What are the hardware requirements for Tigerbot 7B Sft V1 4bit?

Tigerbot 7B Sft V1 4bit requires approximately 5.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tigerbot 7B Sft V1 4bit and how large is it?

Tigerbot 7B Sft V1 4bit 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 4bit perform on standard benchmarks?

Tigerbot 7B Sft V1 4bit 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 4bit by TigerResearch — VRAM 5.2GB

Name: Tigerbot 7B Sft V1 4bit
Author: TigerResearch

Tigerbot 7B Sft V1 4bit is an open-source language model by TigerResearch. Features: 7b LLM, VRAM: 5.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.07, Arc: 58.4, HellaSwag: 59.8, MMLU: 31.4, GSM8K: 12.4.

4bit Bloom Endpoints compatible Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TigerResearch/tigerbot-7b-sft-v1-4bit

Tigerbot 7B Sft V1 4bit Parameters and Internals

Model Type

LLM, GPTQ version

Additional Notes

This is a 4-bit GPTQ version of the Tigerbot 7B sft, quantized to 4bit using a specific method.

LLM Name	Tigerbot 7B Sft V1 4bit
Repository 🤗	https://huggingface.co/TigerResearch/tigerbot-7b-sft-v1-4bit
Base Model(s)	Tigerbot 7B Sft V1 TigerResearch/tigerbot-7b-sft-v1
Model Size	7b
Required VRAM	5.2 GB
Updated	2026-08-02
Maintainer	TigerResearch
Model Type	bloom
Model Files	5.2 GB
Quantization Type	4bit
Model Architecture	BloomForCausalLM
License	apache-2.0
Model Max Length	1024
Transformers Version	4.27.0.dev0
Tokenizer Class	BloomTokenizer
Padding Token	<pad>
Vocabulary Size	250682
Torch Data Type	bfloat16

Rank the Tigerbot 7B Sft V1 4bit 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

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Vietcuna 7B V3 AWQ	0K / 7.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than TigerResearch/tigerbot-7b-sft-v1-4bit.