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AquilaChat2 34B 16K GPTQ by TheBloke

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AquilaChat2 34B 16K GPTQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 18.7GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.1.

  4-bit   Aquila Base model:baai/aquilachat2-34... Base model:quantized:baai/aqui...   Custom code   Gptq   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/AquilaChat2-34B-16K-GPTQ 

AquilaChat2 34B 16K GPTQ Benchmarks

LLME Score: 0.09847
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AquilaChat2 34B 16K GPTQ (TheBloke/AquilaChat2-34B-16K-GPTQ)
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AquilaChat2 34B 16K GPTQ Parameters and Internals

Model Type 
aquila
Input Output 
Input Format:
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:
LLM NameAquilaChat2 34B 16K GPTQ
Repository 🤗https://huggingface.co/TheBloke/AquilaChat2-34B-16K-GPTQ 
Model NameAquilachat2 34B 16K
Model CreatorBeijing Academy of Artificial Intelligence
Base Model(s)  AquilaChat2 34B 16K   BAAI/AquilaChat2-34B-16K
Model Size34b
Required VRAM18.7 GB
Updated2026-04-29
MaintainerTheBloke
Model Typeaquila
Model Files  9.9 GB: 1-of-2   8.8 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureAquilaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size100008
Torch Data Typefloat16

Best Alternatives to AquilaChat2 34B 16K GPTQ

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AquilaChat2 34B GPTQ4K / 18.7 GB192
AquilaChat2 34B 16K16K / 67.2 GB91824
Aquila2 34B8K / 136.4 GB55118
AquilaChat2 34B4K / 67.2 GB91147
AquilaChat2 34B 16K AWQ4K / 19.3 GB903
AquilaChat2 34B AWQ4K / 19.3 GB111
H2ogpt 16K Aquilachat2 34B4K / 67.2 GB324
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/AquilaChat2-34B-16K-GPTQ.

Rank the AquilaChat2 34B 16K 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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