Bloom-3b Open-Source Large Language Model - An Efficient Text Generation Tool Supporting 46 Languages

Bloom 3b

Developed by bigscience

BLOOM is a multilingual large language model supporting 46 languages, focusing on text generation tasks.

Supports Multiple LanguagesOpen Source License:Openrail #Multilingual text generation #Low-resource language support #African language optimization

Downloads 11.82k

Release Time : 5/19/2022

Model Overview

BLOOM is a multilingual large language model developed by the BigScience team, supporting a wide range of African and Asian languages, suitable for various text generation tasks.

Model Features

Multilingual support

Supports 46 languages, with special focus on African and Asian languages.

Extensive text generation capabilities

Capable of performing various text generation tasks, including Q&A, translation, and content creation.

Open-source license

Uses the bigscience-bloom-rail-1.0 license, allowing both research and commercial use.

Model Capabilities

Text generation

Multilingual text processing

Q&A systems

Language translation

Use Cases

Education

Multilingual educational tools

Provides educational content generation for students from diverse linguistic backgrounds.

Content creation

Multilingual content generation

Automatically generates articles, stories, and other content for audiences in different languages.

Research

Linguistic research

Used for studying text generation capabilities in low-resource languages.

🚀 Bloom Text Generation Model

Bloom is a powerful text generation model supporting multiple languages, offering performance metrics on various datasets.

📚 Documentation

Model Information

License: bigscience-bloom-rail-1.0
Supported Languages: ak, ar, as, bm, bn, ca, code, en, es, eu, fon, fr, gu, hi, id, ig, ki, kn, lg, ln, ml, mr, ne, nso, ny, or, pa, pt, rn, rw, sn, st, sw, ta, te, tn, ts, tum, tw, ur, vi, wo, xh, yo, zh, zhs, zht, zu
Pipeline Tag: text-generation

Model Index

Model Name: bloom
Results:
- Task: Text Generation
  - Dataset: arc_challenge
    - Metrics:
      - acc: 0.27986348122866894 (not verified)
  - Dataset: arc_easy
    - Metrics:
      - acc: 0.5946969696969697 (not verified)
  - Dataset: axb
    - Metrics:
      - acc: 0.4433876811594203 (not verified)
  - Dataset: axg
    - Metrics:
      - acc: 0.5 (not verified)
  - Dataset: boolq
    - Metrics:
      - acc: 0.6165137614678899 (not verified)
  - Dataset: cb
    - Metrics:
      - acc: 0.30357142857142855 (not verified)
  - Dataset: cola
    - Metrics:
      - acc: 0.610738255033557 (not verified)
  - Dataset: copa
    - Metrics:
      - acc: 0.63 (not verified)
  - Dataset: crows_pairs_english
    - Metrics:
      - acc: 0.4973166368515206 (not verified)
  - Dataset: crows_pairs_french
    - Metrics:
      - acc: 0.5032796660703638 (not verified)
  - Dataset: diabla
    - Metrics:
      - acc: 0.28888308977035493 (not verified)
  - Datasets with byte_perplexity metric:
    - gsarti/flores_101_afr: byte_perplexity = 6.500798737976343 (not verified)
    - gsarti/flores_101_amh: byte_perplexity = 3.9726863338897145 (not verified)
    - gsarti/flores_101_ara: byte_perplexity = 1.8083841089875814 (not verified)
    - gsarti/flores_101_asm: byte_perplexity = 5.699102962086425 (not verified)
    - gsarti/flores_101_ast: byte_perplexity = 3.9252047073429384 (not verified)
    - gsarti/flores_101_azj: byte_perplexity = 6.942805054270002 (not verified)
    - gsarti/flores_101_bel: byte_perplexity = 3.614136245847082 (not verified)
    - gsarti/flores_101_ben: byte_perplexity = 5.121491534300969 (not verified)
    - gsarti/flores_101_bos: byte_perplexity = 5.653353469118798 (not verified)
    - gsarti/flores_101_bul: byte_perplexity = 2.7014693938055068 (not verified)
    - gsarti/flores_101_cat: byte_perplexity = 2.305190041967345 (not verified)
    - gsarti/flores_101_ceb: byte_perplexity = 6.291000321323428 (not verified)
    - gsarti/flores_101_ces: byte_perplexity = 5.447322753586386 (not verified)
    - gsarti/flores_101_ckb: byte_perplexity = 3.7255124939234765 (not verified)
    - gsarti/flores_101_cym: byte_perplexity = 12.539424151448149 (not verified)
    - gsarti/flores_101_dan: byte_perplexity = 5.183309001005672 (not verified)
    - gsarti/flores_101_deu: byte_perplexity = 3.1180422286591347 (not verified)
    - gsarti/flores_101_ell: byte_perplexity = 2.467943456164706 (not verified)
    - gsarti/flores_101_eng: byte_perplexity = 2.018740628193298 (not verified)
    - gsarti/flores_101_est: byte_perplexity = 9.11654425176368 (not verified)
    - gsarti/flores_101_fas: byte_perplexity = 3.058009097116482 (not verified)
    - gsarti/flores_101_fin: byte_perplexity = 6.847047959628553 (not verified)
    - gsarti/flores_101_fra: byte_perplexity = 1.9975177011840075 (not verified)
    - gsarti/flores_101_ful: byte_perplexity = 11.465912731488828 (not verified)
    - gsarti/flores_101_gle: byte_perplexity = 8.681491663539422 (not verified)
    - gsarti/flores_101_glg: byte_perplexity = 3.029991089015508 (not verified)
    - gsarti/flores_101_guj: byte_perplexity = 4.955224230286231 (not verified)
    - gsarti/flores_101_hau: byte_perplexity = 10.758347356372159 (not verified)
    - gsarti/flores_101_heb: byte_perplexity = 3.6004478129801667 (not verified)
    - gsarti/flores_101_hin: byte_perplexity = 4.712530650588064 (not verified)
    - gsarti/flores_101_hrv: byte_perplexity = 5.822418943372185 (not verified)
    - gsarti/flores_101_hun: byte_perplexity = 6.440482646965992 (not verified)
    - gsarti/flores_101_hye: byte_perplexity = 3.657718918347166 (not verified)
    - gsarti/flores_101_ibo: byte_perplexity = 5.564814003872672 (not verified)
    - gsarti/flores_101_ind: byte_perplexity = 2.1597101468869373 (not verified)
    - gsarti/flores_101_isl: byte_perplexity = 8.082349269518136 (not verified)
    - gsarti/flores_101_ita: byte_perplexity = 2.9687591414176207 (not verified)
    - gsarti/flores_101_jav: byte_perplexity = 7.0573805415708994 (not verified)

📄 License

The model is released under the bigscience-bloom-rail-1.0 license.

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