What are the hardware requirements for Cedar Qwen9b Sft V2?

Cedar Qwen9b Sft V2 requires approximately 17.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cedar Qwen9b Sft V2 and how large is it?

Cedar Qwen9b Sft V2 is developed by StephenChou, 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 Cedar Qwen9b Sft V2?

Cedar Qwen9b Sft V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cedar Qwen9b Sft V2 by StephenChou — VRAM 17.9GB

Name: Cedar Qwen9b Sft V2
Author: StephenChou

Cedar Qwen9b Sft V2 is an open-source language model by StephenChou. Features: 9b LLM, VRAM: 17.9GB, LLM Explorer Score: 0.24.

Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/StephenChou/cedar-qwen9b-sft-v2

Cedar Qwen9b Sft V2 Parameters and Internals

LLM Name	Cedar Qwen9b Sft V2
Repository 🤗	https://huggingface.co/StephenChou/cedar-qwen9b-sft-v2
Model Size	9b
Required VRAM	17.9 GB
Updated	2026-09-27
Maintainer	StephenChou
Model Type	qwen3_5
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.0 GB: 4-of-4
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Cedar Qwen9b Sft V2 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 Cedar Qwen9b Sft V2

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
Ornith 1.0 9B	0K / 18.8 GB	818389	568
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
LensVLM 9B	0K / 18.8 GB	1840	258
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Flux 3 Image Klein Pup	0K / 18.8 GB	6948	54

Note: green Score (e.g. "73.2") means that the model is better than StephenChou/cedar-qwen9b-sft-v2.