What are the hardware requirements for Qwen3.5 9B C3SM SDM Agentic Coder?

Qwen3.5 9B C3SM SDM Agentic Coder requires approximately 20.4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 9B C3SM SDM Agentic Coder and how large is it?

Qwen3.5 9B C3SM SDM Agentic Coder is developed by OliviaRossi, 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 Qwen3.5 9B C3SM SDM Agentic Coder?

Qwen3.5 9B C3SM SDM Agentic Coder is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 9B C3SM SDM Agentic Coder by OliviaRossi — VRAM 20.4GB, 256K context

Name: Qwen3.5 9B C3SM SDM Agentic Coder
Author: OliviaRossi

Qwen3.5 9B C3SM SDM Agentic Coder is an open-source language model by OliviaRossi. Features: 9b LLM, VRAM: 20.4GB, Context: 256K, License: mit, Quantized, LLM Explorer Score: 0.31.

Agentic-coding Base model:empero-ai/qwen3.8-9... Base model:jackrong/qwopus3.5-... Base model:merge:empero-ai/qwe... Base model:merge:jackrong/qwop... Base model:merge:orionllm/oxco... Base model:merge:ornith-ai/orn... Base model:merge:xiaomimimo/mi... Base model:orionllm/oxcoder-9b Base model:ornith-ai/ornith-1.... Base model:xiaomimimo/mimo-v2.... C3sm-sdm Conversational Dare En Gguf Gguf-ready Harmonic-modulation Merge Quantized Qwen2 Qwen3 5 Region:us Safetensors Sharded Spectral-consensus Tensorflow Ties-merging Tool-use Zh

Model Card on HF 🤗: https://huggingface.co/OliviaRossi/Qwen3.5-9B-C3SM-SDM-Agentic-Coder

Qwen3.5 9B C3SM SDM Agentic Coder Parameters and Internals

LLM Name	Qwen3.5 9B C3SM SDM Agentic Coder
Repository 🤗	https://huggingface.co/OliviaRossi/Qwen3.5-9B-C3SM-SDM-Agentic-Coder
Base Model(s)	XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B ornith-ai/Ornith-1.5-9B Jackrong/Qwopus3.5-9B-Coder OxCoder 9B empero-ai/Qwen3.8-9B-Distill XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B ornith-ai/Ornith-1.5-9B Jackrong/Qwopus3.5-9B-Coder OrionLLM/OxCoder-9B empero-ai/Qwen3.8-9B-Distill
Model Size	9b
Required VRAM	20.4 GB
Updated	2026-09-29
Maintainer	OliviaRossi
Model Type	qwen3_5
Model Files	2.6 GB: 1-of-8 2.2 GB: 1-of-9 2.1 GB: 2-of-9 2.2 GB: 3-of-9 1.5 GB: 4-of-9 2.2 GB: 5-of-9 2.2 GB: 6-of-9 2.2 GB: 7-of-9 2.2 GB: 8-of-9 1.0 GB: 9-of-9
Supported Languages	en zh
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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