What are the hardware requirements for Darwin 2B Opus?

Darwin 2B Opus requires approximately 3.8 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 Darwin 2B Opus and how large is it?

Darwin 2B Opus is developed by FINAL-Bench, a model with 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 Darwin 2B Opus?

Darwin 2B Opus is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Darwin 2B Opus by FINAL-Bench — VRAM 3.8GB, 256K context

Name: Darwin 2B Opus
Author: FINAL-Bench

Darwin 2B Opus is an open-source language model by FINAL-Bench. Features: 2b LLM, VRAM: 3.8GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.24.

Arxiv:2605.14386 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-2b Claude-opus Conversational Darwin Darwin-v8 En Endpoints compatible Ja Ko Korean Lora Lora-merged Opus-distilled Qwen3.5 Qwen3 5 text Reasoning Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/FINAL-Bench/Darwin-2B-Opus

Darwin 2B Opus Parameters and Internals

LLM Name	Darwin 2B Opus
Repository 🤗	https://huggingface.co/FINAL-Bench/Darwin-2B-Opus
Base Model(s)	Qwen/Qwen3.5-2B Qwen/Qwen3.5-2B
Model Size	2b
Required VRAM	3.8 GB
Updated	2026-07-15
Maintainer	FINAL-Bench
Model Type	qwen3_5_text
Model Files	3.8 GB
Supported Languages	en ko zh ja
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.5.4
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
LoRA Model	Yes
Errors	replace

Rank the Darwin 2B Opus 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 Darwin 2B Opus

Best Alternatives	Context / RAM	Downloads	Likes
Soren 1 Small	1024K / 3.8 GB	135	37
Noema 1.5 2B	256K / 3.8 GB	322	0
Noema 2B	256K / 3.8 GB	385	1
QwenSeek 2B	256K / 3.8 GB	21	10
Qwen3.5 2B Text Only	256K / 3.8 GB	209	8
QwenSeek 2B Heretic	256K / 3.8 GB	9	1
Hito 2B	256K / 3.8 GB	39	1
CrystalThink 2B	256K / 3.8 GB	7	1
Qwenite3.5 2B	256K / 3.8 GB	14	0
...rtleby Dlo Qwen3.5 2B Base Cpt	256K / 3.8 GB	14	0

Note: green Score (e.g. "73.2") means that the model is better than FINAL-Bench/Darwin-2B-Opus.