What are the hardware requirements for Qwen 3 Panda Agi 3.3 DPO 8epochs?

Qwen 3 Panda Agi 3.3 DPO 8epochs requires approximately 16.4 GB of VRAM and supports a context window of 80K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen 3 Panda Agi 3.3 DPO 8epochs and how large is it?

Qwen 3 Panda Agi 3.3 DPO 8epochs is developed by maidacundo, a model with 8.2b 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 Qwen 3 Panda Agi 3.3 DPO 8epochs?

Qwen 3 Panda Agi 3.3 DPO 8epochs is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 3 Panda Agi 3.3 DPO 8epochs by maidacundo — VRAM 16.4GB, 80K context

Name: Qwen 3 Panda Agi 3.3 DPO 8epochs
Author: maidacundo

Qwen 3 Panda Agi 3.3 DPO 8epochs is an open-source language model by maidacundo. Features: 8.2b LLM, VRAM: 16.4GB, Context: 80K, License: apache-2.0, LLM Explorer Score: 0.19.

Autotrain compatible Base model:finetune:maidacundo... Base model:maidacundo/qwen-3-p... Conversational En Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/maidacundo/qwen-3-panda-agi-3.3-dpo-8epochs

Qwen 3 Panda Agi 3.3 DPO 8epochs Parameters and Internals

LLM Name	Qwen 3 Panda Agi 3.3 DPO 8epochs
Repository 🤗	https://huggingface.co/maidacundo/qwen-3-panda-agi-3.3-dpo-8epochs
Base Model(s)	maidacundo/qwen-3-panda-agi-v3.2 maidacundo/qwen-3-panda-agi-v3.2
Model Size	8.2b
Required VRAM	16.4 GB
Updated	2025-07-08
Maintainer	maidacundo
Model Type	qwen3
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.6 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	81920
Model Max Length	81920
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen 3 Panda Agi 3.3 DPO 8epochs capabilities

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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Multi-Language Support and Translation

Best Alternatives to Qwen 3 Panda Agi 3.3 DPO 8epochs

Best Alternatives	Context / RAM	Downloads
...nical Understanding Model V2.1	128K / 16.4 GB	7
Intern S1 Mini Lm	64K / 16.4 GB	307
Diallm Qwen Sft Aus	40K / 16.4 GB	46
Diallm Qwen Sft Brit	40K / 16.4 GB	36
Diallm Qwen Sft All	40K / 16.4 GB	7
Diallm Qwen Sft Ind	40K / 16.4 GB	5
S V3 1ep	40K / 16.4 GB	5
...wen Hook Layer 9 Posneg Merged	40K / 16.4 GB	42
... Hook Layer 9 Step 1000 Merged	40K / 16.4 GB	8
...b5 48d5 412d 9d91 A04b992fc59f	32K / 32.7 GB	7

Note: green Score (e.g. "73.2") means that the model is better than maidacundo/qwen-3-panda-agi-3.3-dpo-8epochs.