What are the hardware requirements for Tigerbot 7B Base V2?

Tigerbot 7B Base V2 requires approximately 14.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tigerbot 7B Base V2 and how large is it?

Tigerbot 7B Base V2 is developed by tigerresearch, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Tigerbot 7B Base V2 perform on standard benchmarks?

Tigerbot 7B Base V2 has the following published scores: MMLU 23.7. Compare against reference models on this page or on the LLM Explorer leaderboards.

Tigerbot 7B Base V2 by tigerresearch — VRAM 14.2GB

Name: Tigerbot 7B Base V2
Author: tigerresearch

Tigerbot 7B Base V2 is an open-source language model by tigerresearch. Features: 7b LLM, VRAM: 14.2GB, License: apache-2.0, LLM Explorer Score: 0.09, Arc: 20.1, HellaSwag: 58, MMLU: 23.7, GSM8K: 6.1.

Bloom Endpoints compatible Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/TigerResearch/tigerbot-7b-base-v2

Tigerbot 7B Base V2 Benchmarks

ARC: 20.1 vs 96.7 (so35)^-79.2%

HellaSwag: 58 vs 95.3 (gpt4)^-39.1%

MMLU: 23.7 vs 88.3 (so35)^-73.2%

GSM8K: 6.1 vs 96.4 (so35)^-93.7%

OpenCompas: 31.1 vs 73.3 (gpt4)^-57.6%

Exam: 22.9 vs 77.2 (gpt4)^-70.3%

Language: 30.7 vs 62 (gpt4)^-50.5%

Knowledge: 31.9 vs 73.5 (gpt4)^-56.6%

Understand: 31.2 vs 70 (gpt4)^-55.4%

Reasoning: 33.3 vs 74.4 (gpt4)^-55.2%

LLME Score: 0.08562

^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)

Tigerbot 7B Base V2 (TigerResearch/tigerbot-7b-base-v2)

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Tigerbot 7B Base V2 Parameters and Internals

Model Type

text generation

LLM Name	Tigerbot 7B Base V2
Repository 🤗	https://huggingface.co/TigerResearch/tigerbot-7b-base-v2
Model Size	7b
Required VRAM	14.2 GB
Updated	2026-06-06
Maintainer	tigerresearch
Model Type	bloom
Model Files	0.0 GB: 1-of-9 2.0 GB: 2-of-9 1.9 GB: 3-of-9 1.9 GB: 4-of-9 2.0 GB: 5-of-9 1.9 GB: 6-of-9 1.9 GB: 7-of-9 1.9 GB: 8-of-9 0.7 GB: 9-of-9
Model Architecture	BloomForCausalLM
License	apache-2.0
Model Max Length	1024
Transformers Version	4.30.2
Tokenizer Class	BloomTokenizer
Padding Token	<pad>
Vocabulary Size	250680
Torch Data Type	bfloat16

Best Alternatives to Tigerbot 7B Base V2

Best Alternatives	Context / RAM	Downloads	Likes
Yayi 7B	0K / 28.2 GB	965	30
Gogpt 7B Bloom	0K / 32.3 GB	825	3
...tral 7B Instruct V0.2 Uld Loss	0K / 2.2 GB	14	0
... 7B Instruct V0.2 Text Teacher	0K / 2.2 GB	13	0
...Qa Llama 2 7B Chat Hf Uld Loss	0K / 2.2 GB	6	0
...lama 2 7B Chat Hf Text Teacher	0K / 2.2 GB	5	0
Phoenix Inst Chat 7B	0K / 16.2 GB	848	43
Vietcuna 7B 2k5	0K / 14.2 GB	16	0
Bloom Xp3	0K / 32.4 GB	5	0
Tigerbot 7B Sft V2	0K / 14.2 GB	668	8

Note: green Score (e.g. "73.2") means that the model is better than TigerResearch/tigerbot-7b-base-v2.

Rank the Tigerbot 7B Base V2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Tigerbot 7B Base V2 by tigerresearch

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Tigerbot 7B Base V2 Benchmarks

Tigerbot 7B Base V2 Parameters and Internals

Best Alternatives to Tigerbot 7B Base V2

Rank the Tigerbot 7B Base V2 Capabilities

What open-source LLMs or SLMs are you in search of? 54358 in total.