What are the hardware requirements for Needle2?

Needle2 requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Needle2 and how large is it?

Needle2 is developed by Cactus-Compute. 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 Needle2?

Needle2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Needle2 by Cactus-Compute — 2K context

Name: Needle2
Author: Cactus-Compute

Needle2 is an open-source language model by Cactus-Compute. Features: LLM, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.36.

Arxiv:2607.18363 Cactus-needle Edge Function-calling Needle On-device Quantization Region:us Tool-calling Webassembly

Model Card on HF 🤗: https://huggingface.co/Cactus-Compute/needle2

Needle2 Parameters and Internals

LLM Name	Needle2
Repository 🤗	https://huggingface.co/Cactus-Compute/needle2
Updated	2026-10-21
Maintainer	Cactus-Compute
Model Type	needle
Model Architecture	NeedleForToolCalling
License	apache-2.0
Context Length	2048
Model Max Length	2048
Vocabulary Size	8192
Torch Data Type	float16

Rank the Needle2 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 Needle2

Best Alternatives	Context / RAM	Downloads	Likes
Needle3	8K / GB	127039	344
Needle2	2K / GB	465	1

Note: green Score (e.g. "73.2") means that the model is better than Cactus-Compute/needle2.