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BLOOMChat 176B V2 by sambanovasystems

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BLOOMChat 176B V2 is an open-source language model by sambanovasystems. Features: 176b LLM, VRAM: 155.7GB, License: other, LLM Explorer Score: 0.12.

  Bloom   Endpoints compatible   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/sambanovasystems/BLOOMChat-176B-v2 

BLOOMChat 176B V2 Benchmarks

LLME Score: 0.11863
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BLOOMChat 176B V2 (sambanovasystems/BLOOMChat-176B-v2)
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BLOOMChat 176B V2 Parameters and Internals

Model Type 
Language Model
Use Cases 
Areas:
Commercial, Research
Limitations:
Mission-critical applications, Applications that involve safety, Making highly important decisions, Automated pipelines
Additional Notes 
Bloch is still in early development and can be prone to mistakes and hallucinations. It supports multiple languages and has been tested on a variety of conversational and question-answering tasks.
Supported Languages 
Multilingual (Multiple languages)
Training Details 
Data Sources:
mc4 3.1.0, RefinedWeb, StarCoder, The PILE, Pile of Law, EDGAR, arXiv papers, YouTube transcripts, OIG dataset, Dolly 2.0, Oasst1
Methodology:
Finetuning from BLOOM on long-sequence multilingual data and assistant-style conversation datasets.
Hardware Used:
SambaNova Reconfigurable Dataflow Unit (RDU)
LLM NameBLOOMChat 176B V2
Repository 🤗https://huggingface.co/sambanovasystems/BLOOMChat-176B-v2 
Model Size176b
Required VRAM155.7 GB
Updated2026-01-16
Maintainersambanovasystems
Model Typebloom
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Model ArchitectureBloomForCausalLM
Licenseother
Transformers Version4.25.0
Vocabulary Size250880

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Rank the BLOOMChat 176B V2 Capabilities

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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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