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Landmark 33B by alpindale

 »  All LLMs  »  alpindale  »  Landmark 33B   URL Share it on

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  Arxiv:2305.16300   Autotrain compatible   Custom code Dataset:togethercomputer/redpa...   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/alpindale/landmark-33b 

Landmark 33B Benchmarks

LLME Score: 0.10982
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Landmark 33B (alpindale/landmark-33b)

Landmark 33B Parameters and Internals

Model Type 
text generation
Additional Notes 
Model is expected to be further trained and updated later.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
togethercomputer/RedPajama-Data-1T-Sample
Methodology:
PEFT LoRA technique with Landmark Attention method over 200 steps
LLM NameLandmark 33B
Repository 🤗https://huggingface.co/alpindale/landmark-33b 
Model Size33b
Required VRAM65.2 GB
Updated2025-02-15
Maintaineralpindale
Model Typellama
Model Files  9.8 GB: 1-of-7   10.0 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   10.0 GB: 6-of-7   5.7 GB: 7-of-7
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.30.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than alpindale/landmark-33b.

Rank the Landmark 33B 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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