AquilaChat2 34B 16K by BAAI

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  Arxiv:2408.07410   Aquila   Autotrain compatible   Custom code   Pytorch   Region:us   Sharded

AquilaChat2 34B 16K Benchmarks

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 (BAAI/AquilaChat2-34B-16K)

AquilaChat2 34B 16K Parameters and Internals

Model Type 
chat, long-text synthesis
Additional Notes 
The additional details of the Aquila model will be presented in the official technical report.
Supported Languages 
en (English), zh (Chinese)
Release Notes 
Version:
v1.2
Date:
2023-10-25
Notes:
Significantly improved long-text synthesis capabilities compared to the V1 version, incorporates more conventional instruction fine-tuning corpora, enhancing performance in non-long-text scenarios compared to the V1 version.
LLM NameAquilaChat2 34B 16K
Repository ๐Ÿค—https://huggingface.co/BAAI/AquilaChat2-34B-16K 
Model Size34b
Required VRAM67.2 GB
Updated2025-02-05
MaintainerBAAI
Model Typeaquila
Model Files  10.0 GB: 1-of-7   9.8 GB: 2-of-7   9.7 GB: 3-of-7   9.7 GB: 4-of-7   9.7 GB: 5-of-7   9.7 GB: 6-of-7   8.6 GB: 7-of-7
Model ArchitectureAquilaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.31.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size100008
Torch Data Typebfloat16

Quantized Models of the AquilaChat2 34B 16K

Model
Likes
Downloads
VRAM
AquilaChat2 34B 16K GGUF1420214 GB
AquilaChat2 34B 16K GPTQ62618 GB
AquilaChat2 34B 16K AWQ4919 GB

Best Alternatives to AquilaChat2 34B 16K

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Context / RAM
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Aquila2 34B8K / 136.4 GB274417
AquilaChat2 34B4K / 67.2 GB14947
H2ogpt 16K Aquilachat2 34B4K / 67.2 GB754
AquilaChat2 34B 16K GPTQ4K / 18.7 GB266
AquilaChat2 34B GPTQ4K / 18.7 GB302
AquilaChat2 34B 16K AWQ4K / 19.3 GB94
AquilaChat2 34B AWQ4K / 19.3 GB81
Note: green Score (e.g. "73.2") means that the model is better than BAAI/AquilaChat2-34B-16K.

Rank the AquilaChat2 34B 16K Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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 v20241227