What are the hardware requirements for Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit?

Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit requires approximately 9.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit and how large is it?

Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit is developed by Kadabra, a model with 4b 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 4B Base CPT Gascon Enrichie SFT 16Bit?

Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit by Kadabra — VRAM 9.1GB

Name: Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit
Author: Kadabra

Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit is an open-source language model by Kadabra. Features: 4b LLM, VRAM: 9.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.27.

16bit Base model:finetune:kadabra/qw... Base model:kadabra/qwen3.5-4b-... Conversational En Endpoints compatible Image-text-to-text Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Kadabra/Qwen3.5-4B-Base-CPT-Gascon-Enrichie-SFT-16Bit

Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit Parameters and Internals

LLM Name	Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit
Repository 🤗	https://huggingface.co/Kadabra/Qwen3.5-4B-Base-CPT-Gascon-Enrichie-SFT-16Bit
Model Name	/root/.unsloth/studio/outputs/Kadabra_Qwen3.5-4B-Base-CPT-Gascon-Enrichie_1792435715
Base Model(s)	Kadabra/Qwen3.5-4B-Base-CPT-Gascon-Enrichie-SFT-16Bit Kadabra/Qwen3.5-4B-Base-CPT-Gascon-Enrichie-SFT-16Bit
Model Size	4b
Required VRAM	9.1 GB
Updated	2026-10-27
Maintainer	Kadabra
Model Type	qwen3_5
Model Files	5.0 GB: 1-of-2 4.1 GB: 2-of-2
Supported Languages	en
Quantization Type	16bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>

Rank the Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit 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

Quantized Models of the Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit

Model	Likes	Downloads	VRAM
... CPT Gascon Enrichie SFT 16Bit	0	41	9 GB

Best Alternatives to Qwen3.5 4B Base CPT Gascon Enrichie SFT 16Bit

Best Alternatives	Context / RAM	Downloads	Likes
Underdog Woof 4B 1.1	0K / 2.4 GB	1866	23
Jugurtha 4B MLX 4bit	0K / 2.4 GB	157	2
Qwen3.5 4B MLX 4bit	0K / 3 GB	28023	32
H2o Lightning 4B Mlx Q8	0K / 5.1 GB	158	2
LightOnOCR 3 4B 4bit	0K / 3 GB	177	1
Loopl 4B 4bit	0K / 3 GB	170	1
...Bonsai 2 4B ONNX WebGPU Vision	0K / GB	69	1
Sbzhanzhang	0K / 2.4 GB	158	1
H2o Lightning 4B Mlx Q4	0K / 3 GB	95	1
Qwen3.5 4B OptiQ 4bit	0K / 0.1 GB	7823	23

Note: green Score (e.g. "73.2") means that the model is better than Kadabra/Qwen3.5-4B-Base-CPT-Gascon-Enrichie-SFT-16Bit.