What are the hardware requirements for Taigi Llama 2 7B?

Taigi Llama 2 7B requires approximately 13.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Taigi Llama 2 7B and how large is it?

Taigi Llama 2 7B is developed by Bohanlu, a model with 7b 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 Taigi Llama 2 7B?

Taigi Llama 2 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Taigi Llama 2 7B by Bohanlu — VRAM 13.9GB, 4K context

Name: Taigi Llama 2 7B
Author: Bohanlu

Taigi Llama 2 7B is an open-source language model by Bohanlu. Features: 7b LLM, VRAM: 13.9GB, Context: 4K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.13.

Arxiv:2403.12024 Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Bohanlu/Taigi-Llama-2-7B

Taigi Llama 2 7B Benchmarks

LLME Score: 0.13474

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Taigi Llama 2 7B (Bohanlu/Taigi-Llama-2-7B)

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Taigi Llama 2 7B Parameters and Internals

Model Type

Causal Language Modeling

Use Cases

Areas:

Causal language modeling tasks in Taiwanese Hokkien

Applications:

Further fine-tuning on specific datasets for downstream tasks

Supported Languages

primary (Taiwanese Hokkien (Hanzi and POJ)), additional_languages (:[), English and Mandarin Chinese due to prior pre-training. ()

Training Details

Data Sources:

Web-scraped data in Taiwanese Hokkien

Data Volume:

78MB

Methodology:

Continued pre-training

Input Output

Input Format:

Text

Accepted Modalities:

text

Output Format:

Text

LLM Name	Taigi Llama 2 7B
Repository 🤗	https://huggingface.co/Bohanlu/Taigi-Llama-2-7B
Model Size	7b
Required VRAM	13.9 GB
Updated	2026-04-03
Maintainer	Bohanlu
Model Type	llama
Model Files	5.0 GB: 1-of-3 4.9 GB: 2-of-3 4.0 GB: 3-of-3
Model Architecture	LlamaForCausalLM
License	cc-by-nc-sa-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	56024
Torch Data Type	bfloat16

Best Alternatives to Taigi Llama 2 7B

Best Alternatives	Context / RAM	Downloads
124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
A6 L	1024K / 16.1 GB	201
M	1024K / 16.1 GB	127
2 Very Sci Fi	1024K / 16.1 GB	317

Note: green Score (e.g. "73.2") means that the model is better than Bohanlu/Taigi-Llama-2-7B.

Rank the Taigi Llama 2 7B 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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Release v20260328a

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Taigi Llama 2 7B by Bohanlu

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Taigi Llama 2 7B Benchmarks

Taigi Llama 2 7B Parameters and Internals

Best Alternatives to Taigi Llama 2 7B

Rank the Taigi Llama 2 7B Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.