What are the hardware requirements for Alpaca Data Ifd Max 2600 3B?

Alpaca Data Ifd Max 2600 3B requires approximately 6.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Alpaca Data Ifd Max 2600 3B and how large is it?

Alpaca Data Ifd Max 2600 3B is developed by godlikehhd, a model with 3b 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 Alpaca Data Ifd Max 2600 3B?

Alpaca Data Ifd Max 2600 3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Alpaca Data Ifd Max 2600 3B by godlikehhd — VRAM 6.2GB, 32K context

Name: Alpaca Data Ifd Max 2600 3B
Author: godlikehhd

Alpaca Data Ifd Max 2600 3B is an open-source language model by godlikehhd. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.21.

Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/godlikehhd/alpaca_data_ifd_max_2600_3B

Alpaca Data Ifd Max 2600 3B Parameters and Internals

LLM Name	Alpaca Data Ifd Max 2600 3B
Repository 🤗	https://huggingface.co/godlikehhd/alpaca_data_ifd_max_2600_3B
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-05-02
Maintainer	godlikehhd
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Alpaca Data Ifd Max 2600 3B 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

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Note: green Score (e.g. "73.2") means that the model is better than godlikehhd/alpaca_data_ifd_max_2600_3B.