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Gaja V2.00 by damerajee

 »  All LLMs  »  damerajee  »  Gaja V2.00   URL Share it on

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  Autotrain compatible   Bilingual   Conversational   Dataset:sarvamai/samvaad-hi-v1   En   Endpoints compatible   English   Hi   Hindi   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Gaja V2.00 Benchmarks

ARC: 51.79-46.2%
HellaSwag: 75.79-20.5%
MMLU: 40.69-53%
TruthfulQA: 41.5-29.7%
WinoGrande: 71.9-17.8%
GSM8K: 0.23-99.8%
nn.n% — How the model compares to the GPT-4.

Gaja V2.00 Parameters and Internals

LLM NameGaja V2.00
RepositoryOpen on 🤗 
Model Size7b
Required VRAM13.9 GB
Updated2024-07-26
Maintainerdamerajee
Model Typellama
Model Files  4.0 GB: 1-of-4   4.0 GB: 2-of-4   4.0 GB: 3-of-4   1.9 GB: 4-of-4
Supported Languagesen hi
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size48064
Torch Data Typefloat16
Gaja V2.00 (damerajee/Gaja-v2.00)

Best Alternatives to Gaja V2.00

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...1M 1000000ctx AEZAKMI 3 1 17020.21024K / 13.5 GB3121
Yarn Llama 2 7B 128K0.2128K / 13.5 GB1283338
LLaMA 7B PoSE YaRN 128K0.2128K / 13.5 GB272
LLaMA 7B PoSE YaRN 96K0.296K / 13.5 GB101
LLaMA 7B PoSE Linear 96K0.296K / 27 GB71
Chat Llama2 7B 80K0.280K / 13.8 GB100
Llama2 7B 80K0.280K / 13.8 GB70
Lloma Step4000.364K / 13.5 GB3060
Lloma Step2000.364K / 13.5 GB3130
Lloma Step500.264K / 13.5 GB3030
Note: green Score (e.g. "73.2") means that the model is better than damerajee/Gaja-v2.00.

Rank the Gaja V2.00 Capabilities

🆘 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! 🌟

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 v2024072501
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