What are the hardware requirements for Qwen3.5 0.8B Jopara Epoch CPT?

Qwen3.5 0.8B Jopara Epoch CPT requires approximately 1.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 0.8B Jopara Epoch CPT and how large is it?

Qwen3.5 0.8B Jopara Epoch CPT is developed by Capibara-LLM, a model with 0.8b 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 0.8B Jopara Epoch CPT?

Qwen3.5 0.8B Jopara Epoch CPT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 0.8B Jopara Epoch CPT by Capibara-LLM — VRAM 1.8GB

Name: Qwen3.5 0.8B Jopara Epoch CPT
Author: Capibara-LLM

Qwen3.5 0.8B Jopara Epoch CPT is an open-source language model by Capibara-LLM. Features: 0.8b LLM, VRAM: 1.8GB, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen3.5-0.8... Conversational En Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Capibara-LLM/Qwen3.5-0.8B-Jopara-Epoch-CPT

Qwen3.5 0.8B Jopara Epoch CPT Parameters and Internals

LLM Name	Qwen3.5 0.8B Jopara Epoch CPT
Repository 🤗	https://huggingface.co/Capibara-LLM/Qwen3.5-0.8B-Jopara-Epoch-CPT
Base Model(s)	unsloth/Qwen3.5-0.8B unsloth/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	1.8 GB
Updated	2026-11-06
Maintainer	Capibara-LLM
Model Type	qwen3_5
Model Files	1.8 GB: 1-of-1
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Errors	replace

Rank the Qwen3.5 0.8B Jopara Epoch CPT 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 0.8B Jopara Epoch CPT

Best Alternatives	Context / RAM	Downloads	Likes
... 0.8B Weight Space Programming	0K / 1.8 GB	1297	90
OvisOCR3	0K / 1.7 GB	4972	109
... 0.8B Weight Space Programming	0K / 1.8 GB	227	56
Xiaomi OCR 0	0K / 1.8 GB	16009	164
Qwen3.5 0.8B	0K / 1.8 GB	2839884	655
OvisOCR2	0K / 1.7 GB	83978	506
MinerU2.5 Flash 0.8B	0K / 1.7 GB	23	1
Qwen3.5 0.8B Astra WeightEdit	0K / 1.8 GB	141	19
LightOnOCR 3 0.8B	0K / 1.7 GB	1318	48
Qwen3.5 0.8B Base	0K / 1.8 GB	828054	92

Note: green Score (e.g. "73.2") means that the model is better than Capibara-LLM/Qwen3.5-0.8B-Jopara-Epoch-CPT.