What are the hardware requirements for Qwen3.5 Text 9B Bnb 4bit?

Qwen3.5 Text 9B Bnb 4bit requires approximately 7.6 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 Text 9B Bnb 4bit and how large is it?

Qwen3.5 Text 9B Bnb 4bit is developed by techwithsergiu, 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 Text 9B Bnb 4bit?

Qwen3.5 Text 9B Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 Text 9B Bnb 4bit by techwithsergiu — VRAM 7.6GB, 256K context

Name: Qwen3.5 Text 9B Bnb 4bit
Author: techwithsergiu

Qwen3.5 Text 9B Bnb 4bit is an open-source language model by techwithsergiu. Features: 9b LLM, VRAM: 7.6GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.25.

4-bit 4bit Base model:quantized:techwiths... Base model:techwithsergiu/qwen... Bitsandbytes Conversational Endpoints compatible Quantized Qwen3 5 text Region:us Safetensors Techwithsergiu

Model Card on HF 🤗: https://huggingface.co/techwithsergiu/Qwen3.5-text-9B-bnb-4bit

Qwen3.5 Text 9B Bnb 4bit Parameters and Internals

LLM Name	Qwen3.5 Text 9B Bnb 4bit
Repository 🤗	https://huggingface.co/techwithsergiu/Qwen3.5-text-9B-bnb-4bit
Base Model(s)	techwithsergiu/Qwen3.5-text-9B techwithsergiu/Qwen3.5-text-9B
Model Size	9b
Required VRAM	7.6 GB
Updated	2026-08-12
Maintainer	techwithsergiu
Model Type	qwen3_5_text
Model Files	7.6 GB
Quantization Type	4bit
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.3.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Vocabulary Size	248320
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3.5 Text 9B Bnb 4bit 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 Qwen3.5 Text 9B Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...wen3.5 9B Abliterated MLX 4bit	256K / 5 GB	1063	10
Tmax 9B MLX 8bit	0K / 9.5 GB	79	1
Ornith 1.0 9B NVFP4 AWQ	256K / 8 GB	3779	3
Merlin Agent	256K / 17.9 GB	571	9
Carnice 9B	256K / 17.9 GB	358	186
FuseLLM 9B	256K / 17.9 GB	574	0
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 techwithsergiu/Qwen3.5-text-9B-bnb-4bit.