required VRAM	18.2 GB
Updated	2026-08-22
Maintainer	JamieBradfield
Model Type	qwen3_5
Model Files	1.4 GB: 1-of-12 1.4 GB: 2-of-12 1.4 GB: 3-of-12 1.4 GB: 4-of-12 1.4 GB: 5-of-12 1.4 GB: 6-of-12 1.4 GB: 7-of-12 1.5 GB: 8-of-12 1.5 GB: 9-of-12 1.4 GB: 10-of-12 2.0 GB: 11-of-12 2.0 GB: 12-of-12
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
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 Function Calling V1 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 Function Calling V1

Best Alternatives	Context / RAM	Downloads	Likes
Le Gros Chaton	256K / 17.9 GB	235	1
Dot	256K / 17.9 GB	311	1
....5 9B Merged V5.3 SFT Selected	256K / 17.9 GB	43	0
Merlin Agent	256K / 17.9 GB	571	9
FuseLLM 9B	256K / 17.9 GB	574	0
Carnice 9B	256K / 17.9 GB	358	186
Qwen3.5 9B Abliterated	256K / 17.9 GB	2422	59
Mitra Qwen35 Base Stage2	256K / 17.9 GB	20	0
Carnice 9B SFT Fable5 Glint	256K / 17.9 GB	66	0
Qwen3.5 9B Text Only	256K / 17.9 GB	595	8

Note: green Score (e.g. "73.2") means that the model is better than JamieBradfield/qwen3.8-9b-hermes-function-calling-v1.