What are the hardware requirements for Qwen2.5 32B Dark Days Stage2?

Qwen2.5 32B Dark Days Stage2 requires approximately 65.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 32B Dark Days Stage2 and how large is it?

Qwen2.5 32B Dark Days Stage2 is developed by trashpanda-org, a model with 32b 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 Qwen2.5 32B Dark Days Stage2?

Qwen2.5 32B Dark Days Stage2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 32B Dark Days Stage2 by trashpanda-org — VRAM 65.8GB, 128K context

Name: Qwen2.5 32B Dark Days Stage2
Author: trashpanda-org

Qwen2.5 32B Dark Days Stage2 is an open-source language model by trashpanda-org. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.17.

Base model:finetune:trashpanda... Base model:trashpanda-org/qwen... Conversational Dataset:datasets/amoral-r1.jso... Dataset:datasets/c2-logs-clean... Dataset:datasets/claude-sonnet... Dataset:datasets/competition-m... Dataset:datasets/creative-writ... Dataset:datasets/discord-logs-... Dataset:datasets/floyd-instruc... Dataset:datasets/gpqa-benchmax... Dataset:datasets/gryphe-4o-wp-... Dataset:datasets/kalo-opus-22k... Dataset:datasets/limo-sharegpt... Dataset:datasets/medical-o1-re... Dataset:datasets/opencai rp sh... Dataset:datasets/systemchat-1k... Dataset:datasets/tot-bio-2k-su... Dataset:datasets/ubw tapestrie... Dataset:datasets/woke-identity... Endpoints compatible Generated from trainer Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/trashpanda-org/Qwen2.5-32B-Dark-Days-stage2

Qwen2.5 32B Dark Days Stage2 Parameters and Internals

LLM Name	Qwen2.5 32B Dark Days Stage2
Repository 🤗	https://huggingface.co/trashpanda-org/Qwen2.5-32B-Dark-Days-stage2
Base Model(s)	trashpanda-org/Qwen2.5-32B-31-clush-stage1 trashpanda-org/Qwen2.5-32B-31-clush-stage1
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-07-22
Maintainer	trashpanda-org
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 32B Dark Days Stage2 capabilities

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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 Qwen2.5 32B Dark Days Stage2

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Archaeo 32B KTO	128K / 65.8 GB	19	4
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B YOYO MIX	128K / 65.7 GB	8	2

Note: green Score (e.g. "73.2") means that the model is better than trashpanda-org/Qwen2.5-32B-Dark-Days-stage2.