What are the hardware requirements for Gogpt 7B Bloom?

Gogpt 7B Bloom requires approximately 32.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gogpt 7B Bloom and how large is it?

Gogpt 7B Bloom is developed by golaxy, 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 Gogpt 7B Bloom perform on standard benchmarks?

Gogpt 7B Bloom has the following published scores: MMLU 33.81. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gogpt 7B Bloom by golaxy — VRAM 32.3GB

Name: Gogpt 7B Bloom
Author: golaxy

Gogpt 7B Bloom is an open-source language model by golaxy. Features: 7b LLM, VRAM: 32.3GB, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 44.6, HellaSwag: 62.6, MMLU: 33.8.

Bloom Dataset:bellegroup/school math... Dataset:bellegroup/train 0.5m ... Dataset:bellegroup/train 1m cn Dataset:bellegroup/train 2m cn Dataset:bellegroup/train 3.5m ... Endpoints compatible Pytorch Region:us Sharded Zh

Model Card on HF 🤗: https://huggingface.co/golaxy/gogpt-7b-bloom

Gogpt 7B Bloom Parameters and Internals

Model Type

text generation

Additional Notes

Training showed significant improvement in the first round while additional rounds showed little enhancement. Plans to include RLFH training and add parallel Chinese-English corpus.

Supported Languages

zh (full)

Training Details

Data Sources:

BelleGroup/train_2M_CN, BelleGroup/train_3.5M_CN, BelleGroup/train_1M_CN, BelleGroup/train_0.5M_CN, BelleGroup/school_math_0.25M

Methodology:

Fine-tuning with Chinese instruction data

LLM Name	Gogpt 7B Bloom
Repository 🤗	https://huggingface.co/golaxy/gogpt-7b-bloom
Model Size	7b
Required VRAM	32.3 GB
Updated	2026-07-15
Maintainer	golaxy
Model Type	bloom
Model Files	9.9 GB: 1-of-4 9.7 GB: 2-of-4 8.6 GB: 3-of-4 4.1 GB: 4-of-4 0.0 GB 0.0 GB
Supported Languages	zh
Model Architecture	BloomForCausalLM
License	apache-2.0
Model Max Length	2048
Transformers Version	4.29.1
Tokenizer Class	BloomTokenizer
Padding Token	<pad>
Vocabulary Size	250880
Torch Data Type	float32

Rank the Gogpt 7B Bloom 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	0K / 14.2 GB	8	8
Huozi 7B Rlhf	0K / 15.6 GB	2	3

Note: green Score (e.g. "73.2") means that the model is better than golaxy/gogpt-7b-bloom.