What are the hardware requirements for Tigerbot 7B Sft V1?

Tigerbot 7B Sft V1 requires approximately 16.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tigerbot 7B Sft V1 and how large is it?

Tigerbot 7B Sft V1 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 Sft V1 perform on standard benchmarks?

Tigerbot 7B Sft V1 has the following published scores: MMLU 31.4. Compare against reference models on this page or on the LLM Explorer leaderboards.

Tigerbot 7B Sft V1 by tigerresearch — VRAM 16.2GB

Name: Tigerbot 7B Sft V1
Author: tigerresearch

Tigerbot 7B Sft V1 is an open-source language model by tigerresearch. Features: 7b LLM, VRAM: 16.2GB, License: apache-2.0, LLM Explorer Score: 0.07, Arc: 58.4, HellaSwag: 59.8, MMLU: 31.4, GSM8K: 12.4.

Bloom Endpoints compatible Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/TigerResearch/tigerbot-7b-sft-v1

Tigerbot 7B Sft V1 Parameters and Internals

Model Type

text generation

Additional Notes

The model is intended for text generation tasks, and offers customization options via Hugging Face.

Input Output

Input Format:

{instruction}

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Adjust 'top_p' and 'temperature' for better performance.

LLM Name	Tigerbot 7B Sft V1
Repository 🤗	https://huggingface.co/TigerResearch/tigerbot-7b-sft-v1
Model Size	7b
Required VRAM	16.2 GB
Updated	2026-07-16
Maintainer	tigerresearch
Model Type	bloom
Model Files	10.0 GB: 1-of-2 6.2 GB: 2-of-2
Model Architecture	BloomForCausalLM
License	apache-2.0
Model Max Length	1024
Transformers Version	4.28.1
Tokenizer Class	BloomTokenizer
Padding Token	<pad>
Vocabulary Size	250682
Torch Data Type	float16

Rank the Tigerbot 7B Sft V1 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

Quantized Models of the Tigerbot 7B Sft V1

Model	Likes	Downloads	VRAM
Tigerbot 7B Sft V1 4bit	6	5	5 GB

Best Alternatives to Tigerbot 7B Sft V1

Best Alternatives	Context / RAM	Downloads	Likes
...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	5	0
...lama 2 7B Chat Hf Text Teacher	0K / 2.2 GB	5	0
Yayi 7B	0K / 28.2 GB	117	30
Gogpt 7B Bloom	0K / 32.3 GB	127	3
Phoenix Inst Chat 7B	0K / 16.2 GB	61	43
Vietcuna 7B 2k5	0K / 14.2 GB	16	0
Bloom Xp3	0K / 32.4 GB	5	0
Vietcuna 7B V3	0K / 14.2 GB	8	8

Note: green Score (e.g. "73.2") means that the model is better than TigerResearch/tigerbot-7b-sft-v1.