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AquilaChat2 34B AWQ by TheBloke

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  4-bit   Aquila   Autotrain compatible   Awq Base model:baai/aquilachat2-34... Base model:quantized:baai/aqui...   Custom code   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/AquilaChat2-34B-AWQ 

AquilaChat2 34B AWQ Benchmarks

LLME Score: 0.14192
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AquilaChat2 34B AWQ (TheBloke/AquilaChat2-34B-AWQ)

AquilaChat2 34B AWQ Parameters and Internals

Model Type 
aquila
Input Output 
Input Format:
System: A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions. Human: {prompt} Assistant:
Accepted Modalities:
text
LLM NameAquilaChat2 34B AWQ
Repository 🤗https://huggingface.co/TheBloke/AquilaChat2-34B-AWQ 
Model NameAquilaChat2 34B
Model CreatorBeijing Academy of Artificial Intelligence
Base Model(s)  AquilaChat2 34B   BAAI/AquilaChat2-34B
Model Size34b
Required VRAM19.3 GB
Updated2025-02-05
MaintainerTheBloke
Model Typeaquila
Model Files  10.0 GB: 1-of-2   9.3 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureAquilaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size100008
Torch Data Typefloat16

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Context / RAM
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AquilaChat2 34B 16K AWQ4K / 19.3 GB94
AquilaChat2 34B 16K16K / 67.2 GB13625
Aquila2 34B8K / 136.4 GB274417
AquilaChat2 34B4K / 67.2 GB14947
AquilaChat2 34B 16K GPTQ4K / 18.7 GB266
AquilaChat2 34B GPTQ4K / 18.7 GB302
H2ogpt 16K Aquilachat2 34B4K / 67.2 GB754
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/AquilaChat2-34B-AWQ.

Rank the AquilaChat2 34B AWQ 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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Release v20241227
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