What are the hardware requirements for AnchorSR Qwen3.5 9B SFT V4?

AnchorSR Qwen3.5 9B SFT V4 requires approximately 18.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AnchorSR Qwen3.5 9B SFT V4 and how large is it?

AnchorSR Qwen3.5 9B SFT V4 is developed by AnchorSR, 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 AnchorSR Qwen3.5 9B SFT V4?

AnchorSR Qwen3.5 9B SFT V4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AnchorSR Qwen3.5 9B SFT V4 by AnchorSR — VRAM 18.8GB

Name: AnchorSR Qwen3.5 9B SFT V4
Author: AnchorSR

AnchorSR Qwen3.5 9B SFT V4 is an open-source language model by AnchorSR. Features: 9b LLM, VRAM: 18.8GB, LLM Explorer Score: 0.27.

Anchorsr Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-9b Conversational Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors Sft V4 Video

Model Card on HF 🤗: https://huggingface.co/AnchorSR/AnchorSR-Qwen3.5-9B-SFT-v4

AnchorSR Qwen3.5 9B SFT V4 Parameters and Internals

LLM Name	AnchorSR Qwen3.5 9B SFT V4
Repository 🤗	https://huggingface.co/AnchorSR/AnchorSR-Qwen3.5-9B-SFT-v4
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	18.8 GB
Updated	2026-09-21
Maintainer	AnchorSR
Model Type	qwen3_5
Model Files	18.8 GB
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	5.8.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the AnchorSR Qwen3.5 9B SFT V4 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 AnchorSR Qwen3.5 9B SFT V4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	4234	4
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Ornith 1.0 9B	0K / 18.8 GB	1151715	545
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
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
Qwythos 9B V2	0K / 19.3 GB	19208	156
Ornith 1.5 9B	0K / 18.9 GB	1324	120

Note: green Score (e.g. "73.2") means that the model is better than AnchorSR/AnchorSR-Qwen3.5-9B-SFT-v4.