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Cogvlm2 Llama3 Chat 19B Int4 by zai-org

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Cogvlm2 Llama3 Chat 19B Int4 is an open-source language model by zai-org. Features: 19b LLM, VRAM: 12.5GB, Context: 8K, License: other, LLM Explorer Score: 0.14.

  Arxiv:2311.03079   4-bit   Bitsandbytes   Chat   Cogvlm2   Conversational   Custom code   En   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/zai-org/cogvlm2-llama3-chat-19B-int4 

Cogvlm2 Llama3 Chat 19B Int4 Benchmarks

LLME Score: 0.1413
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cogvlm2 Llama3 Chat 19B Int4 (zai-org/cogvlm2-llama3-chat-19B-int4)
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Cogvlm2 Llama3 Chat 19B Int4 Parameters and Internals

LLM NameCogvlm2 Llama3 Chat 19B Int4
Repository 🤗https://huggingface.co/zai-org/cogvlm2-llama3-chat-19B-int4 
Model Size19b
Required VRAM12.5 GB
Updated2026-04-05
Maintainerzai-org
Model Files  12.5 GB
Supported Languagesen
Model ArchitectureCogVLMForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.42.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Context / RAM
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Cogvlm2 Llama3 Chat 19B8K / 39.1 GB7692213
Cogvlm2 Llama3 Chat 19B8K / 39.1 GB4568220
Cogvlm2 Llama3 Chat 19B Int48K / 12.5 GB47330
...ogvlm2 Llama3 Chinese Chat 19B8K / 39.1 GB28667
...ogvlm2 Llama3 Chinese Chat 19B8K / 39.1 GB6969
...m2 Llama3 Chinese Chat 19B Tgi8K / 30.9 GB422
Cogvlm2 Llama3 Chat 19B Tgi8K / 30.9 GB183
Cogvlm2 Llama3 Chat 19B Tgi8K / 30.9 GB63
...m2 Llama3 Chinese Chat 19B Tgi8K / 30.9 GB42
...2 Llama3 Chinese Chat 19B Int48K / 12.5 GB3011
Note: green Score (e.g. "73.2") means that the model is better than zai-org/cogvlm2-llama3-chat-19B-int4.

Rank the Cogvlm2 Llama3 Chat 19B Int4 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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