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BLOOMChat 176B V1 GPTQ by TheBloke

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  4bit   Autotrain compatible   Bloom   Gptq   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/BLOOMChat-176B-v1-GPTQ 

BLOOMChat 176B V1 GPTQ Benchmarks

LLME Score: 0.0961
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BLOOMChat 176B V1 GPTQ (TheBloke/BLOOMChat-176B-v1-GPTQ)
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BLOOMChat 176B V1 GPTQ Parameters and Internals

Model Type 
Multilingual, Chat Model, Language Model
Use Cases 
Areas:
Commercial, Research
Applications:
Multilingual chat, Question answering, Generative conversations
Primary Use Cases:
Multilingual chat-based LLM
Limitations:
Mission-critical applications, Safety-involving applications, Highly important decisions
Considerations:
Model prone to mistakes and hallucinations
Supported Languages 
English (fluent, native), Multilingual (various languages)
Training Details 
Data Sources:
OIG dataset from OpenChatKit, Dolly 2.0, Oasst1
Methodology:
Instruction-tuned on OpenChatKit and Dolly 2.0
Hardware Used:
SambaNova Reconfigurable Dataflow Unit (RDU)
Model Architecture:
Language model
Input Output 
Input Format:
Multilingual prompts
Accepted Modalities:
text
Output Format:
Generative responses
Performance Tips:
Ensure sufficient GPU memory
LLM NameBLOOMChat 176B V1 GPTQ
Repository 🤗https://huggingface.co/TheBloke/BLOOMChat-176B-v1-GPTQ 
Base Model(s)  BLOOMChat 176B V1   sambanovasystems/BLOOMChat-176B-v1
Model Size176b
Required VRAM4.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typebloom
Model Files  48.3 GB   48.3 GB   4.2 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureBloomForCausalLM
Licenseother
Transformers Version4.30.2
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250880
Torch Data Typebfloat16

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Bloomz 176B GPTQ0K / 4.2 GB1219
BLOOMChat 176B V1 8bit0K / 187.7 GB152
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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/BLOOMChat-176B-v1-GPTQ.

Rank the BLOOMChat 176B V1 GPTQ 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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