Bloom GGML by rustformers

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  Ak   Ar   As   Bm   Bn   Ca   Code   En   Endpoints compatible   Es   Eu   Fon   Fr   Ggml   Gu   Hi   Id   Ig   Ki   Kn   Lg   Llm-rs   Ln   Ml   Mr   Ne   Nso   Ny   Or   Pa   Pt   Q4   Q4 0   Quantized   Region:us   Rn   Rw   Sn   St   Sw   Ta   Te   Tn   Ts   Tum   Tw   Ur   Vi   Wo   Xh   Yo   Zh   Zu
Model Card on HF ๐Ÿค—: https://huggingface.co/rustformers/bloom-ggml 

Bloom GGML Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bloom GGML (rustformers/bloom-ggml)
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Bloom GGML Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
text generation
Primary Use Cases:
Coherent text output in selected languages and programming languages, Instructed text tasks
Additional Notes 
Converted models available in various types and versions such as F16, Q4_0, Q5_1 in GGML and GGJT containers.
Supported Languages 
languages_supported (46 languages, 13 programming languages), proficiency_levels ()
Training Details 
Methodology:
Model architecture designed for autoregressive text generation.
Model Architecture:
Autoregressive LLM
LLM NameBloom GGML
Repository ๐Ÿค—https://huggingface.co/rustformers/bloom-ggml 
Model Size3b
Required VRAM0.5 GB
Updated2025-08-23
Maintainerrustformers
Model Files  2.9 GB   0.8 GB   0.8 GB   1.1 GB   1.1 GB   4.5 GB   1.3 GB   1.3 GB   1.7 GB   1.7 GB   7.3 GB   2.1 GB   2.1 GB   2.7 GB   2.7 GB   1.6 GB   0.5 GB   0.5 GB   0.6 GB   0.6 GB
Supported Languagesak ar as bm bn ca code en es eu fr gu hi id ig ki kn lg ln ml mr ne ny or pa pt rn rw sn st sw ta te tn ts tw ur vi wo xh yo zh zu
GGML QuantizationYes
Quantization Typeggml|q4|q4_0|q5_1
Model ArchitectureAutoModel
Licensebigscience-bloom-rail-1.0

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Note: green Score (e.g. "73.2") means that the model is better than rustformers/bloom-ggml.

Rank the Bloom GGML Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124